WO2010138520A1 - Method and apparatus for a motion state aware headset - Google Patents
Method and apparatus for a motion state aware headset Download PDFInfo
- Publication number
- WO2010138520A1 WO2010138520A1 PCT/US2010/036091 US2010036091W WO2010138520A1 WO 2010138520 A1 WO2010138520 A1 WO 2010138520A1 US 2010036091 W US2010036091 W US 2010036091W WO 2010138520 A1 WO2010138520 A1 WO 2010138520A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- motion
- context
- headset
- logic
- user
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/60—Substation equipment, e.g. for use by subscribers including speech amplifiers
- H04M1/6033—Substation equipment, e.g. for use by subscribers including speech amplifiers for providing handsfree use or a loudspeaker mode in telephone sets
- H04M1/6041—Portable telephones adapted for handsfree use
- H04M1/6058—Portable telephones adapted for handsfree use involving the use of a headset accessory device connected to the portable telephone
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
Definitions
- the present invention relates to a headset or other user carried device, and more particularly to a motion state aware headset or device.
- a headset is a headphone combined with a microphone. Headsets provide the equivalent functionality of a telephone handset with hands-free operation. Headsets can be wired or wireless. Wireless headsets generally connect to a phone via a Bluetooth or equivalent network connection.
- a device comprising a motion context logic that receives data from at least one motion sensor is described.
- the motion context logic determines a user's motion context.
- Context based action logic manages the device based on the user's motion context.
- Figure 1 is an illustration of an exemplary headset, a telephone, and their connectivity.
- Figure 2 is an illustration of one embodiment of a dual processor implementation of the device.
- Figure 3 is a block diagram of one embodiment of the context-based system.
- Figure 4 is a flowchart of one embodiment of determining motion context.
- Figure 5 is a flowchart of one embodiment of utilizing motion context based commands.
- Figure 6 is a flowchart of one embodiment of adjusting settings based on motion context.
- Figure 7 is a flowchart of one embodiment of how power management is handled.
- the method and apparatus described is for a motion context aware headset or user carried device.
- headset is used in the description, one of skill in the art would understand that the description below also applies to mobile phones, eye glasses, or other user carried devices which may include a motion sensing mechanism, and can be adjusted in their actions and responses based on the user's motion state.
- the device in one embodiment, is designed to be coupled to a cellular phone or other telephone. In another embodiment, the device may be a self-contained cellular unit which directly interacts with the cellular network.
- the headset includes at least one motion sensor.
- the headset may also receive data from other sensors.
- these sensors may be in the headset, or may be external.
- sensors may include a global positioning system (GPS) sensor, one or more motion sensors in the phone/handset, a barometric sensor, capacitance (touch) sensor(s), proximity sensors, or other sensors which may provide motion context.
- GPS global positioning system
- sensors may include a global positioning system (GPS) sensor, one or more motion sensors in the phone/handset, a barometric sensor, capacitance (touch) sensor(s), proximity sensors, or other sensors which may provide motion context.
- GPS global positioning system
- touch capacitance
- proximity sensors or other sensors which may provide motion context.
- FIG. 1 is an illustration of an exemplary headset, a telephone, and their connectivity.
- Headset 1 10 is coupled to a mobile device 130, in one embodiment, via local communication link 120.
- headset 1 10 is paired with mobile device.
- local communication link 120 is a Personal Area Network (PAN) link.
- PAN Personal Area Network
- the link is a Bluetooth link.
- Mobile device 130 can connect to a network 150 through cellular communication link 140, wireless frequency (WiFi) link, such as a link through an 802.1 1 (a)-(g) compliant modem.
- headset 1 10 may include links to communicate directly with the cellular network and/or the wireless network.
- the headset 1 10 and mobile device 130 may share processing, to maximize battery life and provide the most seamless experience possible to the user.
- FIG. 2 is an illustration of one embodiment of a dual processor implementation of the headset.
- Low power processor 210 has as its inputs the buttons, the accelerometer, and in one embodiment a speech sensor, and other sensors included in the device. In one embodiment, some sensors which utilize extensive processing may be coupled to, or part of, the high power processor 250.
- low power processor 210 may be a Texas Instruments® MSP430 microcontroller which is an ultra-low-power 16-bit RISC mixed-signal processor.
- the low power processor (LPP) also can turn on and off a high power processor (HPP) 250.
- the high power processor HPP in one embodiment may be a CSR® BlueCoreTM 5 integrated circuit which provides a programmable single-chip Bluetooth solution with on-chip DSP, stereo CODEC, and Flash memory.
- the high power processor HPP may be a different type of processor, providing different functionality.
- the LPP 210 receives data from various sensors, which may include accelerometer 220 and other sensors (not shown).
- accelerometer 220 is the BOSCH Sensortec ® BMA150.
- the LPP 210 also sends and receives signals from and to user input device (button 240) and user output device (LED 245).
- user input device button 240
- LED 245 user output device
- the device may have a dial, a set of buttons, capacitance touch sensitive pads, a touch screen, or another type of user interface.
- LEDs light emitting diodes
- the device may have a screen, or any other visual data display mechanism.
- HPP 250 maintains a Bluetooth connection, when it is awake, and receives any call signals from a telephone that is coupled to the headset 200.
- the LPP 210 determines, using headset logic engine, whether the HPP 250 should be woken up. If so, the LPP 210 sends a Power On signal to the HPP 250. Similarly, when the device is quiescent, and the HPP 250 is not needed, the LPP 210 sends a Power Off signal, in one embodiment. In one embodiment, the HPP may automatically go to sleep if no use has been detected in a preset period of time, e.g. 5 seconds. In one embodiment, the HPP maintains a Bluetooth connection with the handset, if available.
- FIG. 3 is a block diagram of one embodiment of the context-based system.
- the context based system in one embodiment, is implemented on low power processor (LPP).
- LPP low power processor
- HPP high power processor
- the processes are split based on the specific processing requirements.
- the high power processor is only used to handle maintaining a Bluetooth connection, and phone calls which require voice processing.
- the motion context logic 310 receives sensor data.
- the sensor data is motion data.
- other sensor data may also be received.
- other sensor data may include data such as barometer data, GPS data, temperature data, or any other data which may be used by the headset.
- the data is collected by buffer 305.
- some of the sensor data may be unrelated to the motion logic context, and may be simply collected by the context based system. In that case, in one embodiment, the data may simply be stored, in store 307.
- store 307 may be Flash memory, or similar non-volatile storage.
- Store 307 in one embodiment, may also store processed data from sensors.
- Motion context logic 310 uses the sensor data to determine the user's motion context.
- the motion context of the user may include determining whether the user is wearing the headset, whether the user is sitting, standing, laying down, moving in various ways.
- the location context of the user may be part of the motion context. That is, in one embodiment the motion context of "walking on the street” may be different from the motion context of "walking around a track.”
- Context based action logic 320 receives the motion context information from motion context logic 310.
- Context based action logic 320 in one embodiment is implemented in the logic engine of the low power processor 210.
- Gesture command logic 325 identifies motion commands.
- commands may be defined by gestures, e.g. the user tapping the headset once, twice, three times, or in a certain pattern. For example, two rapid taps followed by a slower tap. Commands may also be defined by shakes, or other recognizable movements.
- the commands available via a gesture command logic interface replace the commands entered via button pushes in the prior art. Since it is significantly easier to tap the side of a headset while wearing it - instead of attempting to successfully push a small button that one cannot see - this improves the user experience. Also it allows for a waterproof, or water resistant and sweat-proof button-free device.
- Gesture commands in one embodiment, may be defined out of the box.
- the user may further add, edit, and delete gesture commands to configure the device to suit their preferences.
- gesture commands depend on the motion context. For example, a double tap when the user is running may initiate a run/training sequence. The same double tap when there is an incoming call may pick up the call.
- a user may define custom gesture commands.
- the user interface may permit the use of verbal instructions, in programming the device. Verbal instructions may also be used in conjunction with, or to replace gesture commands.
- the gesture command logic 325 passes identified gesture commands to power management 335. Power management 335 determines whether to turn on- off the high power processor (not shown).
- the high power processor is used to execute related actions.
- power management 335 ensures that the high power processor is active.
- Process sharing system 370 passes data and requests to the high power processor, and receives returned processed data, when appropriate.
- Context based action logic 320 may further include sound adjust logic 340.
- Sound adjust logic 340 adjusts the sound input and output parameters, when appropriate.
- the sound output may be a receiving telephone connection, music played on the device, beeps, feedback noises, or any other sounds produced by the device.
- the sounds may be too loud or two soft - the user may need a louder ring for example when he or she is jogging than in an office, the speaker volume may need to be louder when the user is driving in the car, the microphone may need to pick up softer tones and reduce echo in a quiet office.
- the system adjusts the sounds based on the determined motion context.
- the method disclosed in co-pending application Serial No. 12/469,633, entitled A "Method And Apparatus For Adjusting Headset/Handset Audio For A User Environment” filed May 20, 2009, which is herein incorporated by reference may be utilized in connection with sound adjust logic 340.
- Call management system 345 detects when a call is received.
- the handset receives the call, and transmits a "ring" message to the headphone. If the high power processor is asleep, power management 335 handles it, and ensures that the call is transmitted.
- the gesture command logic 325 receives the command to pick up the call, if given by the user.
- sensor management 365 manages the power consumption of various sensors. In one embodiment, sensors are turned off when the headset is not in use, to increase battery life. For example, when the headset is not moving, it is not necessary to obtain GPS data more than once. Similarly, when the motion data indicates that the headset has not moved, or has moved minimally, barometer data and temperature data is unlikely to have changed. Therefore, those sensors can be turned off.
- one of the functions provided by the system is to turn the headset functionality to a minimum when the headset is not being worn. For example, users will often take off their Bluetooth headset, not turn it off, and leave it on the desk for most of the day.
- the high power processor may be completely off, along with almost all sensors, while the low power processor is on stand-by and periodically monitors the motion sensor.
- the LPP goes to sleep, and periodically wakes up just enough to sample the accelerometer and analyze the accelerometer data.
- the monitoring period is every second. In another embodiment, it may be more or less frequent. In one embodiment, the monitoring period gradually increases, from when lack of motion is initially detected, to a maximum delay. In one embodiment, the maximum delay may be 1 second.
- the LPP goes back to sleep. If the sample indicates that there is motion, the LPP wakes up, continues monitoring the accelerometer. In one embodiment, the LPP further determines whether the HPP should be woken up too. In one embodiment, the LPP automatically wakes up the HPP when it detects that the user has placed the headset in the "wearing" position, e.g. in the ear/head/etc. In one embodiment, the physical configuration of the headset is such that the position in which it is worn can be distinguished from any resting position. In one embodiment, the motion characteristics of placing the headset in the worn location are detected. This is because the user may be picking up the phone in order to take a call. The HPP establishes a Bluetooth connection to the phone, and determines whether there is a call in progress. If not, the HPP, in one embodiment, goes back to sleep.
- the user By waking up the HPP when the headset is placed on the ear, the user perceives no delay in the ability to pick up the call on the headset.
- the LPP waits until a gesture command is received before activating the HPP.
- the user may set, via options, which happens.
- the low power sensor When the user picks up the headset to pick up the phone, the low power sensor is powered up when it detects motion via the accelerometer sensor. Then, in one embodiment, the HPP is automatically woken, to determine whether there is a phone call/ring in progress. In another embodiment, the LPP monitors for the "pick-up phone command" and wakes up the HPP when that command is detected. The LPP, in one embodiment wakes up any other relevant sensors. In this way, the battery life of a headset can be significantly extended.
- Figure 4 is a flowchart of one embodiment of determining motion context.
- the process starts at block 405.
- the headset is powered up.
- the process is initiated when the headset is powered.
- the process is initiated when the headset is paired with a phone and/or powered up.
- the system starts receiving accelerometer data.
- the accelerometer in one embodiment, is located in the headset. In one embodiment the accelerometer data is buffered.
- the process determines whether there are any other accelerometers which may be providing data to be processed. In one embodiment, there may be more than one accelerometer in the headset. In one embodiment, there may be a separate accelerometer in the handset, or in another external sensor location. In one embodiment, data from these additional accelerometers is received, and integrated 435 to get a better idea of the current motion data of the user.
- the process determines whether there are any other sensors.
- the headset or paired handset may include additional sensors such as a barometric sensor, a thermometer, a proximity sensor, a capacitance (touch) sensor, and/or other sensors that may assist in determining the user's motion state. If there are additional sensors, the data from the additional sensors is integrated into the motion state data at block 445.
- the process determines whether location data is available. If so, at block 455 the user's location context is calculated. At block 460, the user's motion context is determined based on all available data. In one embodiment, the user's motion context includes the user's position (e.g. walking, running, standing, sitting, laying down), as well as the user's proximate location (e.g. at the office, on the street, in a car, etc.).
- the user's position e.g. walking, running, standing, sitting, laying down
- the user's proximate location e.g. at the office, on the street, in a car, etc.
- the final "motion context” may include location context. This enables the system to differentiate between “the user is walking down a busy street” and “the user is walking in a hallway in his office.”
- FIG. 5 is a flowchart of one embodiment of utilizing motion context based commands.
- the process starts at block 505.
- a command is identified.
- the command may have been communicated via motion (e.g. tapping on the headset, shaking the headset up and down, etc.). Alternatively, the command may be indicated through the push of a button, or by verbally giving a command.
- the process continues to block 520.
- the process determines whether the command has motion context. If so, at block 530, the process obtains the motion context.
- the process determines whether the command has an action context.
- Certain commands mean different things based on other actions within the headset. For example, the same tap may indicate "pick up the phone” if the phone is ringing, and "hang up the phone” if a call has just been terminated. Thus, if appropriate the action context is determined, at block 550.
- FIG. 6 is a flowchart of one embodiment of adjusting settings based on motion context. The process starts at block 605. In one embodiment, this process is active whenever the headset is active.
- the process determines whether there has been a motion context change. If so, at block 630, the process determines whether any active applications are context dependent. If there are no context-dependent applications, the process returns to block 610 to continue monitoring. When there is an active application which relies on context, the process continues to block 640.
- the process continues to block 620.
- the process determines whether there has been a context-based function initiated. If not, the process returns to block 610, to continue monitoring for motion context changes. If a context based function has been initiated, the process continues directly to block 640.
- the new motion context is obtained. Note that the motion context describes the user's/device's current state.
- the application-relevant settings are obtained.
- the application relevant settings indicate which features are used by the application, and suggested changes to those settings based on the current motion context. For example, if the application in question is a music player, the volume, bass level, treble level may be the settings which are indicated.
- the process determines whether the change in context indicates that one or more of those settings need adjusting. If not, the process returns to block 610, to continue monitoring. For example, when a user moves from sitting to standing in the same location, it is likely that no adjustment to the volume of music playing is needed. However, if the user moves from walking to jogging, louder sound is likely needed to be heard. Similarly, in one embodiment, command recognition is tightened or loosened based on the user's motion state. For example, when a user is jogging, a lot of motions appear to be like a gesture command.
- a more narrow definition of the gesture command may be used to ensure that what is indicated is the gesture command, rather than mere jostling motions from jogging.
- the jogging-related motion is subtracted from the motion data to determine whether a command was received.
- the appropriate settings are altered.
- the process then returns to block 610.
- the settings are automatically adjusted based on user and application context, as the user moves through his or her day. This means that the user need not fiddle with the headset when he or she gets into a car, or walks into a loud restaurant. This type of automatic adjustment is very convenient.
- FIG. 7 is a flowchart of one embodiment of how power management is handled. The process starts at block 705. At block 710, the headset is turned on.
- sensor data is monitored and integrated to get a user motion context. As noted above, this reflects the user standing, sitting, walking, jogging, etc. It may further include motion location context, e.g. “standing in the office” or “walking into a loud restaurant” or “driving/riding in a car.”
- the process determines whether the headset is not in use. In one embodiment, this may be indicated when the headset has been immobile for a preset period. In general, whenever a human is wearing an object, that human makes small motions. Even someone holding "perfect still” makes micro motions which would be detectable by an accelerometer or other motion sensing device. In one embodiment, the industrial design of the headset ensures that it is worn in an orientation unlikely to be replicated when headset is just sitting on a surface, and the orientation is used to determine whether the headset is not in use. Therefore, if a device is not in use for a period of time, it indicates that the device has been placed somewhere, and is no longer being worn. If that is the case, the process continues to block 725. At block 725, the high power processor is placed in deep sleep mode.
- the low power processor is placed in a power saving mode as well.
- the motion sensor is monitored, to detect if the user picks up the headset. But, in one embodiment, no other sensors are monitored. In one embodiment, all other sensors which can be controlled by the headset are also placed in low power consumption mode, or turned off. Clearly when the headset is not moving, continuously monitoring the GPS signal is not useful. In one embodiment, the sensors remain on, but the sampling rate is lowered significantly.
- the low power processor may monitor something other than motion data, e.g. gyroscope data, weight data, etc.
- the process monitors to see if motion is detected. As noted above, this may be done via an accelerometer within the device itself, or coupled to the device. In one embodiment, the monitoring frequency decreases over time. In one embodiment, the monitoring frequency may decrease gradually from the standard accelerometer sampling rate to a stand-by rate.
- the low power processor is used to detect the motion context.
- the motion context generally would indicate why the headset had been moved, e.g. to pick up a call on the headset, etc. The process then continues to block 745.
- the process determines whether any of the identified applications, states, or received commands use additional processing power to be provided by the high power processor. In one embodiment, if the headset is picked up and placed in the configuration to be worn, the system determines whether there is an incoming phone call. In one embodiment, this uses the Bluetooth connection, and therefore high power processor is woken up. If so, at block 760 the high power processor is woken up. The process monitors until the actions are completed. At which point the process returns to block 715 to continue monitoring motions.
Abstract
A device comprising a motion context logic that receives data from at least one motion sensor is described. The motion context logic determines a user's motion context. Context based action logic manages the device based on the user's motion context.
Description
METHOD AND APPARATUS FOR A MOTION STATE AWARE HEADSET
FIELD OF THE INVENTION
[0001] The present invention relates to a headset or other user carried device, and more particularly to a motion state aware headset or device.
BACKGROUND
[0002] A headset is a headphone combined with a microphone. Headsets provide the equivalent functionality of a telephone handset with hands-free operation. Headsets can be wired or wireless. Wireless headsets generally connect to a phone via a Bluetooth or equivalent network connection.
SUMMARY
[0003] A device comprising a motion context logic that receives data from at least one motion sensor is described. The motion context logic determines a user's motion context. Context based action logic manages the device based on the user's motion context.
BRIEF DESCRIPTION OF THE DRAWINGS
[0004] The present invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:
[0005] Figure 1 is an illustration of an exemplary headset, a telephone, and their connectivity.
[0006] Figure 2 is an illustration of one embodiment of a dual processor implementation of the device.
[0007] Figure 3 is a block diagram of one embodiment of the context-based system.
[0008] Figure 4 is a flowchart of one embodiment of determining motion context.
[0009] Figure 5 is a flowchart of one embodiment of utilizing motion context based commands.
[0010] Figure 6 is a flowchart of one embodiment of adjusting settings based on motion context.
[0011] Figure 7 is a flowchart of one embodiment of how power management is handled.
DETAILED DESCRIPTION
[0012] The method and apparatus described is for a motion context aware headset or user carried device. Although the term headset is used in the description, one of skill in the art would understand that the description below also applies to mobile phones, eye glasses, or other user carried devices which may include a motion sensing mechanism, and can be adjusted in their actions and responses based on the user's motion state. The device, in one embodiment, is designed to be coupled to a cellular phone or other telephone. In another embodiment, the device may be a self-contained cellular unit which directly interacts with the cellular network.
[0013] The headset includes at least one motion sensor. The headset may also receive data from other sensors. In one embodiment, these sensors may be in the headset, or may be external. For example, sensors may include a global positioning system (GPS) sensor, one or more motion sensors in the phone/handset, a barometric sensor, capacitance (touch) sensor(s), proximity sensors, or other sensors which may provide motion context.
[0014] The following detailed description of embodiments of the invention makes reference to the accompanying drawings in which like references indicate similar elements, showing by way of illustration specific embodiments of practicing the invention. Description of these embodiments is in sufficient detail to enable those skilled in the art to practice the invention. One skilled in the art understands that other embodiments may be utilized and that logical, mechanical, electrical, functional and other changes may be made without departing from the scope of the present
invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims.
[0015] Figure 1 is an illustration of an exemplary headset, a telephone, and their connectivity. Headset 1 10 is coupled to a mobile device 130, in one embodiment, via local communication link 120. In one embodiment, headset 1 10 is paired with mobile device. In one embodiment, local communication link 120 is a Personal Area Network (PAN) link. In one embodiment, the link is a Bluetooth link. Mobile device 130 can connect to a network 150 through cellular communication link 140, wireless frequency (WiFi) link, such as a link through an 802.1 1 (a)-(g) compliant modem. In one embodiment, headset 1 10 may include links to communicate directly with the cellular network and/or the wireless network. In one embodiment, the headset 1 10 and mobile device 130 may share processing, to maximize battery life and provide the most seamless experience possible to the user.
[0016] Figure 2 is an illustration of one embodiment of a dual processor implementation of the headset. Low power processor 210 has as its inputs the buttons, the accelerometer, and in one embodiment a speech sensor, and other sensors included in the device. In one embodiment, some sensors which utilize extensive processing may be coupled to, or part of, the high power processor 250. In one embodiment, low power processor 210 may be a Texas Instruments® MSP430 microcontroller which is an ultra-low-power 16-bit RISC mixed-signal processor. The low power processor (LPP) also can turn on and off a high power processor (HPP) 250.
[0017] The high power processor HPP in one embodiment may be a CSR® BlueCore™ 5 integrated circuit which provides a programmable single-chip Bluetooth solution with on-chip DSP, stereo CODEC, and Flash memory. In another embodiment, the high power processor HPP may be a different type of processor, providing different functionality.
[0018] In one embodiment, the LPP 210 receives data from various sensors, which may include accelerometer 220 and other sensors
(not shown). In one embodiment, accelerometer 220 is the BOSCH Sensortec ® BMA150. The LPP 210 also sends and receives signals from and to user input device (button 240) and user output device (LED 245). These are merely exemplary user interfaces, of course, alternative interfaces may be utilized. For example, instead of or in addition to a button, the device may have a dial, a set of buttons, capacitance touch sensitive pads, a touch screen, or another type of user interface. Instead of or in addition to light emitting diodes (LEDs) 245, the device may have a screen, or any other visual data display mechanism. In one embodiment, HPP 250 maintains a Bluetooth connection, when it is awake, and receives any call signals from a telephone that is coupled to the headset 200.
[0019] The LPP 210 determines, using headset logic engine, whether the HPP 250 should be woken up. If so, the LPP 210 sends a Power On signal to the HPP 250. Similarly, when the device is quiescent, and the HPP 250 is not needed, the LPP 210 sends a Power Off signal, in one embodiment. In one embodiment, the HPP may automatically go to sleep if no use has been detected in a preset period of time, e.g. 5 seconds. In one embodiment, the HPP maintains a Bluetooth connection with the handset, if available.
[0020] Figure 3 is a block diagram of one embodiment of the context-based system. The context based system, in one embodiment, is implemented on low power processor (LPP). In one embodiment, the context based system is implemented across an LPP and a high power processor (HPP). The processes are split based on the specific processing requirements. However, in one embodiment, in a headset the high power processor is only used to handle maintaining a Bluetooth connection, and phone calls which require voice processing.
[0021] The motion context logic 310 receives sensor data. In one embodiment, the sensor data is motion data. In one embodiment, other sensor data may also be received. In one embodiment, other sensor data may include data such as barometer data, GPS data, temperature data, or any other data which may be used by the headset. In one embodiment, the data is collected by buffer 305. In one embodiment, some of the sensor
data may be unrelated to the motion logic context, and may be simply collected by the context based system. In that case, in one embodiment, the data may simply be stored, in store 307. In one embodiment, store 307 may be Flash memory, or similar non-volatile storage. Store 307, in one embodiment, may also store processed data from sensors.
[0022] Motion context logic 310 uses the sensor data to determine the user's motion context. The motion context of the user may include determining whether the user is wearing the headset, whether the user is sitting, standing, laying down, moving in various ways. In one embodiment, the location context of the user may be part of the motion context. That is, in one embodiment the motion context of "walking on the street" may be different from the motion context of "walking around a track."
[0023] Context based action logic 320 receives the motion context information from motion context logic 310. Context based action logic 320 in one embodiment is implemented in the logic engine of the low power processor 210.
[0024] Gesture command logic 325 identifies motion commands. In one embodiment, commands may be defined by gestures, e.g. the user tapping the headset once, twice, three times, or in a certain pattern. For example, two rapid taps followed by a slower tap. Commands may also be defined by shakes, or other recognizable movements. In one embodiment, the commands available via a gesture command logic interface replace the commands entered via button pushes in the prior art. Since it is significantly easier to tap the side of a headset while wearing it - instead of attempting to successfully push a small button that one cannot see - this improves the user experience. Also it allows for a waterproof, or water resistant and sweat-proof button-free device. Gesture commands, in one embodiment, may be defined out of the box. In one embodiment, the user may further add, edit, and delete gesture commands to configure the device to suit their preferences. In one embodiment, gesture commands depend on the motion context. For example, a double tap when the user is running may initiate a run/training sequence. The same double tap when there is an incoming call may pick up the call.
[0025] In one embodiment, a user may define custom gesture commands. In one embodiment, the user interface may permit the use of verbal instructions, in programming the device. Verbal instructions may also be used in conjunction with, or to replace gesture commands. The gesture command logic 325 passes identified gesture commands to power management 335. Power management 335 determines whether to turn on- off the high power processor (not shown).
[0026] For certain commands, the high power processor is used to execute related actions. In that case, power management 335 ensures that the high power processor is active. Process sharing system 370 passes data and requests to the high power processor, and receives returned processed data, when appropriate.
[0027] Context based action logic 320 may further include sound adjust logic 340. Sound adjust logic 340 adjusts the sound input and output parameters, when appropriate. The sound output may be a receiving telephone connection, music played on the device, beeps, feedback noises, or any other sounds produced by the device. Depending on the user's context, the sounds may be too loud or two soft - the user may need a louder ring for example when he or she is jogging than in an office, the speaker volume may need to be louder when the user is driving in the car, the microphone may need to pick up softer tones and reduce echo in a quiet office. The system adjusts the sounds based on the determined motion context. In one embodiment, the method disclosed in co-pending application Serial No. 12/469,633, entitled A "Method And Apparatus For Adjusting Headset/Handset Audio For A User Environment" filed May 20, 2009, which is herein incorporated by reference, may be utilized in connection with sound adjust logic 340.
[0028] Call management system 345 detects when a call is received. In one embodiment, the handset receives the call, and transmits a "ring" message to the headphone. If the high power processor is asleep, power management 335 handles it, and ensures that the call is transmitted. The gesture command logic 325 receives the command to pick up the call, if given by the user.
[0029] In one embodiment, sensor management 365 manages the power consumption of various sensors. In one embodiment, sensors are turned off when the headset is not in use, to increase battery life. For example, when the headset is not moving, it is not necessary to obtain GPS data more than once. Similarly, when the motion data indicates that the headset has not moved, or has moved minimally, barometer data and temperature data is unlikely to have changed. Therefore, those sensors can be turned off.
[0030] In one embodiment, one of the functions provided by the system is to turn the headset functionality to a minimum when the headset is not being worn. For example, users will often take off their Bluetooth headset, not turn it off, and leave it on the desk for most of the day. During this time, the high power processor may be completely off, along with almost all sensors, while the low power processor is on stand-by and periodically monitors the motion sensor. In one embodiment, the LPP goes to sleep, and periodically wakes up just enough to sample the accelerometer and analyze the accelerometer data. In one embodiment, the monitoring period is every second. In another embodiment, it may be more or less frequent. In one embodiment, the monitoring period gradually increases, from when lack of motion is initially detected, to a maximum delay. In one embodiment, the maximum delay may be 1 second.
[0031] If the data indicates no motion, the LPP goes back to sleep. If the sample indicates that there is motion, the LPP wakes up, continues monitoring the accelerometer. In one embodiment, the LPP further determines whether the HPP should be woken up too. In one embodiment, the LPP automatically wakes up the HPP when it detects that the user has placed the headset in the "wearing" position, e.g. in the ear/head/etc. In one embodiment, the physical configuration of the headset is such that the position in which it is worn can be distinguished from any resting position. In one embodiment, the motion characteristics of placing the headset in the worn location are detected. This is because the user may be picking up the phone in order to take a call. The HPP establishes a
Bluetooth connection to the phone, and determines whether there is a call in progress. If not, the HPP, in one embodiment, goes back to sleep.
[0032] By waking up the HPP when the headset is placed on the ear, the user perceives no delay in the ability to pick up the call on the headset. In another embodiment, the LPP waits until a gesture command is received before activating the HPP. In one embodiment, the user may set, via options, which happens.
[0033] When the user picks up the headset to pick up the phone, the low power sensor is powered up when it detects motion via the accelerometer sensor. Then, in one embodiment, the HPP is automatically woken, to determine whether there is a phone call/ring in progress. In another embodiment, the LPP monitors for the "pick-up phone command" and wakes up the HPP when that command is detected. The LPP, in one embodiment wakes up any other relevant sensors. In this way, the battery life of a headset can be significantly extended.
[0034] Figure 4 is a flowchart of one embodiment of determining motion context. The process starts at block 405. At block 410, the headset is powered up. In one embodiment, the process is initiated when the headset is powered. In another embodiment, the process is initiated when the headset is paired with a phone and/or powered up.
[0035] At block 420, the system starts receiving accelerometer data. The accelerometer, in one embodiment, is located in the headset. In one embodiment the accelerometer data is buffered. At block 430, the process determines whether there are any other accelerometers which may be providing data to be processed. In one embodiment, there may be more than one accelerometer in the headset. In one embodiment, there may be a separate accelerometer in the handset, or in another external sensor location. In one embodiment, data from these additional accelerometers is received, and integrated 435 to get a better idea of the current motion data of the user.
[0036] At block 440, the process determines whether there are any other sensors. In one embodiment, the headset or paired handset may include additional sensors such as a barometric sensor, a thermometer, a
proximity sensor, a capacitance (touch) sensor, and/or other sensors that may assist in determining the user's motion state. If there are additional sensors, the data from the additional sensors is integrated into the motion state data at block 445.
[0037] At block 450, the process determines whether location data is available. If so, at block 455 the user's location context is calculated. At block 460, the user's motion context is determined based on all available data. In one embodiment, the user's motion context includes the user's position (e.g. walking, running, standing, sitting, laying down), as well as the user's proximate location (e.g. at the office, on the street, in a car, etc.).
[0038] Thus, the final "motion context" may include location context. This enables the system to differentiate between "the user is walking down a busy street" and "the user is walking in a hallway in his office."
[0039] Figure 5 is a flowchart of one embodiment of utilizing motion context based commands. The process starts at block 505. At block 510, a command is identified. The command may have been communicated via motion (e.g. tapping on the headset, shaking the headset up and down, etc.). Alternatively, the command may be indicated through the push of a button, or by verbally giving a command. The process continues to block 520.
[0040] At block 520, the process determines whether the command has motion context. If so, at block 530, the process obtains the motion context.
[0041] At block 540, the process determines whether the command has an action context. Certain commands mean different things based on other actions within the headset. For example, the same tap may indicate "pick up the phone" if the phone is ringing, and "hang up the phone" if a call has just been terminated. Thus, if appropriate the action context is determined, at block 550.
[0042] At block 560, the correct version actions associated with the received command is executed. The process then ends.
[0043] Figure 6 is a flowchart of one embodiment of adjusting settings based on motion context. The process starts at block 605. In one embodiment, this process is active whenever the headset is active.
[0044] At block 610, the process determines whether there has been a motion context change. If so, at block 630, the process determines whether any active applications are context dependent. If there are no context-dependent applications, the process returns to block 610 to continue monitoring. When there is an active application which relies on context, the process continues to block 640.
[0045] If there has been no context change, the process continues to block 620. At block 620, the process determines whether there has been a context-based function initiated. If not, the process returns to block 610, to continue monitoring for motion context changes. If a context based function has been initiated, the process continues directly to block 640.
[0046] At block 640, the new motion context is obtained. Note that the motion context describes the user's/device's current state.
[0047] At block 650, the application-relevant settings are obtained. The application relevant settings indicate which features are used by the application, and suggested changes to those settings based on the current motion context. For example, if the application in question is a music player, the volume, bass level, treble level may be the settings which are indicated.
[0048] At block 660, the process determines whether the change in context indicates that one or more of those settings need adjusting. If not, the process returns to block 610, to continue monitoring. For example, when a user moves from sitting to standing in the same location, it is likely that no adjustment to the volume of music playing is needed. However, if the user moves from walking to jogging, louder sound is likely needed to be heard. Similarly, in one embodiment, command recognition is tightened or loosened based on the user's motion state. For example, when a user is jogging, a lot of motions appear to be like a gesture command. Thus, a more narrow definition of the gesture command may be used to ensure that
what is indicated is the gesture command, rather than mere jostling motions from jogging. For example, in one embodiment, the jogging-related motion is subtracted from the motion data to determine whether a command was received.
[0049] If adjustment is needed, at block 670 the appropriate settings are altered. The process then returns to block 610. In this way, the settings are automatically adjusted based on user and application context, as the user moves through his or her day. This means that the user need not fiddle with the headset when he or she gets into a car, or walks into a loud restaurant. This type of automatic adjustment is very convenient.
[0050] Figure 7 is a flowchart of one embodiment of how power management is handled. The process starts at block 705. At block 710, the headset is turned on.
[0051] At block 715, sensor data is monitored and integrated to get a user motion context. As noted above, this reflects the user standing, sitting, walking, jogging, etc. It may further include motion location context, e.g. "standing in the office" or "walking into a loud restaurant" or "driving/riding in a car."
[0052] At block 720, the process determines whether the headset is not in use. In one embodiment, this may be indicated when the headset has been immobile for a preset period. In general, whenever a human is wearing an object, that human makes small motions. Even someone holding "perfect still" makes micro motions which would be detectable by an accelerometer or other motion sensing device. In one embodiment, the industrial design of the headset ensures that it is worn in an orientation unlikely to be replicated when headset is just sitting on a surface, and the orientation is used to determine whether the headset is not in use. Therefore, if a device is not in use for a period of time, it indicates that the device has been placed somewhere, and is no longer being worn. If that is the case, the process continues to block 725. At block 725, the high power processor is placed in deep sleep mode.
[0053] At block 730, the low power processor is placed in a power saving mode as well. In power saving mode, the motion sensor is
monitored, to detect if the user picks up the headset. But, in one embodiment, no other sensors are monitored. In one embodiment, all other sensors which can be controlled by the headset are also placed in low power consumption mode, or turned off. Clearly when the headset is not moving, continuously monitoring the GPS signal is not useful. In one embodiment, the sensors remain on, but the sampling rate is lowered significantly. In one embodiment, the low power processor may monitor something other than motion data, e.g. gyroscope data, weight data, etc.
[0054] Once the devices are in power save mode, the process monitors to see if motion is detected. As noted above, this may be done via an accelerometer within the device itself, or coupled to the device. In one embodiment, the monitoring frequency decreases over time. In one embodiment, the monitoring frequency may decrease gradually from the standard accelerometer sampling rate to a stand-by rate.
[0055] If motion is detected, at block 740 the low power processor is used to detect the motion context. The motion context generally would indicate why the headset had been moved, e.g. to pick up a call on the headset, etc. The process then continues to block 745.
[0056] At block 745, the process determines whether any of the identified applications, states, or received commands use additional processing power to be provided by the high power processor. In one embodiment, if the headset is picked up and placed in the configuration to be worn, the system determines whether there is an incoming phone call. In one embodiment, this uses the Bluetooth connection, and therefore high power processor is woken up. If so, at block 760 the high power processor is woken up. The process monitors until the actions are completed. At which point the process returns to block 715 to continue monitoring motions.
[0057] If at block 745, the high power processor was found to be unnecessary, at block 759 the LPP is used to perform the relevant operations. The process then returns to block 715 to continue monitoring.
[0058] In the foregoing specification, the invention has been described with reference to specific exemplary embodiments thereof. It will, however, be evident that various modifications and changes may be made
thereto without departing from the broader spirit and scope of the invention as set forth in the appended claims. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims
1. A motion aware device comprising: a motion context logic to determine a motion context of the device; a context-based action logic to manage the device based on the motion context.
2. The device of claim 1 , further comprising: a gesture command logic to identify a motion command and to determine an appropriate action, the appropriate action defined by the motion context and application context of the headset.
3. The device of claim 1 , further comprising: a sound adjust logic to adjust an input and/or an output sound level based on the motion context of the device.
4. The device of claim 1 , further comprising: a power management system to place portions of the device into a suspended state, when the device is not being actively used, the state of not being actively used determined based on the motion context.
5. The device of claim 4, wherein the portion of the headset placed into the suspended state comprises a processor.
6. The device of claim 4, further comprising, the power management system placing at least one sensor coupled to the headset into a power saving mode.
7. The device of claim 4, wherein when the device is immobile for a period, the suspended state includes having only the motion data monitored to detect removal from inactive status.
8. A motion-state aware device comprising: a low power processor (LPP) to monitor a motion sensor, the LPP including: a motion context logic to determine a motion context of the device; a context-based action logic to manage the device based on the motion context.
9. The device of claim 8, further comprising: a high power processor to provide processing capability, the high power processor turned on and off by the LPP based on the motion context.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP10781099.6A EP2436196B1 (en) | 2009-05-26 | 2010-05-25 | Method and apparatus for a motion state aware headset |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/472,361 US9529437B2 (en) | 2009-05-26 | 2009-05-26 | Method and apparatus for a motion state aware device |
US12/472,361 | 2009-05-26 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2010138520A1 true WO2010138520A1 (en) | 2010-12-02 |
Family
ID=43221715
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2010/036091 WO2010138520A1 (en) | 2009-05-26 | 2010-05-25 | Method and apparatus for a motion state aware headset |
Country Status (3)
Country | Link |
---|---|
US (1) | US9529437B2 (en) |
EP (1) | EP2436196B1 (en) |
WO (1) | WO2010138520A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2483493A (en) * | 2010-09-10 | 2012-03-14 | Cambridge Silicon Radio Ltd | Headset ear detection that controls alerting signals so as to be less noticeable if the device is in proximity to the user's ear |
Families Citing this family (49)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7647195B1 (en) * | 2006-07-11 | 2010-01-12 | Dp Technologies, Inc. | Method and apparatus for a virtual accelerometer system |
CN102016975A (en) | 2008-03-28 | 2011-04-13 | 寇平公司 | Handheld wireless display device having high-resolution display suitable for use as a mobile internet device |
CN102460349A (en) | 2009-05-08 | 2012-05-16 | 寇平公司 | Remote control of host application using motion and voice commands |
US10013976B2 (en) | 2010-09-20 | 2018-07-03 | Kopin Corporation | Context sensitive overlays in voice controlled headset computer displays |
US9571925B1 (en) * | 2010-10-04 | 2017-02-14 | Nortek Security & Control Llc | Systems and methods of reducing acoustic noise |
US9830507B2 (en) * | 2011-03-28 | 2017-11-28 | Nokia Technologies Oy | Method and apparatus for detecting facial changes |
EP2712432A4 (en) | 2011-05-10 | 2014-10-29 | Kopin Corp | Headset computer that uses motion and voice commands to control information display and remote devices |
US10463300B2 (en) * | 2011-09-19 | 2019-11-05 | Dp Technologies, Inc. | Body-worn monitor |
US11344460B1 (en) | 2011-09-19 | 2022-05-31 | Dp Technologies, Inc. | Sleep quality optimization using a controlled sleep surface |
US10561376B1 (en) | 2011-11-03 | 2020-02-18 | Dp Technologies, Inc. | Method and apparatus to use a sensor in a body-worn device |
US8812425B2 (en) | 2011-12-14 | 2014-08-19 | Microsoft Corporation | Method for rule-based context acquisition |
WO2013101438A1 (en) | 2011-12-29 | 2013-07-04 | Kopin Corporation | Wireless hands-free computing head mounted video eyewear for local/remote diagnosis and repair |
US9339691B2 (en) | 2012-01-05 | 2016-05-17 | Icon Health & Fitness, Inc. | System and method for controlling an exercise device |
PL398136A1 (en) | 2012-02-17 | 2013-08-19 | Binartech Spólka Jawna Aksamit | Method for detecting the portable device context and a mobile device with the context detection module |
US9600169B2 (en) * | 2012-02-27 | 2017-03-21 | Yahoo! Inc. | Customizable gestures for mobile devices |
US8929954B2 (en) | 2012-04-25 | 2015-01-06 | Kopin Corporation | Headset computer (HSC) as auxiliary display with ASR and HT input |
US8948789B2 (en) | 2012-05-08 | 2015-02-03 | Qualcomm Incorporated | Inferring a context from crowd-sourced activity data |
US9063731B2 (en) | 2012-08-27 | 2015-06-23 | Samsung Electronics Co., Ltd. | Ultra low power apparatus and method to wake up a main processor |
US20140181715A1 (en) * | 2012-12-26 | 2014-06-26 | Microsoft Corporation | Dynamic user interfaces adapted to inferred user contexts |
US9301085B2 (en) * | 2013-02-20 | 2016-03-29 | Kopin Corporation | Computer headset with detachable 4G radio |
US9254409B2 (en) | 2013-03-14 | 2016-02-09 | Icon Health & Fitness, Inc. | Strength training apparatus with flywheel and related methods |
US20140368313A1 (en) * | 2013-06-14 | 2014-12-18 | Texas Instruments Incorporated | Vehicle keyfob with accelerometer to extend battery life |
US20150089359A1 (en) * | 2013-09-25 | 2015-03-26 | At&T Mobility Ii Llc | Intelligent Adaptation of Home Screens |
US20150089360A1 (en) * | 2013-09-25 | 2015-03-26 | At&T Mobility Ii Llc | Intelligent Adaptation of User Interfaces |
US20150089386A1 (en) * | 2013-09-25 | 2015-03-26 | At&T Mobility Ii Llc | Intelligent Adaptation of Home Screens According to Handedness |
WO2015100429A1 (en) | 2013-12-26 | 2015-07-02 | Icon Health & Fitness, Inc. | Magnetic resistance mechanism in a cable machine |
WO2015138339A1 (en) | 2014-03-10 | 2015-09-17 | Icon Health & Fitness, Inc. | Pressure sensor to quantify work |
US10426989B2 (en) | 2014-06-09 | 2019-10-01 | Icon Health & Fitness, Inc. | Cable system incorporated into a treadmill |
WO2015195965A1 (en) | 2014-06-20 | 2015-12-23 | Icon Health & Fitness, Inc. | Post workout massage device |
JP6510231B2 (en) * | 2014-08-27 | 2019-05-08 | 京セラ株式会社 | Portable electronic devices |
GB2531718B (en) * | 2014-10-24 | 2017-08-02 | Cambridge temperature concepts ltd | Activating an electronic device |
US9612722B2 (en) * | 2014-10-31 | 2017-04-04 | Microsoft Technology Licensing, Llc | Facilitating interaction between users and their environments using sounds |
US10391361B2 (en) | 2015-02-27 | 2019-08-27 | Icon Health & Fitness, Inc. | Simulating real-world terrain on an exercise device |
JP6587918B2 (en) * | 2015-11-27 | 2019-10-09 | 京セラ株式会社 | Electronic device, electronic device control method, electronic device control apparatus, control program, and electronic device system |
JP2017147652A (en) * | 2016-02-18 | 2017-08-24 | ソニーモバイルコミュニケーションズ株式会社 | Information processing apparatus |
US10625137B2 (en) | 2016-03-18 | 2020-04-21 | Icon Health & Fitness, Inc. | Coordinated displays in an exercise device |
US10493349B2 (en) | 2016-03-18 | 2019-12-03 | Icon Health & Fitness, Inc. | Display on exercise device |
US10272317B2 (en) | 2016-03-18 | 2019-04-30 | Icon Health & Fitness, Inc. | Lighted pace feature in a treadmill |
US10685665B2 (en) | 2016-08-17 | 2020-06-16 | Vocollect, Inc. | Method and apparatus to improve speech recognition in a high audio noise environment |
US10181321B2 (en) | 2016-09-27 | 2019-01-15 | Vocollect, Inc. | Utilization of location and environment to improve recognition |
US10671705B2 (en) | 2016-09-28 | 2020-06-02 | Icon Health & Fitness, Inc. | Customizing recipe recommendations |
EP3398513A1 (en) * | 2017-05-02 | 2018-11-07 | Koninklijke Philips N.V. | Detecting periods of inactivity |
US20190187950A1 (en) * | 2017-12-19 | 2019-06-20 | Onkyo Corporation | Electronic device |
KR20200090438A (en) | 2019-01-21 | 2020-07-29 | 삼성전자주식회사 | Electronic device and method for preventing damage of display |
CN113196729B (en) * | 2019-09-20 | 2022-06-03 | Jvc建伍株式会社 | Portable terminal |
US11511177B2 (en) * | 2020-07-06 | 2022-11-29 | Z Enterprises | Pool lap counter |
US11388513B1 (en) | 2021-03-24 | 2022-07-12 | Iyo Inc. | Ear-mountable listening device with orientation discovery for rotational correction of microphone array outputs |
US11669294B2 (en) * | 2021-05-28 | 2023-06-06 | Microsoft Technology Licensing, Llc | Computing device headset input |
US11792364B2 (en) | 2021-05-28 | 2023-10-17 | Microsoft Technology Licensing, Llc | Headset virtual presence |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050212753A1 (en) * | 2004-03-23 | 2005-09-29 | Marvit David L | Motion controlled remote controller |
US20050232404A1 (en) * | 2004-04-15 | 2005-10-20 | Sharp Laboratories Of America, Inc. | Method of determining a user presence state |
US7010332B1 (en) * | 2000-02-21 | 2006-03-07 | Telefonaktiebolaget Lm Ericsson(Publ) | Wireless headset with automatic power control |
US20060167943A1 (en) * | 2005-01-27 | 2006-07-27 | Outland Research, L.L.C. | System, method and computer program product for rejecting or deferring the playing of a media file retrieved by an automated process |
GB2431813A (en) | 2005-10-28 | 2007-05-02 | Eleanor Johnson | Headphone audio system automatically switched ON/OFF by motion |
US20090043531A1 (en) * | 2007-08-08 | 2009-02-12 | Philippe Kahn | Human activity monitoring device with distance calculation |
US20090290718A1 (en) | 2008-05-21 | 2009-11-26 | Philippe Kahn | Method and Apparatus for Adjusting Audio for a User Environment |
Family Cites Families (382)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4285041A (en) | 1979-06-22 | 1981-08-18 | Smith Kent G | Digital pacing timer |
US4571680A (en) | 1981-05-27 | 1986-02-18 | Chyuan Jong Wu | Electronic music pace-counting shoe |
US4578769A (en) | 1983-02-09 | 1986-03-25 | Nike, Inc. | Device for determining the speed, distance traversed, elapsed time and calories expended by a person while running |
US4700369A (en) | 1986-01-28 | 1987-10-13 | Joseph Siegal | Athletic activities counter |
US4776323A (en) | 1987-06-03 | 1988-10-11 | Donald Spector | Biofeedback system for an exerciser |
DE4040811A1 (en) | 1990-12-14 | 1992-07-09 | Iris Gmbh Infrared & Intellige | DIRECTIONAL SELECTIVE COUNTING AND SWITCHING DEVICE |
US5506987A (en) | 1991-02-01 | 1996-04-09 | Digital Equipment Corporation | Affinity scheduling of processes on symmetric multiprocessing systems |
AU2557492A (en) | 1991-08-28 | 1993-04-05 | Intelectron Products Company | Method and apparatus for detecting entry |
JP2570016B2 (en) | 1991-08-29 | 1997-01-08 | 富士通株式会社 | Path switch switching method for optical transmission equipment |
DE69231230T2 (en) | 1991-11-12 | 2001-03-01 | Microchip Tech Inc | SWITCH-ON DELAY FOR MICRO-CONTROLLERS |
US5515419A (en) | 1992-06-01 | 1996-05-07 | Trackmobile | Tracking system and method for tracking a movable object carrying a cellular phone unit, and integrated personal protection system incorporating the tracking system |
JP3505199B2 (en) | 1992-06-30 | 2004-03-08 | 株式会社リコー | Video camera jitter correction device, data compression device, data decompression device, data compression method, and data decompression method |
US5732143A (en) * | 1992-10-29 | 1998-03-24 | Andrea Electronics Corp. | Noise cancellation apparatus |
US5446775A (en) | 1993-12-20 | 1995-08-29 | Wright; Larry A. | Motion detector and counter |
US5485402A (en) | 1994-03-21 | 1996-01-16 | Prosthetics Research Study | Gait activity monitor |
US5645077A (en) | 1994-06-16 | 1997-07-08 | Massachusetts Institute Of Technology | Inertial orientation tracker apparatus having automatic drift compensation for tracking human head and other similarly sized body |
JPH0895643A (en) | 1994-09-26 | 1996-04-12 | Fanuc Ltd | Feedforward control method for servo motor |
US6539336B1 (en) | 1996-12-12 | 2003-03-25 | Phatrat Technologies, Inc. | Sport monitoring system for determining airtime, speed, power absorbed and other factors such as drop distance |
US6885971B2 (en) | 1994-11-21 | 2005-04-26 | Phatrat Technology, Inc. | Methods and systems for assessing athletic performance |
US6266623B1 (en) | 1994-11-21 | 2001-07-24 | Phatrat Technology, Inc. | Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height |
US5778882A (en) | 1995-02-24 | 1998-07-14 | Brigham And Women's Hospital | Health monitoring system |
US5583776A (en) | 1995-03-16 | 1996-12-10 | Point Research Corporation | Dead reckoning navigational system using accelerometer to measure foot impacts |
US5593431A (en) | 1995-03-30 | 1997-01-14 | Medtronic, Inc. | Medical service employing multiple DC accelerometers for patient activity and posture sensing and method |
AU5726596A (en) | 1995-05-05 | 1996-11-21 | Apple Computer, Inc. | System and method for providing cooperative interrupts in a preemptive task scheduling environment |
US5703786A (en) | 1995-08-14 | 1997-12-30 | Profile Systems, Llc | Medication dispensing and timing system utilizing time reference message |
US5948044A (en) | 1996-05-20 | 1999-09-07 | Harris Corporation | Hybrid GPS/inertially aided platform stabilization system |
US5941836A (en) | 1996-06-12 | 1999-08-24 | Friedman; Mark B. | Patient position monitor |
EP0816986B1 (en) | 1996-07-03 | 2006-09-06 | Hitachi, Ltd. | System for recognizing motions |
US6766176B1 (en) | 1996-07-23 | 2004-07-20 | Qualcomm Incorporated | Method and apparatus for automatically adjusting speaker and microphone gains within a mobile telephone |
JP3111909B2 (en) | 1996-09-27 | 2000-11-27 | 松下電器産業株式会社 | Mobile phone |
CA2218242C (en) | 1996-10-11 | 2005-12-06 | Kenneth R. Fyfe | Motion analysis system |
US5737439A (en) | 1996-10-29 | 1998-04-07 | Smarttouch, Llc. | Anti-fraud biometric scanner that accurately detects blood flow |
US6145389A (en) | 1996-11-12 | 2000-11-14 | Ebeling; W. H. Carl | Pedometer effective for both walking and running |
US5771001A (en) | 1996-11-18 | 1998-06-23 | Cobb; Marlon J. | Personal alarm system |
US6429895B1 (en) | 1996-12-27 | 2002-08-06 | Canon Kabushiki Kaisha | Image sensing apparatus and method capable of merging function for obtaining high-precision image by synthesizing images and image stabilization function |
US5960085A (en) | 1997-04-14 | 1999-09-28 | De La Huerga; Carlos | Security badge for automated access control and secure data gathering |
US6050962A (en) | 1997-04-21 | 2000-04-18 | Virtual Technologies, Inc. | Goniometer-based body-tracking device and method |
US6240294B1 (en) | 1997-05-30 | 2001-05-29 | Itt Manufacturing Enterprises, Inc. | Mobile radio device having adaptive position transmitting capabilities |
US5976083A (en) | 1997-07-30 | 1999-11-02 | Living Systems, Inc. | Portable aerobic fitness monitor for walking and running |
US7046857B2 (en) | 1997-07-31 | 2006-05-16 | The Regents Of The University Of California | Apparatus and methods for image and signal processing |
US6898550B1 (en) | 1997-10-02 | 2005-05-24 | Fitsense Technology, Inc. | Monitoring activity of a user in locomotion on foot |
US6493652B1 (en) | 1997-10-02 | 2002-12-10 | Personal Electronic Devices, Inc. | Monitoring activity of a user in locomotion on foot |
US6611789B1 (en) | 1997-10-02 | 2003-08-26 | Personal Electric Devices, Inc. | Monitoring activity of a user in locomotion on foot |
US6301964B1 (en) | 1997-10-14 | 2001-10-16 | Dyhastream Innovations Inc. | Motion analysis system |
GB9722766D0 (en) | 1997-10-28 | 1997-12-24 | British Telecomm | Portable computers |
US6336891B1 (en) | 1997-12-08 | 2002-01-08 | Real Vision Corporation | Interactive exercise pad system |
US6963361B1 (en) | 1998-02-24 | 2005-11-08 | Canon Kabushiki Kaisha | Image sensing method and apparatus capable of performing vibration correction when sensing a moving image |
JPH11253572A (en) | 1998-03-09 | 1999-09-21 | Csk Corp | Practicing device for health improvement |
US6013007A (en) | 1998-03-26 | 2000-01-11 | Liquid Spark, Llc | Athlete's GPS-based performance monitor |
ES2190558T3 (en) | 1998-07-06 | 2003-08-01 | Siemens Building Tech Ag | MOVEMENT DETECTOR. |
JP3593459B2 (en) | 1998-07-27 | 2004-11-24 | 株式会社日立製作所 | Moving object monitoring method and system |
US7027087B2 (en) | 1998-08-21 | 2006-04-11 | Nikon Corporation | Electronic camera |
US6369794B1 (en) | 1998-09-09 | 2002-04-09 | Matsushita Electric Industrial Co., Ltd. | Operation indication outputting device for giving operation indication according to type of user's action |
US6532419B1 (en) | 1998-09-23 | 2003-03-11 | Magellan Dis, Inc. | Calibration of multi-axis accelerometer in vehicle navigation system |
US5955871A (en) | 1998-10-14 | 1999-09-21 | Intel Corporation | Voltage regulator that bases control on a state of a power conservation mode |
US6930708B1 (en) | 1998-11-30 | 2005-08-16 | Ricoh Company, Ltd. | Apparatus and system for correction based upon detecting a camera shaking |
US6353449B1 (en) | 1998-12-10 | 2002-03-05 | International Business Machines Corporation | Communicating screen saver |
US6398727B1 (en) | 1998-12-23 | 2002-06-04 | Baxter International Inc. | Method and apparatus for providing patient care |
JP3282721B2 (en) | 1999-02-02 | 2002-05-20 | 日本電気株式会社 | Portable wireless communication device |
DE19906293C2 (en) | 1999-02-15 | 2000-11-30 | Siemens Ag | Method for the detection of pilot tones |
CN1348650A (en) | 1999-04-19 | 2002-05-08 | 诺基亚网络有限公司 | Method for delivering messages |
AU4473000A (en) | 1999-04-20 | 2000-11-02 | John Warren Stringer | Human gestural input device with motion and pressure |
US6788980B1 (en) | 1999-06-11 | 2004-09-07 | Invensys Systems, Inc. | Methods and apparatus for control using control devices that provide a virtual machine environment and that communicate via an IP network |
US7454359B2 (en) | 1999-06-23 | 2008-11-18 | Visicu, Inc. | System and method for displaying a health status of hospitalized patients |
US6997852B2 (en) | 1999-07-08 | 2006-02-14 | Icon Ip, Inc. | Methods and systems for controlling an exercise apparatus using a portable remote device |
US6834386B1 (en) | 1999-07-16 | 2004-12-21 | Microsoft Corporation | Method and system for regulating background tasks using performance measurements |
US6771250B1 (en) | 1999-07-27 | 2004-08-03 | Samsung Electronics Co., Ltd. | Portable computer system having application program launcher for low power consumption and method of operating the same |
JP2001057695A (en) | 1999-08-18 | 2001-02-27 | Toshiba Video Products Japan Kk | Integrated headphone system |
US7145461B2 (en) | 2001-01-31 | 2006-12-05 | Ilife Solutions, Inc. | System and method for analyzing activity of a body |
WO2001028416A1 (en) | 1999-09-24 | 2001-04-26 | Healthetech, Inc. | Physiological monitor and associated computation, display and communication unit |
US6478736B1 (en) | 1999-10-08 | 2002-11-12 | Healthetech, Inc. | Integrated calorie management system |
US6282496B1 (en) | 1999-10-29 | 2001-08-28 | Visteon Technologies, Llc | Method and apparatus for inertial guidance for an automobile navigation system |
US6466198B1 (en) | 1999-11-05 | 2002-10-15 | Innoventions, Inc. | View navigation and magnification of a hand-held device with a display |
US6736759B1 (en) | 1999-11-09 | 2004-05-18 | Paragon Solutions, Llc | Exercise monitoring system and methods |
GB2358108A (en) | 1999-11-29 | 2001-07-11 | Nokia Mobile Phones Ltd | Controlling a hand-held communication device |
US6721738B2 (en) | 2000-02-01 | 2004-04-13 | Gaveo Technology, Llc. | Motion password control system |
FR2804596B1 (en) | 2000-02-04 | 2002-10-04 | Agronomique Inst Nat Rech | METHOD FOR THE ANALYSIS OF HUMAN LOCOMOTION IRREGULARITIES |
US7149964B1 (en) | 2000-02-09 | 2006-12-12 | Microsoft Corporation | Creation and delivery of customized content |
US6665802B1 (en) | 2000-02-29 | 2003-12-16 | Infineon Technologies North America Corp. | Power management and control for a microcontroller |
JP2001269431A (en) | 2000-03-24 | 2001-10-02 | Yamaha Corp | Body movement state-evaluating device |
US7155507B2 (en) | 2000-03-25 | 2006-12-26 | Nippon Telegraph And Telephone Corporation | Method and system for providing environmental information on network |
US20020042830A1 (en) | 2000-03-31 | 2002-04-11 | Subhra Bose | System, method and applications real-time messaging over HTTP-based protocols |
US6470147B2 (en) | 2000-04-06 | 2002-10-22 | Canon Kabushiki Kaisha | Image blur correction apparatus and image pickup apparatus with the image blur correction apparatus |
US6622115B1 (en) | 2000-04-28 | 2003-09-16 | International Business Machines Corporation | Managing an environment according to environmental preferences retrieved from a personal storage device |
US6601016B1 (en) | 2000-04-28 | 2003-07-29 | International Business Machines Corporation | Monitoring fitness activity across diverse exercise machines utilizing a universally accessible server system |
US6522266B1 (en) | 2000-05-17 | 2003-02-18 | Honeywell, Inc. | Navigation system, method and software for foot travel |
EP1284642A4 (en) | 2000-05-25 | 2005-03-09 | Healthetech Inc | Physiological monitoring using wrist-mounted device |
US6807564B1 (en) | 2000-06-02 | 2004-10-19 | Bellsouth Intellectual Property Corporation | Panic button IP device |
US20040078220A1 (en) | 2001-06-14 | 2004-04-22 | Jackson Becky L. | System and method for collection, distribution, and use of information in connection with health care delivery |
EP1294441A2 (en) | 2000-06-14 | 2003-03-26 | Medtronic, Inc. | Deep computing applications in medical device systems |
US8398546B2 (en) | 2000-06-16 | 2013-03-19 | Bodymedia, Inc. | System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability |
US7689437B1 (en) | 2000-06-16 | 2010-03-30 | Bodymedia, Inc. | System for monitoring health, wellness and fitness |
AU2001272980A1 (en) | 2000-06-23 | 2002-01-08 | Sportvision, Inc. | Gps based tracking system |
US6847892B2 (en) | 2001-10-29 | 2005-01-25 | Digital Angel Corporation | System for localizing and sensing objects and providing alerts |
KR100367594B1 (en) | 2000-07-06 | 2003-01-10 | 엘지전자 주식회사 | Controlling method for charge coupled device camera |
US7148879B2 (en) | 2000-07-06 | 2006-12-12 | At&T Corp. | Bioacoustic control system, method and apparatus |
US6836744B1 (en) | 2000-08-18 | 2004-12-28 | Fareid A. Asphahani | Portable system for analyzing human gait |
EP1410198A2 (en) | 2000-08-22 | 2004-04-21 | Symbian Limited | A method of enabling a wireless information device to access data services |
US20070037610A1 (en) | 2000-08-29 | 2007-02-15 | Logan James D | Methods and apparatus for conserving battery power in a cellular or portable telephone |
US20070037605A1 (en) * | 2000-08-29 | 2007-02-15 | Logan James D | Methods and apparatus for controlling cellular and portable phones |
US7149798B2 (en) | 2000-09-06 | 2006-12-12 | Xanboo, Inc. | Method and system for adaptively setting a data refresh interval |
US20020047867A1 (en) | 2000-09-07 | 2002-04-25 | Mault James R | Image based diet logging |
JP3560149B2 (en) | 2000-09-12 | 2004-09-02 | 日本電気株式会社 | Mobile phone, GPS, Bluetooth integrated composite terminal and control method therefor |
US6529144B1 (en) | 2000-09-22 | 2003-03-04 | Motorola Inc. | Method and apparatus for motion activated control of an electronic device |
JP2002099014A (en) | 2000-09-22 | 2002-04-05 | Nikon Corp | Signal predicting apparatus and camera provided with the same |
US7688306B2 (en) | 2000-10-02 | 2010-03-30 | Apple Inc. | Methods and apparatuses for operating a portable device based on an accelerometer |
US6895425B1 (en) | 2000-10-06 | 2005-05-17 | Microsoft Corporation | Using an expert proxy server as an agent for wireless devices |
JP3543778B2 (en) | 2000-10-16 | 2004-07-21 | オムロンヘルスケア株式会社 | Pedometer |
WO2002047465A2 (en) | 2000-10-26 | 2002-06-20 | Healthetech, Inc. | Body supported activity and condition monitor |
GB0028491D0 (en) | 2000-11-22 | 2001-01-10 | Isis Innovation | Detection of features in images |
US7171331B2 (en) | 2001-12-17 | 2007-01-30 | Phatrat Technology, Llc | Shoes employing monitoring devices, and associated methods |
EP1344092A2 (en) | 2000-12-15 | 2003-09-17 | Daniel Rosenfeld | Location-based weather nowcast system and method |
US20020122543A1 (en) | 2001-02-12 | 2002-09-05 | Rowen Chris E. | System and method of indexing unique electronic mail messages and uses for the same |
WO2002064205A2 (en) | 2001-02-13 | 2002-08-22 | Quetzal Biomedical, Inc. | Multi-electrode apparatus and method for treatment of congestive heart failure |
KR100397779B1 (en) | 2001-02-16 | 2003-09-13 | 주식회사 현원 | A pulsimeter having a function of radio receiver and digital music player and method thereof |
EP1366712A4 (en) | 2001-03-06 | 2006-05-31 | Microstone Co Ltd | Body motion detector |
US6672991B2 (en) | 2001-03-28 | 2004-01-06 | O'malley Sean M. | Guided instructional cardiovascular exercise with accompaniment |
US6595929B2 (en) | 2001-03-30 | 2003-07-22 | Bodymedia, Inc. | System for monitoring health, wellness and fitness having a method and apparatus for improved measurement of heat flow |
US20020183971A1 (en) | 2001-04-10 | 2002-12-05 | Wegerich Stephan W. | Diagnostic systems and methods for predictive condition monitoring |
US20020151810A1 (en) | 2001-04-16 | 2002-10-17 | Acumen, Inc. | Wrist-based fitness monitoring devices |
US6826477B2 (en) | 2001-04-23 | 2004-11-30 | Ecole Polytechnique Federale De Lausanne (Epfl) | Pedestrian navigation method and apparatus operative in a dead reckoning mode |
AUPR464601A0 (en) | 2001-04-30 | 2001-05-24 | Commonwealth Of Australia, The | Shapes vector |
US6714778B2 (en) | 2001-05-15 | 2004-03-30 | Nokia Corporation | Context sensitive web services |
US7245725B1 (en) * | 2001-05-17 | 2007-07-17 | Cypress Semiconductor Corp. | Dual processor framer |
FR2825226B1 (en) | 2001-05-25 | 2008-02-01 | Fabien Beckers | METHOD AND SYSTEM FOR PROVIDING INFORMATION RELATING TO THE POSITION OCCUPIED BY A USER IN A SITE |
US6987530B2 (en) | 2001-05-29 | 2006-01-17 | Hewlett-Packard Development Company, L.P. | Method for reducing motion blur in a digital image |
CA2349828A1 (en) | 2001-06-06 | 2002-12-06 | Andrew M. Zador | Method, apparatus, and system for extracting denoised, high-resolution images, texture, and velocity from a lower-resolution, noisy detector |
FI110549B (en) | 2001-06-29 | 2003-02-14 | Nokia Corp | Method and arrangement for determining motion |
US20030208113A1 (en) | 2001-07-18 | 2003-11-06 | Mault James R | Closed loop glycemic index system |
US7536691B2 (en) | 2001-08-09 | 2009-05-19 | Infineon Technologies Ag | Method and apparatus for software-based allocation and scheduling of hardware resources in a wireless communication device |
US7736272B2 (en) | 2001-08-21 | 2010-06-15 | Pantometrics, Ltd. | Exercise system with graphical feedback and method of gauging fitness progress |
JP4738672B2 (en) | 2001-09-03 | 2011-08-03 | キヤノン株式会社 | Camera with image stabilization function |
US6965816B2 (en) | 2001-10-01 | 2005-11-15 | Kline & Walker, Llc | PFN/TRAC system FAA upgrades for accountable remote and robotics control to stop the unauthorized use of aircraft and to improve equipment management and public safety in transportation |
JP4037086B2 (en) | 2001-10-31 | 2008-01-23 | 株式会社エヌ・ティ・ティ・ドコモ | Command input device |
US20030101260A1 (en) | 2001-11-29 | 2003-05-29 | International Business Machines Corporation | Method, computer program element and system for processing alarms triggered by a monitoring system |
US20050101841A9 (en) | 2001-12-04 | 2005-05-12 | Kimberly-Clark Worldwide, Inc. | Healthcare networks with biosensors |
US7396000B2 (en) | 2001-12-04 | 2008-07-08 | Arichell Technologies Inc | Passive sensors for automatic faucets and bathroom flushers |
US7002553B2 (en) | 2001-12-27 | 2006-02-21 | Mark Shkolnikov | Active keyboard system for handheld electronic devices |
US7523040B2 (en) | 2002-02-01 | 2009-04-21 | Weight Watchers International, Inc. | Software and hardware system for enabling weight control |
US7271830B2 (en) | 2002-02-11 | 2007-09-18 | Hewlett-Packard Development Company, L.P. | Motion detection in an image capturing device |
US20040122294A1 (en) | 2002-12-18 | 2004-06-24 | John Hatlestad | Advanced patient management with environmental data |
US8043213B2 (en) | 2002-12-18 | 2011-10-25 | Cardiac Pacemakers, Inc. | Advanced patient management for triaging health-related data using color codes |
US20040122296A1 (en) | 2002-12-18 | 2004-06-24 | John Hatlestad | Advanced patient management for triaging health-related data |
US7468032B2 (en) | 2002-12-18 | 2008-12-23 | Cardiac Pacemakers, Inc. | Advanced patient management for identifying, displaying and assisting with correlating health-related data |
US20040122487A1 (en) | 2002-12-18 | 2004-06-24 | John Hatlestad | Advanced patient management with composite parameter indices |
US7983759B2 (en) | 2002-12-18 | 2011-07-19 | Cardiac Pacemakers, Inc. | Advanced patient management for reporting multiple health-related parameters |
US20040122486A1 (en) | 2002-12-18 | 2004-06-24 | Stahmann Jeffrey E. | Advanced patient management for acquiring, trending and displaying health-related parameters |
US8391989B2 (en) | 2002-12-18 | 2013-03-05 | Cardiac Pacemakers, Inc. | Advanced patient management for defining, identifying and using predetermined health-related events |
US7204425B2 (en) | 2002-03-18 | 2007-04-17 | Precision Dynamics Corporation | Enhanced identification appliance |
US20040148340A1 (en) | 2003-01-29 | 2004-07-29 | Web.De Ag | Web site having a zone layout |
US20050182824A1 (en) | 2002-04-30 | 2005-08-18 | Pierre-Alain Cotte | Communications web site |
US20040148351A1 (en) | 2003-01-29 | 2004-07-29 | Web.De Ag | Communications web site |
US20040148341A1 (en) | 2003-01-29 | 2004-07-29 | Web.De Ag | Web site having an individual event settings element |
US20040148342A1 (en) | 2003-01-29 | 2004-07-29 | Web.De Ag | Web site having an event creation element |
US20040146048A1 (en) | 2003-01-29 | 2004-07-29 | Web.De Ag | Web site having a caller recognition element |
US6810207B2 (en) | 2002-05-13 | 2004-10-26 | Olympus Corporation | Camera |
US20030227487A1 (en) | 2002-06-01 | 2003-12-11 | Hugh Harlan M. | Method and apparatus for creating and accessing associative data structures under a shared model of categories, rules, triggers and data relationship permissions |
US6992580B2 (en) | 2002-07-25 | 2006-01-31 | Motorola, Inc. | Portable communication device and corresponding method of operation |
US6813582B2 (en) | 2002-07-31 | 2004-11-02 | Point Research Corporation | Navigation device for personnel on foot |
US8460103B2 (en) | 2004-06-18 | 2013-06-11 | Igt | Gesture controlled casino gaming system |
FI20025039A0 (en) | 2002-08-16 | 2002-08-16 | Joni Kettunen | Method II for analyzing a physiological signal |
US7450963B2 (en) | 2002-08-27 | 2008-11-11 | Qualcomm Incorporated | Low power dual processor architecture for multi mode devices |
US6972677B2 (en) | 2002-08-27 | 2005-12-06 | Coulthard John J | Monitoring system |
US7171222B2 (en) | 2002-09-30 | 2007-01-30 | Comverse, Ltd. | Multimedia messaging method and system for transferring multimedia content |
GB2394294A (en) | 2002-10-18 | 2004-04-21 | Cambridge Neurotechnology Ltd | Cardiac sensor with accelerometer |
JP2004179835A (en) | 2002-11-26 | 2004-06-24 | Fujitsu Ltd | Communication equipment |
US6975959B2 (en) | 2002-12-03 | 2005-12-13 | Robert Bosch Gmbh | Orientation and navigation for a mobile device using inertial sensors |
FI113614B (en) | 2002-12-18 | 2004-05-31 | Polar Electro Oy | Setting the heart rate limit in a heart rate monitor |
US20040125073A1 (en) | 2002-12-30 | 2004-07-01 | Scott Potter | Portable electronic apparatus and method employing motion sensor for function control |
US20050015768A1 (en) | 2002-12-31 | 2005-01-20 | Moore Mark Justin | System and method for providing hardware-assisted task scheduling |
US7212230B2 (en) | 2003-01-08 | 2007-05-01 | Hewlett-Packard Development Company, L.P. | Digital camera having a motion tracking subsystem responsive to input control for tracking motion of the digital camera |
US20040176067A1 (en) | 2003-01-30 | 2004-09-09 | Shailesh Lakhani | Method and system for Short Message Service (SMS) rating and billing |
JP3906168B2 (en) * | 2003-02-28 | 2007-04-18 | 株式会社東芝 | Electronic device and system control method for the same |
JP3801163B2 (en) | 2003-03-07 | 2006-07-26 | セイコーエプソン株式会社 | Body motion detection device, pitch meter, pedometer, wristwatch type information processing device, control method, and control program |
KR100518832B1 (en) | 2003-03-18 | 2005-10-05 | 삼성전자주식회사 | a input system based on three dimensional Inertial Navigation System and method for trajectory estimation thereof |
US20070165790A1 (en) | 2003-03-19 | 2007-07-19 | Rakesh Taori | A system and method for controlling and accessing multimedia messages |
US7894177B2 (en) | 2005-12-29 | 2011-02-22 | Apple Inc. | Light activated hold switch |
US7387611B2 (en) | 2003-04-10 | 2008-06-17 | Matsushita Electric Industrial Co., Ltd. | Physical movement analyzer and physical movement analyzing method |
US7255437B2 (en) | 2003-10-09 | 2007-08-14 | Howell Thomas A | Eyeglasses with activity monitoring |
US20040242202A1 (en) | 2003-05-12 | 2004-12-02 | Marko Torvinen | System, apparatus, and method for automated handling of messages in terminals |
US20040247030A1 (en) | 2003-06-09 | 2004-12-09 | Andre Wiethoff | Method for transcoding an MPEG-2 video stream to a new bitrate |
US7289761B2 (en) | 2003-06-23 | 2007-10-30 | Cardiac Pacemakers, Inc. | Systems, devices, and methods for selectively preventing data transfer from a medical device |
US20050004811A1 (en) | 2003-07-02 | 2005-01-06 | Babu Suresh Rangaswamy | Automated recall management system for enterprise management applications |
US7177684B1 (en) | 2003-07-03 | 2007-02-13 | Pacesetter, Inc. | Activity monitor and six-minute walk test for depression and CHF patients |
AU2004255366B2 (en) | 2003-07-14 | 2009-06-25 | Fusion Sport International Pty Ltd | Sports training and testing methods, apparatus and system |
KR100526535B1 (en) | 2003-07-22 | 2005-11-08 | 삼성전자주식회사 | Apparatus and method for measuring speed of land vehicle using accelerometer |
WO2005013174A2 (en) | 2003-07-28 | 2005-02-10 | Bergantino Paul V | Method and apparatus for managing a user’s health |
US20050027567A1 (en) | 2003-07-29 | 2005-02-03 | Taha Amer Jamil | System and method for health care data collection and management |
US20050033200A1 (en) | 2003-08-05 | 2005-02-10 | Soehren Wayne A. | Human motion identification and measurement system and method |
DE60326340D1 (en) | 2003-08-08 | 2009-04-09 | Harman Becker Automotive Sys | Method and system for issuing traffic data to a vehicle driver |
US20050048945A1 (en) | 2003-08-27 | 2005-03-03 | Robert Porter | Emergency call system and method |
US20050048955A1 (en) | 2003-09-03 | 2005-03-03 | Steffen Ring | Method and apparatus for initiating a call from a communication device |
JP5174348B2 (en) | 2003-09-12 | 2013-04-03 | ボディーメディア インコーポレイテッド | Method and apparatus for monitoring heart related condition parameters |
US6823036B1 (en) | 2003-09-24 | 2004-11-23 | Yu-Yu Chen | Wristwatch-typed pedometer with wireless heartbeat signal receiving device |
US7546127B2 (en) | 2003-09-26 | 2009-06-09 | Siemens Communications, Inc. | System and method for centrally-hosted presence reporting |
US7352390B2 (en) | 2003-10-08 | 2008-04-01 | Hewlett-Packard Development Company, L.P. | Digital camera for capturing image data with rapid response between activating a capture trigger and capturing image data |
FR2860700B1 (en) | 2003-10-10 | 2005-12-09 | Commissariat Energie Atomique | CROWN CONTROL DEVICE |
CA2444834A1 (en) | 2003-10-10 | 2005-04-10 | N-Able Technologies Inc. | Multi-network monitoring architecture |
US7457872B2 (en) | 2003-10-15 | 2008-11-25 | Microsoft Corporation | On-line service/application monitoring and reporting system |
US7379999B1 (en) | 2003-10-15 | 2008-05-27 | Microsoft Corporation | On-line service/application monitoring and reporting system |
US20050102167A1 (en) | 2003-11-12 | 2005-05-12 | Kapoor Ashok K. | Provisioning and controlling medical instruments using wireless data communication |
GB0326387D0 (en) | 2003-11-12 | 2003-12-17 | Nokia Corp | Fitness coach |
WO2005053207A2 (en) | 2003-11-21 | 2005-06-09 | Facio Software, Inc. | System and method for group messaging and content distribution in short message service |
US7664657B1 (en) | 2003-11-25 | 2010-02-16 | Vocollect Healthcare Systems, Inc. | Healthcare communications and documentation system |
US7652685B2 (en) | 2004-09-13 | 2010-01-26 | Omnivision Cdm Optics, Inc. | Iris image capture devices and associated systems |
US20050125797A1 (en) | 2003-12-09 | 2005-06-09 | International Business Machines Corporation | Resource management for a system-on-chip (SoC) |
US8589174B2 (en) | 2003-12-16 | 2013-11-19 | Adventium Enterprises | Activity monitoring |
US7649895B2 (en) | 2003-12-30 | 2010-01-19 | Airwide Solutions Inc. | Apparatus and method for routing multimedia messages between a user agent and multiple multimedia message service centers |
US20050146431A1 (en) | 2003-12-31 | 2005-07-07 | Ge Medical Systems Information Technologies, Inc. | Alarm notification system, receiver, and methods for providing live data |
US20050165719A1 (en) | 2004-01-27 | 2005-07-28 | Omenti Research, Llc | Method and system for establishing and maintaining concurrent, coordinated communications on separately managed networks |
FI117308B (en) | 2004-02-06 | 2006-08-31 | Nokia Corp | gesture Control |
JP3816497B2 (en) | 2004-02-13 | 2006-08-30 | 株式会社東芝 | Information processing device |
US7096619B2 (en) | 2004-02-17 | 2006-08-29 | Jackson Charles L | Equipment operator personalization device |
EP1715926B1 (en) | 2004-02-19 | 2017-11-29 | Koninklijke Philips N.V. | Audio interval training device |
CN1921913A (en) | 2004-02-19 | 2007-02-28 | 皇家飞利浦电子股份有限公司 | Audio pacing device |
US20060154642A1 (en) | 2004-02-20 | 2006-07-13 | Scannell Robert F Jr | Medication & health, environmental, and security monitoring, alert, intervention, information and network system with associated and supporting apparatuses |
US8886298B2 (en) | 2004-03-01 | 2014-11-11 | Microsoft Corporation | Recall device |
EP1723497A2 (en) | 2004-03-12 | 2006-11-22 | Vectronix AG | Apparatus and method of determining 3d pedestrian motion by using projection planes |
US7640211B2 (en) | 2004-03-12 | 2009-12-29 | Sybase 365, Inc. | System and method for billing augmentation |
KR101041441B1 (en) * | 2004-03-17 | 2011-06-15 | 엘지전자 주식회사 | Power Consumption Control System in PDA And Power Consumption Control Method |
US7301528B2 (en) | 2004-03-23 | 2007-11-27 | Fujitsu Limited | Distinguishing tilt and translation motion components in handheld devices |
US7173604B2 (en) | 2004-03-23 | 2007-02-06 | Fujitsu Limited | Gesture identification of controlled devices |
US7301529B2 (en) | 2004-03-23 | 2007-11-27 | Fujitsu Limited | Context dependent gesture response |
US7180501B2 (en) | 2004-03-23 | 2007-02-20 | Fujitsu Limited | Gesture based navigation of a handheld user interface |
US20050212760A1 (en) | 2004-03-23 | 2005-09-29 | Marvit David L | Gesture based user interface supporting preexisting symbols |
US7365736B2 (en) | 2004-03-23 | 2008-04-29 | Fujitsu Limited | Customizable gesture mappings for motion controlled handheld devices |
US7176886B2 (en) | 2004-03-23 | 2007-02-13 | Fujitsu Limited | Spatial signatures |
US7180500B2 (en) | 2004-03-23 | 2007-02-20 | Fujitsu Limited | User definable gestures for motion controlled handheld devices |
US7280096B2 (en) | 2004-03-23 | 2007-10-09 | Fujitsu Limited | Motion sensor engagement for a handheld device |
US7903084B2 (en) | 2004-03-23 | 2011-03-08 | Fujitsu Limited | Selective engagement of motion input modes |
US7180502B2 (en) | 2004-03-23 | 2007-02-20 | Fujitsu Limited | Handheld device with preferred motion selection |
US7301526B2 (en) | 2004-03-23 | 2007-11-27 | Fujitsu Limited | Dynamic adaptation of gestures for motion controlled handheld devices |
US7176887B2 (en) | 2004-03-23 | 2007-02-13 | Fujitsu Limited | Environmental modeling for motion controlled handheld devices |
US7176888B2 (en) | 2004-03-23 | 2007-02-13 | Fujitsu Limited | Selective engagement of motion detection |
US7365735B2 (en) | 2004-03-23 | 2008-04-29 | Fujitsu Limited | Translation controlled cursor |
US7301527B2 (en) | 2004-03-23 | 2007-11-27 | Fujitsu Limited | Feedback based user interface for motion controlled handheld devices |
US7365737B2 (en) | 2004-03-23 | 2008-04-29 | Fujitsu Limited | Non-uniform gesture precision |
JP2005292893A (en) | 2004-03-31 | 2005-10-20 | Nec Access Technica Ltd | Portable information terminal device |
US20050222801A1 (en) | 2004-04-06 | 2005-10-06 | Thomas Wulff | System and method for monitoring a mobile computing product/arrangement |
WO2005102449A1 (en) | 2004-04-14 | 2005-11-03 | Medtronic, Inc. | Collecting posture and activity information to evaluate therapy |
US20050232405A1 (en) * | 2004-04-15 | 2005-10-20 | Sharp Laboratories Of America, Inc. | Method and apparatus for determining a user presence state |
US20050262237A1 (en) | 2004-04-19 | 2005-11-24 | Netqos, Inc. | Dynamic incident tracking and investigation in service monitors |
JP4845345B2 (en) | 2004-04-20 | 2011-12-28 | セイコーインスツル株式会社 | Electronic pedometer |
JP4785348B2 (en) | 2004-04-20 | 2011-10-05 | セイコーインスツル株式会社 | Electronic pedometer |
JP4785349B2 (en) | 2004-04-20 | 2011-10-05 | セイコーインスツル株式会社 | Electronic pedometer |
TW200537901A (en) | 2004-04-22 | 2005-11-16 | Yuh-Swu Hwang | Method and apparatus enable mobile phone capable of exercise measuring and workout support |
US7057551B1 (en) | 2004-04-27 | 2006-06-06 | Garmin Ltd. | Electronic exercise monitor and method using a location determining component and a pedometer |
US20050258938A1 (en) | 2004-05-21 | 2005-11-24 | Moulson John L | Portable electronic devices including customization circuits for customizing alert signals and methods of operating the same |
US8684839B2 (en) | 2004-06-18 | 2014-04-01 | Igt | Control of wager-based game using gesture recognition |
US20050281289A1 (en) | 2004-06-21 | 2005-12-22 | Huang Jau H | System and method for embedding multimedia processing information in a multimedia bitstream |
FI119746B (en) | 2004-06-24 | 2009-02-27 | Nokia Corp | Control of an electronic device |
US20060009243A1 (en) | 2004-07-07 | 2006-01-12 | At&T Wireless Services, Inc. | Always-on mobile instant messaging of a messaging centric wireless device |
US7440809B2 (en) | 2004-07-14 | 2008-10-21 | York International Corporation | HTML driven embedded controller |
US7705884B2 (en) | 2004-07-21 | 2010-04-27 | Zoran Corporation | Processing of video data to compensate for unintended camera motion between acquired image frames |
US7148797B2 (en) | 2004-07-23 | 2006-12-12 | Innovalarm Corporation | Enhanced fire, safety, security and health monitoring and alarm response method, system and device |
KR100786703B1 (en) | 2004-07-24 | 2007-12-21 | 삼성전자주식회사 | Device and method for measuring physical exercise using acceleration sensor |
EP1624672A1 (en) | 2004-08-07 | 2006-02-08 | STMicroelectronics Limited | A method of determining a measure of edge strength and focus |
FI20045336A0 (en) | 2004-09-13 | 2004-09-13 | Valtion Teknillinen | A method for verifying / identifying a carrier of a personal device being carried |
US7277018B2 (en) | 2004-09-17 | 2007-10-02 | Incident Alert Systems, Llc | Computer-enabled, networked, facility emergency notification, management and alarm system |
TWI244310B (en) | 2004-09-23 | 2005-11-21 | Inventec Appliances Corp | Mobile phone having a step-counting function |
ATE356507T1 (en) | 2004-09-27 | 2007-03-15 | Ibm | SYSTEM AND METHOD FOR DYNAMIC PLANNING TASKS DEPENDENT ON THE POSITION OF A MOBILE USER |
JP2006118909A (en) | 2004-10-20 | 2006-05-11 | Matsushita Electric Works Ltd | Walking meter |
KR100727926B1 (en) * | 2004-10-23 | 2007-06-14 | 삼성전자주식회사 | Power management method in portable information device and power management apparatus |
US7788670B2 (en) * | 2004-10-26 | 2010-08-31 | Intel Corporation | Performance-based workload scheduling in multi-core architectures |
US7648441B2 (en) | 2004-11-10 | 2010-01-19 | Silk Jeffrey E | Self-contained real-time gait therapy device |
US7382611B2 (en) | 2004-11-12 | 2008-06-03 | Hewlett-Packard Development Company, L.P. | Connector protection system |
US7327245B2 (en) | 2004-11-22 | 2008-02-05 | Microsoft Corporation | Sensing and analysis of ambient contextual signals for discriminating between indoor and outdoor locations |
US7788071B2 (en) | 2004-12-03 | 2010-08-31 | Telekinesys Research Limited | Physics simulation apparatus and method |
US7834320B2 (en) | 2004-12-06 | 2010-11-16 | Bar-Giora Goldberg | Remote biological, chemical and explosive detector |
US7254516B2 (en) | 2004-12-17 | 2007-08-07 | Nike, Inc. | Multi-sensor monitoring of athletic performance |
US7580540B2 (en) | 2004-12-29 | 2009-08-25 | Motorola, Inc. | Apparatus and method for receiving inputs from a user |
US7216053B2 (en) | 2004-12-30 | 2007-05-08 | Nokia Corporation | Low power motion detector |
US8472915B2 (en) | 2005-01-14 | 2013-06-25 | Samantha DiPerna | Emergency personal protection system integrated with mobile devices |
US20060167387A1 (en) | 2005-01-27 | 2006-07-27 | Horst Buchholz | Physical activity monitor |
US7430439B2 (en) | 2005-01-31 | 2008-09-30 | Research In Motion Limited | User hand detection for wireless devices |
JP2006239398A (en) | 2005-02-03 | 2006-09-14 | Sony Corp | Sound reproducer, sound reproduction method and sound reproduction processing program |
CN101151073B (en) | 2005-02-03 | 2010-12-22 | 索尼株式会社 | Sound reproducer, sound reproduction method and sound reproduction program |
KR100571849B1 (en) | 2005-02-04 | 2006-04-17 | 삼성전자주식회사 | Method and apparatus for counting the number of times of walking of a walker |
US7627423B2 (en) | 2005-03-10 | 2009-12-01 | Wright Ventures, Llc | Route based on distance |
US20060204214A1 (en) | 2005-03-14 | 2006-09-14 | Microsoft Corporation | Picture line audio augmentation |
US7460869B2 (en) | 2005-03-14 | 2008-12-02 | Nokia Corporation | Adaptive handover measurement interval |
US20060223547A1 (en) | 2005-03-31 | 2006-10-05 | Microsoft Corporation | Environment sensitive notifications for mobile devices |
US7526402B2 (en) | 2005-04-19 | 2009-04-28 | Jaymart Sensors, Llc | Miniaturized inertial measurement unit and associated methods |
DE102005019924A1 (en) | 2005-04-27 | 2006-11-09 | Trium Analysis Online Gmbh | Activity measurement device e.g., for clinical medical research subjects, uses experimental sensors for detecting acceleration in all spatial directions |
KR100597798B1 (en) | 2005-05-12 | 2006-07-10 | 삼성전자주식회사 | Method for offering to user motion recognition information in portable terminal |
US7548659B2 (en) | 2005-05-13 | 2009-06-16 | Microsoft Corporation | Video enhancement |
KR100735192B1 (en) | 2005-05-19 | 2007-07-03 | 삼성전자주식회사 | Apparatus and method for changing mode between car navigation and personal navigation in navigation terminal |
US7672781B2 (en) | 2005-06-04 | 2010-03-02 | Microstrain, Inc. | Miniaturized wireless inertial sensing system |
JP5028751B2 (en) | 2005-06-09 | 2012-09-19 | ソニー株式会社 | Action recognition device |
US7424399B2 (en) | 2005-06-10 | 2008-09-09 | Ge Analytical Instruments, Inc. | Systems and methods for fluid quality sensing, data sharing and data visualization |
US8079079B2 (en) | 2005-06-29 | 2011-12-13 | Microsoft Corporation | Multimodal authentication |
US20070004451A1 (en) | 2005-06-30 | 2007-01-04 | C Anderson Eric | Controlling functions of a handheld multifunction device |
US7839279B2 (en) | 2005-07-29 | 2010-11-23 | Dp Technologies, Inc. | Monitor, alert, control, and share (MACS) system |
US8022989B2 (en) | 2005-08-17 | 2011-09-20 | Palo Alto Research Center Incorporated | Method and apparatus for controlling data delivery with user-maintained modes |
JP2007075172A (en) | 2005-09-12 | 2007-03-29 | Sony Corp | Sound output control device, method and program |
US20070063850A1 (en) | 2005-09-13 | 2007-03-22 | Devaul Richard W | Method and system for proactive telemonitor with real-time activity and physiology classification and diary feature |
KR100630156B1 (en) | 2005-09-16 | 2006-10-02 | 삼성전자주식회사 | Appratus and method for detecting step in personal navigation terminal |
US20070072581A1 (en) | 2005-09-29 | 2007-03-29 | Naveen Aerrabotu | Method and apparatus for marking of emergency image data |
US7633076B2 (en) | 2005-09-30 | 2009-12-15 | Apple Inc. | Automated response to and sensing of user activity in portable devices |
US8045727B2 (en) | 2005-09-30 | 2011-10-25 | Atmel Corporation | Headset power management |
US20070078324A1 (en) | 2005-09-30 | 2007-04-05 | Textronics, Inc. | Physiological Monitoring Wearable Having Three Electrodes |
DE602005014641D1 (en) | 2005-10-03 | 2009-07-09 | St Microelectronics Srl | Pedometer device and step detection method by algorithm for self-adaptive calculation of acceleration limits |
FI20055544L (en) | 2005-10-07 | 2007-04-08 | Polar Electro Oy | Procedures, performance meters and computer programs for determining performance |
US7586032B2 (en) | 2005-10-07 | 2009-09-08 | Outland Research, Llc | Shake responsive portable media player |
KR100690854B1 (en) | 2005-11-08 | 2007-03-09 | 엘지전자 주식회사 | Mobile terminal with multitasking and method for multitasking process thereof |
US20070104479A1 (en) | 2005-11-10 | 2007-05-10 | Akihiro Machida | Correcting photographs obtained by a handheld device |
US7606552B2 (en) | 2005-11-10 | 2009-10-20 | Research In Motion Limited | System and method for activating an electronic device |
US20070150136A1 (en) | 2005-11-30 | 2007-06-28 | Doll Kenneth A | Periodic rate sensor self test |
TWI316195B (en) | 2005-12-01 | 2009-10-21 | Ind Tech Res Inst | Input means for interactive devices |
US20070145680A1 (en) | 2005-12-15 | 2007-06-28 | Outland Research, Llc | Shake Responsive Portable Computing Device for Simulating a Randomization Object Used In a Game Of Chance |
US20070142715A1 (en) | 2005-12-20 | 2007-06-21 | Triage Wireless, Inc. | Chest strap for measuring vital signs |
US20070075127A1 (en) | 2005-12-21 | 2007-04-05 | Outland Research, Llc | Orientation-based power conservation for portable media devices |
US7489937B2 (en) | 2005-12-22 | 2009-02-10 | L-3 Communications Integrated Systems, L.P. | Method and apparatus for detecting emitter movement |
US20070161410A1 (en) | 2006-01-11 | 2007-07-12 | Inventec Corporation | Mobile phone capable of controlling keyboard lock and method therefor |
JP2007188398A (en) | 2006-01-16 | 2007-07-26 | Seiko Epson Corp | Multiprocessor system, and program for making computer execute control method of multiprocessor system |
US7667686B2 (en) | 2006-02-01 | 2010-02-23 | Memsic, Inc. | Air-writing and motion sensing input for portable devices |
JP4811046B2 (en) | 2006-02-17 | 2011-11-09 | ソニー株式会社 | Content playback apparatus, audio playback device, and content playback method |
JP2007219397A (en) | 2006-02-20 | 2007-08-30 | Pentax Corp | Image blur correcting device |
JP4356700B2 (en) | 2006-02-21 | 2009-11-04 | ソニー株式会社 | Playback device |
US20070195784A1 (en) | 2006-02-22 | 2007-08-23 | Motorola, Inc. | Power saving scheme for nodes that are out of range of a network |
US7467060B2 (en) | 2006-03-03 | 2008-12-16 | Garmin Ltd. | Method and apparatus for estimating a motion parameter |
WO2007105193A1 (en) | 2006-03-12 | 2007-09-20 | Nice Systems Ltd. | Apparatus and method for target oriented law enforcement interception and analysis |
US20070213085A1 (en) | 2006-03-13 | 2007-09-13 | Honeywell International Inc. | Method and system to correct for Doppler shift in moving nodes of a wireless network |
WO2007104330A1 (en) | 2006-03-15 | 2007-09-20 | Freescale Semiconductor, Inc. | Task scheduling method and apparatus |
KR100758632B1 (en) | 2006-03-29 | 2007-09-14 | 삼성전자주식회사 | Apparatus and method for taking panoramic photograph |
US8190689B2 (en) | 2006-03-31 | 2012-05-29 | At&T Intellectual Property I, L.P. | Selective attachment delivery |
KR101069566B1 (en) | 2006-04-07 | 2011-10-05 | 퀄컴 인코포레이티드 | Sensor interface, and methods and apparatus pertaining to same |
US7561960B2 (en) | 2006-04-20 | 2009-07-14 | Honeywell International Inc. | Motion classification methods for personal navigation |
US8152693B2 (en) | 2006-05-08 | 2012-04-10 | Nokia Corporation | Exercise data device, server, system and method |
US20070259685A1 (en) | 2006-05-08 | 2007-11-08 | Goran Engblom | Electronic equipment with keylock function using motion and method |
JP2007316721A (en) | 2006-05-23 | 2007-12-06 | Toshiba Corp | Mobile terminal |
US7608050B2 (en) | 2006-05-25 | 2009-10-27 | Telefonaktiebolaget Lm Ericsson (Publ) | Motion detector for a mobile device |
US20070281762A1 (en) | 2006-05-31 | 2007-12-06 | Motorola, Inc. | Signal routing to a communication accessory based on device activation |
US20070296696A1 (en) | 2006-06-21 | 2007-12-27 | Nokia Corporation | Gesture exchange |
US7280849B1 (en) | 2006-07-31 | 2007-10-09 | At & T Bls Intellectual Property, Inc. | Voice activated dialing for wireless headsets |
US8013895B2 (en) | 2006-08-07 | 2011-09-06 | Avago Technologies General Ip (Singapore) Pte. Ltd. | Optical motion sensing |
US20080046888A1 (en) | 2006-08-15 | 2008-02-21 | Appaji Anuradha K | Framework for Rule-Based Execution and Scheduling of Tasks in Mobile Devices |
US7844970B2 (en) | 2006-08-22 | 2010-11-30 | International Business Machines Corporation | Method and apparatus to control priority preemption of tasks |
US7892080B1 (en) | 2006-10-24 | 2011-02-22 | Fredrik Andreas Dahl | System and method for conducting a game including a computer-controlled player |
US7750799B2 (en) | 2006-11-01 | 2010-07-06 | International Business Machines Corporation | Enabling a person in distress to covertly communicate with an emergency response center |
US7840346B2 (en) | 2006-11-02 | 2010-11-23 | Nokia Corporation | Real time performance comparison |
US7822547B2 (en) | 2006-11-09 | 2010-10-26 | Nokia Corporation | Apparatus and method for enhancing the utilization of distance measuring devices |
US8112125B2 (en) * | 2006-11-10 | 2012-02-07 | At&T Intellectual Property I, Lp | Voice activated dialing for wireless headsets |
US7457719B1 (en) | 2006-11-21 | 2008-11-25 | Fullpower Technologies, Inc. | Rotational insensitivity using gravity-based adjustment |
US8082122B2 (en) | 2006-12-12 | 2011-12-20 | Samsung Electronics Co., Ltd. | Mobile device having a motion detector |
US7653508B1 (en) | 2006-12-22 | 2010-01-26 | Dp Technologies, Inc. | Human activity monitoring device |
US20080161072A1 (en) | 2006-12-29 | 2008-07-03 | David Alson Lide | Methods and apparatus to manage power consumption in wireless devices |
US7975242B2 (en) | 2007-01-07 | 2011-07-05 | Apple Inc. | Portable multifunction device, method, and graphical user interface for conference calling |
US7671756B2 (en) | 2007-01-07 | 2010-03-02 | Apple Inc. | Portable electronic device with alert silencing |
US20080319796A1 (en) | 2007-02-16 | 2008-12-25 | Stivoric John M | Medical applications of lifeotypes |
US8458715B1 (en) | 2007-02-23 | 2013-06-04 | Hrl Laboratories, Llc | System for allocating resources to optimize transition from a current state to a desired state |
US20080231714A1 (en) | 2007-03-22 | 2008-09-25 | Texas Instruments Incorporated | System and method for capturing images |
BRPI0808215A2 (en) | 2007-03-23 | 2014-07-01 | 3M Innovative Properties Co | "ELECTRONIC BIOSSENSOR AND ENERGY MANAGEMENT METHOD IN AN ELECTRONIC BIOSSENSOR" |
US7773118B2 (en) | 2007-03-25 | 2010-08-10 | Fotonation Vision Limited | Handheld article with movement discrimination |
JP4898514B2 (en) | 2007-03-26 | 2012-03-14 | セイコーインスツル株式会社 | Pedometer |
US7753861B1 (en) | 2007-04-04 | 2010-07-13 | Dp Technologies, Inc. | Chest strap having human activity monitoring device |
EP2149068B1 (en) | 2007-04-23 | 2021-06-09 | Huawei Technologies Co., Ltd. | Eyewear having human activity monitoring device |
US8004493B2 (en) | 2007-06-08 | 2011-08-23 | Apple Inc. | Methods and systems for providing sensory information to devices and peripherals |
US7774156B2 (en) | 2007-07-12 | 2010-08-10 | Polar Electro Oy | Portable apparatus for monitoring user speed and/or distance traveled |
US7752011B2 (en) | 2007-07-12 | 2010-07-06 | Polar Electro Oy | Portable apparatus for determining a user's physiological data with filtered speed data |
US20090017880A1 (en) | 2007-07-13 | 2009-01-15 | Joseph Kyle Moore | Electronic level application for portable communication device |
US8702430B2 (en) | 2007-08-17 | 2014-04-22 | Adidas International Marketing B.V. | Sports electronic training system, and applications thereof |
US7907836B2 (en) | 2007-09-12 | 2011-03-15 | Ricoh Company, Ltd. | Imaging apparatus |
US7907901B1 (en) | 2007-09-13 | 2011-03-15 | Dp Technologies, Inc. | Method and apparatus to enable pairing of devices |
US20090082994A1 (en) | 2007-09-25 | 2009-03-26 | Motorola, Inc. | Headset With Integrated Pedometer and Corresponding Method |
US8942764B2 (en) | 2007-10-01 | 2015-01-27 | Apple Inc. | Personal media device controlled via user initiated movements utilizing movement based interfaces |
US8467804B2 (en) | 2007-10-16 | 2013-06-18 | Sony Corporation | Mobile terminals and methods for regulating power-on/off of a GPS positioning circuit |
US20090124348A1 (en) | 2007-11-09 | 2009-05-14 | Yoseloff Mark L | Electronic dice control in gaming |
ATE512624T1 (en) | 2007-11-14 | 2011-07-15 | Zebris Medical Gmbh | ARRANGEMENT FOR GAIT ANALYSIS |
US8072393B2 (en) * | 2007-11-15 | 2011-12-06 | Symbol Technologies, Inc. | User interface for a head mounted display |
US8040382B2 (en) | 2008-01-07 | 2011-10-18 | Dp Technologies, Inc. | Method and apparatus for improving photo image quality |
US20090215502A1 (en) * | 2008-02-21 | 2009-08-27 | Griffin Jr Paul P | Wireless headset with record function |
US8179321B2 (en) | 2008-02-25 | 2012-05-15 | Xora, Inc. | Context sensitive mobile device utilization tracking |
US8320578B2 (en) * | 2008-04-30 | 2012-11-27 | Dp Technologies, Inc. | Headset |
US20090296951A1 (en) * | 2008-05-30 | 2009-12-03 | Sony Ericsson Mobile Communications Ab | Tap volume control for buttonless headset |
US8996332B2 (en) | 2008-06-24 | 2015-03-31 | Dp Technologies, Inc. | Program setting adjustments based on activity identification |
US10729973B2 (en) * | 2008-06-30 | 2020-08-04 | Microsoft Technology Licensing, Llc | Dynamic selection of sensor sensitivity in a game input system |
US8187182B2 (en) | 2008-08-29 | 2012-05-29 | Dp Technologies, Inc. | Sensor fusion for activity identification |
US8502704B2 (en) * | 2009-03-31 | 2013-08-06 | Intel Corporation | Method, apparatus, and system of stabilizing a mobile gesture user-interface |
CA2760158C (en) | 2009-04-26 | 2016-08-02 | Nike International Ltd. | Gps features and functionality in an athletic watch system |
US8253746B2 (en) * | 2009-05-01 | 2012-08-28 | Microsoft Corporation | Determine intended motions |
US8212788B2 (en) * | 2009-05-07 | 2012-07-03 | Microsoft Corporation | Touch input to modulate changeable parameter |
-
2009
- 2009-05-26 US US12/472,361 patent/US9529437B2/en active Active
-
2010
- 2010-05-25 EP EP10781099.6A patent/EP2436196B1/en not_active Not-in-force
- 2010-05-25 WO PCT/US2010/036091 patent/WO2010138520A1/en active Application Filing
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7010332B1 (en) * | 2000-02-21 | 2006-03-07 | Telefonaktiebolaget Lm Ericsson(Publ) | Wireless headset with automatic power control |
US20050212753A1 (en) * | 2004-03-23 | 2005-09-29 | Marvit David L | Motion controlled remote controller |
US20050232404A1 (en) * | 2004-04-15 | 2005-10-20 | Sharp Laboratories Of America, Inc. | Method of determining a user presence state |
US20060167943A1 (en) * | 2005-01-27 | 2006-07-27 | Outland Research, L.L.C. | System, method and computer program product for rejecting or deferring the playing of a media file retrieved by an automated process |
GB2431813A (en) | 2005-10-28 | 2007-05-02 | Eleanor Johnson | Headphone audio system automatically switched ON/OFF by motion |
US20090043531A1 (en) * | 2007-08-08 | 2009-02-12 | Philippe Kahn | Human activity monitoring device with distance calculation |
US20090290718A1 (en) | 2008-05-21 | 2009-11-26 | Philippe Kahn | Method and Apparatus for Adjusting Audio for a User Environment |
Non-Patent Citations (1)
Title |
---|
See also references of EP2436196A4 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2483493A (en) * | 2010-09-10 | 2012-03-14 | Cambridge Silicon Radio Ltd | Headset ear detection that controls alerting signals so as to be less noticeable if the device is in proximity to the user's ear |
GB2483493B (en) * | 2010-09-10 | 2018-07-18 | Qualcomm Technologies Int Ltd | Headset ear detection |
Also Published As
Publication number | Publication date |
---|---|
EP2436196B1 (en) | 2015-08-26 |
EP2436196A1 (en) | 2012-04-04 |
EP2436196A4 (en) | 2012-12-05 |
US20100306711A1 (en) | 2010-12-02 |
US9529437B2 (en) | 2016-12-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2436196B1 (en) | Method and apparatus for a motion state aware headset | |
EP2277301B1 (en) | An improved headset | |
US10015836B2 (en) | Master device for using connection attribute of electronic accessories connections to facilitate locating an accessory | |
US9113239B2 (en) | Electronic device and method for selecting microphone by detecting voice signal strength | |
TW201510740A (en) | Method and system for communicatively coupling a wearable computer with one or more non-wearable computers | |
MXPA06011372A (en) | Sensor screen saver. | |
WO2014143959A2 (en) | Volume control for mobile device using a wireless device | |
WO2016165308A1 (en) | System adjustment method and apparatus based on user state | |
US11310594B2 (en) | Portable smart speaker power control | |
US20160299483A1 (en) | Method for controlling terminal device, and wearable electronic device | |
CN107005821A (en) | Method, apparatus and system for the operator scheme that sets the communicator in communication network | |
WO2016179809A1 (en) | Method and terminal for processing communication event | |
EP3255810B1 (en) | Wearable device | |
CN110012148A (en) | A kind of bracelet control method, bracelet and computer readable storage medium | |
WO2023001195A1 (en) | Smart glasses and control method therefor, and system | |
CN105763975A (en) | Intelligent earphone device | |
CN210843015U (en) | Novel bluetooth headset | |
US11483658B1 (en) | In-ear detection of wearable devices | |
TWI661808B (en) | Physiological detection system, method and wearable device | |
JP2003018251A (en) | Wireless head set system | |
TW201704949A (en) | Mobile device and control method thereof | |
CN114967897A (en) | Power consumption optimization method and device and mobile terminal |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 10781099 Country of ref document: EP Kind code of ref document: A1 |
|
DPE2 | Request for preliminary examination filed before expiration of 19th month from priority date (pct application filed from 20040101) | ||
WWE | Wipo information: entry into national phase |
Ref document number: 2010781099 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: DE |