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.
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:
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.
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.
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.
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.
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.
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.
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.
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.”
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. 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.
In one embodiment, a user may define custom gesture commands using training logic 330. 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).
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.
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 Ser. 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. 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.
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.
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 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.
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.
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.
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.
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.
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.
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.).
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.”
At block 520, the process determines whether the command has motion context. If so, at block 530, the process obtains the motion context.
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.
At block 560, the correct version actions associated with the received command is executed. The process then ends.
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.
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.
At block 640, the new motion context is obtained. Note that the motion context describes the user's/device's current state.
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.
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.
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.
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.”
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.
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.
Once the devices are in power save mode, the process monitors to see if motion is detected, at block 735. 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.
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.
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 block 765. When the process determines that the actions are completed, the process returns to block 715 to continue monitoring motions.
If at block 745, the high power processor was found to be unnecessary, at block 750 the LPP is used to perform the relevant operations. The process then returns to block 715 to continue monitoring.
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.
Number | Name | Date | Kind |
---|---|---|---|
4285041 | Smith | Aug 1981 | A |
4571680 | Wu | Feb 1986 | A |
4578769 | Frederick | Mar 1986 | A |
4700369 | Seigal et al. | Oct 1987 | A |
4776323 | Spector | Oct 1988 | A |
5313060 | Gast et al. | May 1994 | A |
5386210 | Lee | Jan 1995 | A |
5430480 | Allen et al. | Jul 1995 | A |
5446725 | Ishiwatari | Aug 1995 | A |
5446775 | Wright et al. | Aug 1995 | A |
5454114 | Yach et al. | Sep 1995 | A |
5485402 | Smith et al. | Jan 1996 | A |
5506987 | Abramson et al. | Apr 1996 | A |
5515419 | Sheffer | May 1996 | A |
5583776 | Levi et al. | Dec 1996 | A |
5593431 | Sheldon | Jan 1997 | A |
5654619 | Iwashita | Aug 1997 | A |
5703786 | Conkright | Dec 1997 | A |
5737439 | Lapsley et al. | Apr 1998 | A |
5771001 | Cobb | Jun 1998 | A |
5778882 | Raymond et al. | Jul 1998 | A |
5911065 | Williams et al. | Jun 1999 | A |
5955667 | Fyfe | Sep 1999 | A |
5955871 | Nguyen | Sep 1999 | A |
5960085 | de la Huerga | Sep 1999 | A |
5976083 | Richardson et al. | Nov 1999 | A |
6013007 | Root et al. | Jan 2000 | A |
6061456 | Andrea et al. | May 2000 | A |
6122595 | Varley et al. | Sep 2000 | A |
6129686 | Friedman | Oct 2000 | A |
6135951 | Richardson et al. | Oct 2000 | A |
6145389 | Ebeling et al. | Nov 2000 | A |
6246321 | Rechsteiner et al. | Jun 2001 | B1 |
6282496 | Chowdhary | Aug 2001 | B1 |
6336891 | Fedrigon et al. | Jan 2002 | B1 |
6353449 | Gregg et al. | Mar 2002 | B1 |
6369794 | Sakurai et al. | Apr 2002 | B1 |
6396883 | Yang et al. | May 2002 | B2 |
6408330 | de la Huerga | Jun 2002 | B1 |
6428490 | Kramer et al. | Aug 2002 | B1 |
6470147 | Imada | Oct 2002 | B1 |
6478736 | Mault | Nov 2002 | B1 |
6493652 | Ohlenbusch et al. | Dec 2002 | B1 |
6496695 | Kouji et al. | Dec 2002 | B1 |
6513381 | Fyfe et al. | Feb 2003 | B2 |
6522266 | Soehren et al. | Feb 2003 | B1 |
6529144 | Nilsen | Mar 2003 | B1 |
6532419 | Begin et al. | Mar 2003 | B1 |
6539336 | Vock et al. | Mar 2003 | B1 |
6595929 | Stivoric et al. | Jul 2003 | B2 |
6601016 | Brown et al. | Jul 2003 | B1 |
6607493 | Song | Aug 2003 | B2 |
6611789 | Darley | Aug 2003 | B1 |
6628898 | Endo | Sep 2003 | B2 |
6634992 | Ogawa | Oct 2003 | B1 |
6665802 | Ober | Dec 2003 | B1 |
6672991 | O'Malley | Jan 2004 | B2 |
6685480 | Nishimoto et al. | Feb 2004 | B2 |
6700499 | Kubo et al. | Mar 2004 | B2 |
6731958 | Shirai | May 2004 | B1 |
6766176 | Gupta et al. | Jul 2004 | B1 |
6771250 | Oh | Aug 2004 | B1 |
6786877 | Foxlin | Sep 2004 | B2 |
6788980 | Johnson | Sep 2004 | B1 |
6790178 | Mault et al. | Sep 2004 | B1 |
6807564 | Zellner et al. | Oct 2004 | B1 |
6813582 | Levi et al. | Nov 2004 | B2 |
6823036 | Chen | Nov 2004 | B1 |
6826477 | Ladetto et al. | Nov 2004 | B2 |
6836744 | Asphahani et al. | Dec 2004 | B1 |
6881191 | Oakley et al. | Apr 2005 | B2 |
6885971 | Vock et al. | Apr 2005 | B2 |
6895425 | Kadyk et al. | May 2005 | B1 |
6898550 | Blackadar et al. | May 2005 | B1 |
6928382 | Hong et al. | Aug 2005 | B2 |
6941239 | Unuma et al. | Sep 2005 | B2 |
6959259 | Vock et al. | Oct 2005 | B2 |
6975959 | Dietrich et al. | Dec 2005 | B2 |
6997852 | Watterson et al. | Feb 2006 | B2 |
7002553 | Shkolnikov | Feb 2006 | B2 |
7010332 | Irvin et al. | Mar 2006 | B1 |
7020487 | Kimata | Mar 2006 | B2 |
7027087 | Nozaki et al. | Apr 2006 | B2 |
7028547 | Shiratori et al. | Apr 2006 | B2 |
7042509 | Onuki | May 2006 | B2 |
7054784 | Flentov et al. | May 2006 | B2 |
7057551 | Vogt | Jun 2006 | B1 |
7072789 | Vock et al. | Jul 2006 | B2 |
7092846 | Vock et al. | Aug 2006 | B2 |
7096619 | Jackson et al. | Aug 2006 | B2 |
7148797 | Albert | Dec 2006 | B2 |
7148879 | Amento et al. | Dec 2006 | B2 |
7149964 | Cottrille et al. | Dec 2006 | B1 |
7155507 | Hirano et al. | Dec 2006 | B2 |
7158912 | Vock et al. | Jan 2007 | B2 |
7169084 | Tsuji | Jan 2007 | B2 |
7171222 | Fotstick | Jan 2007 | B2 |
7171331 | Vock et al. | Jan 2007 | B2 |
7173604 | Marvit | Feb 2007 | B2 |
7176886 | Marvit et al. | Feb 2007 | B2 |
7176887 | Marvit et al. | Feb 2007 | B2 |
7176888 | Marvit et al. | Feb 2007 | B2 |
7177684 | Kroll et al. | Feb 2007 | B1 |
7180500 | Marvit et al. | Feb 2007 | B2 |
7180501 | Marvit et al. | Feb 2007 | B2 |
7180502 | Marvit et al. | Feb 2007 | B2 |
7200517 | Darley et al. | Apr 2007 | B2 |
7212230 | Stavely | May 2007 | B2 |
7212943 | Aoshima et al. | May 2007 | B2 |
7220220 | Stubbs et al. | May 2007 | B2 |
7245725 | Beard | Jul 2007 | B1 |
7254516 | Case et al. | Aug 2007 | B2 |
7280096 | Marvit et al. | Oct 2007 | B2 |
7280849 | Bailey | Oct 2007 | B1 |
7297088 | Tsuji | Nov 2007 | B2 |
7301526 | Marvit et al. | Nov 2007 | B2 |
7301527 | Marvit et al. | Nov 2007 | B2 |
7301528 | Marvit et al. | Nov 2007 | B2 |
7301529 | Marvit et al. | Nov 2007 | B2 |
7305323 | Skvortsov et al. | Dec 2007 | B2 |
7334472 | Seo et al. | Feb 2008 | B2 |
7353112 | Choi et al. | Apr 2008 | B2 |
7365735 | Reinhardt et al. | Apr 2008 | B2 |
7365736 | Marvit et al. | Apr 2008 | B2 |
7365737 | Marvit et al. | Apr 2008 | B2 |
7379999 | Zhou et al. | May 2008 | B1 |
7382611 | Tracy et al. | Jun 2008 | B2 |
7387611 | Inoue et al. | Jun 2008 | B2 |
7397357 | Krumm et al. | Jul 2008 | B2 |
7451056 | Flentov et al. | Nov 2008 | B2 |
7457719 | Kahn et al. | Nov 2008 | B1 |
7457872 | Aton et al. | Nov 2008 | B2 |
7463997 | Pasolini et al. | Dec 2008 | B2 |
7467060 | Kulach et al. | Dec 2008 | B2 |
7489937 | Chung et al. | Feb 2009 | B2 |
7502643 | Farringdon et al. | Mar 2009 | B2 |
7512515 | Vock et al. | Mar 2009 | B2 |
7526402 | Tenanhaus et al. | Apr 2009 | B2 |
7608050 | Sugg | Oct 2009 | B2 |
7640804 | Daumer et al. | Jan 2010 | B2 |
7647196 | Kahn et al. | Jan 2010 | B2 |
7653508 | Kahn et al. | Jan 2010 | B1 |
7664657 | Letzt et al. | Feb 2010 | B1 |
7689107 | Enomoto | Mar 2010 | B2 |
7705884 | Pinto et al. | Apr 2010 | B2 |
7736272 | Martens | Jun 2010 | B2 |
7752011 | Niva et al. | Jul 2010 | B2 |
7753861 | Kahn et al. | Jul 2010 | B1 |
7765553 | Douceur et al. | Jul 2010 | B2 |
7774156 | Niva et al. | Aug 2010 | B2 |
7788059 | Kahn et al. | Aug 2010 | B1 |
7840346 | Huhtala et al. | Nov 2010 | B2 |
7857772 | Bouvier et al. | Dec 2010 | B2 |
7881902 | Kahn et al. | Feb 2011 | B1 |
7892080 | Dahl | Feb 2011 | B1 |
7907901 | Kahn et al. | Mar 2011 | B1 |
7987070 | Kahn et al. | Jul 2011 | B2 |
8187182 | Kahn et al. | May 2012 | B2 |
8275635 | Stivoric et al. | Sep 2012 | B2 |
8398546 | Pacione et al. | Mar 2013 | B2 |
8458715 | Khosla et al. | Jun 2013 | B1 |
8562489 | Burton et al. | Oct 2013 | B2 |
8790279 | Brunner | Jul 2014 | B2 |
20010047488 | Verplaetse et al. | Nov 2001 | A1 |
20020006284 | Kim | Jan 2002 | A1 |
20020022551 | Watterson et al. | Feb 2002 | A1 |
20020023654 | Webb | Feb 2002 | A1 |
20020027164 | Mault et al. | Mar 2002 | A1 |
20020042830 | Bose et al. | Apr 2002 | A1 |
20020044634 | Rooke et al. | Apr 2002 | A1 |
20020054214 | Yoshikawa | May 2002 | A1 |
20020089425 | Kubo et al. | Jul 2002 | A1 |
20020109600 | Mault et al. | Aug 2002 | A1 |
20020118121 | Lehrman et al. | Aug 2002 | A1 |
20020122543 | Rowen | Sep 2002 | A1 |
20020138017 | Bui et al. | Sep 2002 | A1 |
20020142887 | O'Malley | Oct 2002 | A1 |
20020150302 | McCarthy et al. | Oct 2002 | A1 |
20020151810 | Wong et al. | Oct 2002 | A1 |
20020173295 | Nykanen et al. | Nov 2002 | A1 |
20020190947 | Feinstein | Dec 2002 | A1 |
20020193124 | Hamilton et al. | Dec 2002 | A1 |
20030018430 | Ladetto et al. | Jan 2003 | A1 |
20030033411 | Kavoori et al. | Feb 2003 | A1 |
20030048218 | Milnes et al. | Mar 2003 | A1 |
20030083596 | Kramer et al. | May 2003 | A1 |
20030093187 | Walker et al. | May 2003 | A1 |
20030101260 | Dacier et al. | May 2003 | A1 |
20030109258 | Mantyjarvi et al. | Jun 2003 | A1 |
20030139692 | Barrey et al. | Jul 2003 | A1 |
20030139908 | Wegerich et al. | Jul 2003 | A1 |
20030149526 | Zhou et al. | Aug 2003 | A1 |
20030151672 | Robins et al. | Aug 2003 | A1 |
20030187683 | Kirchhoff et al. | Oct 2003 | A1 |
20030208110 | Mault et al. | Nov 2003 | A1 |
20030208113 | Mault et al. | Nov 2003 | A1 |
20030227487 | Hugh | Dec 2003 | A1 |
20030236625 | Brown et al. | Dec 2003 | A1 |
20040017300 | Kotzin et al. | Jan 2004 | A1 |
20040024846 | Randall et al. | Feb 2004 | A1 |
20040043760 | Rosenfeld et al. | Mar 2004 | A1 |
20040044493 | Coulthard | Mar 2004 | A1 |
20040047498 | Mulet-Parada et al. | Mar 2004 | A1 |
20040078219 | Kaylor et al. | Apr 2004 | A1 |
20040078220 | Jackson | Apr 2004 | A1 |
20040081441 | Sato et al. | Apr 2004 | A1 |
20040106421 | Tomiyoshi et al. | Jun 2004 | A1 |
20040106958 | Mathis et al. | Jun 2004 | A1 |
20040122294 | Hatlestad et al. | Jun 2004 | A1 |
20040122295 | Hatlestad et al. | Jun 2004 | A1 |
20040122296 | Hatlestad et al. | Jun 2004 | A1 |
20040122297 | Stahmann et al. | Jun 2004 | A1 |
20040122333 | Nissila | Jun 2004 | A1 |
20040122484 | Hatlestad et al. | Jun 2004 | A1 |
20040122485 | Stahmann et al. | Jun 2004 | A1 |
20040122486 | Stahmann et al. | Jun 2004 | A1 |
20040122487 | Hatlestad et al. | Jun 2004 | A1 |
20040125073 | Potter et al. | Jul 2004 | A1 |
20040130628 | Stavely | Jul 2004 | A1 |
20040135898 | Zador | Jul 2004 | A1 |
20040146048 | Cotte | Jul 2004 | A1 |
20040148340 | Cotte | Jul 2004 | A1 |
20040148341 | Cotte | Jul 2004 | A1 |
20040148342 | Cotte | Jul 2004 | A1 |
20040148351 | Cotte | Jul 2004 | A1 |
20040176067 | Lakhani et al. | Sep 2004 | A1 |
20040185821 | Yuasa | Sep 2004 | A1 |
20040219910 | Beckers | Nov 2004 | A1 |
20040225467 | Vock et al. | Nov 2004 | A1 |
20040236500 | Choi et al. | Nov 2004 | A1 |
20040242202 | Torvinen | Dec 2004 | A1 |
20040247030 | Wiethoff | Dec 2004 | A1 |
20040259494 | Mazar | Dec 2004 | A1 |
20050015768 | Moore | Jan 2005 | A1 |
20050027567 | Taha | Feb 2005 | A1 |
20050033200 | Soehren et al. | Feb 2005 | A1 |
20050038691 | Babu | Feb 2005 | A1 |
20050048945 | Porter | Mar 2005 | A1 |
20050048955 | Ring | Mar 2005 | A1 |
20050078197 | Gonzalez | Apr 2005 | A1 |
20050079873 | Caspi et al. | Apr 2005 | A1 |
20050101841 | Kaylor et al. | May 2005 | A9 |
20050102167 | Kapoor | May 2005 | A1 |
20050107944 | Hovestadt et al. | May 2005 | A1 |
20050113649 | Bergantino | May 2005 | A1 |
20050113650 | Pacione et al. | May 2005 | A1 |
20050125797 | Gabrani et al. | Jun 2005 | A1 |
20050131736 | Nelson et al. | Jun 2005 | A1 |
20050141522 | Kadar et al. | Jun 2005 | A1 |
20050143106 | Chan et al. | Jun 2005 | A1 |
20050146431 | Hastings et al. | Jul 2005 | A1 |
20050157181 | Kawahara et al. | Jul 2005 | A1 |
20050165719 | Greenspan et al. | Jul 2005 | A1 |
20050168587 | Sato et al. | Aug 2005 | A1 |
20050182824 | Cotte | Aug 2005 | A1 |
20050183086 | Abe et al. | Aug 2005 | A1 |
20050202934 | Olrik et al. | Sep 2005 | A1 |
20050203430 | Williams et al. | Sep 2005 | A1 |
20050210300 | Song et al. | Sep 2005 | A1 |
20050210419 | Kela | Sep 2005 | A1 |
20050212751 | Marvit et al. | Sep 2005 | A1 |
20050212752 | Marvit et al. | Sep 2005 | A1 |
20050212753 | Marvit et al. | Sep 2005 | A1 |
20050212760 | Marvit et al. | Sep 2005 | A1 |
20050216403 | Tam et al. | Sep 2005 | A1 |
20050222801 | Wulff et al. | Oct 2005 | A1 |
20050232388 | Tsuji | Oct 2005 | A1 |
20050232404 | Gaskill | Oct 2005 | A1 |
20050232405 | Gaskill | Oct 2005 | A1 |
20050234676 | Shibayama | Oct 2005 | A1 |
20050235058 | Rackus et al. | Oct 2005 | A1 |
20050238132 | Tsuji | Oct 2005 | A1 |
20050240375 | Sugai | Oct 2005 | A1 |
20050243178 | McConica | Nov 2005 | A1 |
20050245988 | Miesel | Nov 2005 | A1 |
20050248718 | Howell et al. | Nov 2005 | A1 |
20050256414 | Kettunen et al. | Nov 2005 | A1 |
20050258938 | Moulson | Nov 2005 | A1 |
20050262237 | Fulton et al. | Nov 2005 | A1 |
20050281289 | Huang et al. | Dec 2005 | A1 |
20060009243 | Dahan et al. | Jan 2006 | A1 |
20060017692 | Wehrenberg et al. | Jan 2006 | A1 |
20060020177 | Seo et al. | Jan 2006 | A1 |
20060029284 | Stewart | Feb 2006 | A1 |
20060040793 | Martens | Feb 2006 | A1 |
20060063980 | Hwang et al. | Mar 2006 | A1 |
20060064276 | Ren et al. | Mar 2006 | A1 |
20060080551 | Mantyjarvi et al. | Apr 2006 | A1 |
20060090088 | Choi et al. | Apr 2006 | A1 |
20060090161 | Bodas et al. | Apr 2006 | A1 |
20060098097 | Wach et al. | May 2006 | A1 |
20060100546 | Silk | May 2006 | A1 |
20060109113 | Reyes et al. | May 2006 | A1 |
20060136173 | Case, Jr. et al. | Jun 2006 | A1 |
20060140422 | Zurek et al. | Jun 2006 | A1 |
20060149516 | Bond et al. | Jul 2006 | A1 |
20060154642 | Scannell, Jr. | Jul 2006 | A1 |
20060161377 | Rakkola et al. | Jul 2006 | A1 |
20060161459 | Rosenfeld et al. | Jul 2006 | A9 |
20060167387 | Buchholz et al. | Jul 2006 | A1 |
20060167647 | Krumm et al. | Jul 2006 | A1 |
20060167943 | Rosenberg | Jul 2006 | A1 |
20060172706 | Griffin et al. | Aug 2006 | A1 |
20060174685 | Skvortsov et al. | Aug 2006 | A1 |
20060201964 | DiPerna et al. | Sep 2006 | A1 |
20060204214 | Shah et al. | Sep 2006 | A1 |
20060205406 | Pekonen et al. | Sep 2006 | A1 |
20060206258 | Brooks | Sep 2006 | A1 |
20060223547 | Chin et al. | Oct 2006 | A1 |
20060249683 | Goldberg et al. | Nov 2006 | A1 |
20060256082 | Cho et al. | Nov 2006 | A1 |
20060257042 | Ofek et al. | Nov 2006 | A1 |
20060259268 | Vock et al. | Nov 2006 | A1 |
20060284979 | Clarkson | Dec 2006 | A1 |
20060288781 | Daumer et al. | Dec 2006 | A1 |
20060289819 | Parsons et al. | Dec 2006 | A1 |
20070004451 | Anderson | Jan 2007 | A1 |
20070005988 | Zhang et al. | Jan 2007 | A1 |
20070017136 | Mosher et al. | Jan 2007 | A1 |
20070024441 | Kahn et al. | Feb 2007 | A1 |
20070037605 | Logan | Feb 2007 | A1 |
20070037610 | Logan | Feb 2007 | A1 |
20070038364 | Lee et al. | Feb 2007 | A1 |
20070040892 | Aoki et al. | Feb 2007 | A1 |
20070050157 | Kahn et al. | Mar 2007 | A1 |
20070060446 | Asukai et al. | Mar 2007 | A1 |
20070061105 | Darley et al. | Mar 2007 | A1 |
20070063850 | Devaul et al. | Mar 2007 | A1 |
20070067094 | Park et al. | Mar 2007 | A1 |
20070072581 | Arrebotu | Mar 2007 | A1 |
20070073482 | Churchill et al. | Mar 2007 | A1 |
20070075127 | Rosenberg | Apr 2007 | A1 |
20070075965 | Huppi et al. | Apr 2007 | A1 |
20070078324 | Wijisiriwardana | Apr 2007 | A1 |
20070082789 | Nissila et al. | Apr 2007 | A1 |
20070102525 | Orr et al. | May 2007 | A1 |
20070104479 | Machida | May 2007 | A1 |
20070106991 | Yoo | May 2007 | A1 |
20070125852 | Rosenberg | Jun 2007 | A1 |
20070130582 | Chang et al. | Jun 2007 | A1 |
20070142715 | Banet et al. | Jun 2007 | A1 |
20070143068 | Pasolini et al. | Jun 2007 | A1 |
20070145680 | Rosenberg | Jun 2007 | A1 |
20070150136 | Doll et al. | Jun 2007 | A1 |
20070156364 | Rothkopf | Jul 2007 | A1 |
20070161410 | Huang et al. | Jul 2007 | A1 |
20070165790 | Taori | Jul 2007 | A1 |
20070169126 | Todoroki et al. | Jul 2007 | A1 |
20070176898 | Suh | Aug 2007 | A1 |
20070192483 | Rezvani et al. | Aug 2007 | A1 |
20070195784 | Allen et al. | Aug 2007 | A1 |
20070204744 | Sako et al. | Sep 2007 | A1 |
20070208531 | Darley et al. | Sep 2007 | A1 |
20070208544 | Kulach et al. | Sep 2007 | A1 |
20070213085 | Fedora | Sep 2007 | A1 |
20070213126 | Deutsch et al. | Sep 2007 | A1 |
20070221045 | Terauchi et al. | Sep 2007 | A1 |
20070225935 | Ronkainen et al. | Sep 2007 | A1 |
20070233788 | Bender | Oct 2007 | A1 |
20070239399 | Shyenblat et al. | Oct 2007 | A1 |
20070250261 | Soehren | Oct 2007 | A1 |
20070259685 | Engblom et al. | Nov 2007 | A1 |
20070259716 | Mattice et al. | Nov 2007 | A1 |
20070259717 | Mattice et al. | Nov 2007 | A1 |
20070260418 | Ladetto et al. | Nov 2007 | A1 |
20070260482 | Nurmela et al. | Nov 2007 | A1 |
20070263995 | Park et al. | Nov 2007 | A1 |
20070281762 | Barros et al. | Dec 2007 | A1 |
20070296696 | Nurmi | Dec 2007 | A1 |
20080005738 | Imai et al. | Jan 2008 | A1 |
20080030586 | Helbing et al. | Feb 2008 | A1 |
20080046888 | Appaji | Feb 2008 | A1 |
20080052716 | Theurer | Feb 2008 | A1 |
20080072014 | Krishnan et al. | Mar 2008 | A1 |
20080102785 | Childress et al. | May 2008 | A1 |
20080109158 | Huhtala et al. | May 2008 | A1 |
20080113689 | Bailey | May 2008 | A1 |
20080114538 | Lindroos | May 2008 | A1 |
20080140338 | No et al. | Jun 2008 | A1 |
20080153671 | Ogg et al. | Jun 2008 | A1 |
20080161072 | Lide et al. | Jul 2008 | A1 |
20080165022 | Herz et al. | Jul 2008 | A1 |
20080168361 | Forstall et al. | Jul 2008 | A1 |
20080171918 | Teller et al. | Jul 2008 | A1 |
20080214358 | Ogg et al. | Sep 2008 | A1 |
20080231713 | Florea et al. | Sep 2008 | A1 |
20080231714 | Estevez et al. | Sep 2008 | A1 |
20080232604 | Dufresne et al. | Sep 2008 | A1 |
20080243432 | Kato et al. | Oct 2008 | A1 |
20080303681 | Herz et al. | Dec 2008 | A1 |
20080311929 | Carro et al. | Dec 2008 | A1 |
20090017880 | Moore et al. | Jan 2009 | A1 |
20090024233 | Shirai et al. | Jan 2009 | A1 |
20090031319 | Fecioru | Jan 2009 | A1 |
20090043531 | Kahn et al. | Feb 2009 | A1 |
20090047645 | Dibenedetto et al. | Feb 2009 | A1 |
20090067826 | Shinohara et al. | Mar 2009 | A1 |
20090082994 | Schuler | Mar 2009 | A1 |
20090088204 | Culbert et al. | Apr 2009 | A1 |
20090098880 | Lindquist | Apr 2009 | A1 |
20090099668 | Lehman et al. | Apr 2009 | A1 |
20090124348 | Yoseloff et al. | May 2009 | A1 |
20090124938 | Brunner | May 2009 | A1 |
20090128448 | Riechel | May 2009 | A1 |
20090174782 | Kahn et al. | Jul 2009 | A1 |
20090213002 | Rani et al. | Aug 2009 | A1 |
20090215502 | Griffin, Jr. | Aug 2009 | A1 |
20090234614 | Kahn et al. | Sep 2009 | A1 |
20090274317 | Kahn et al. | Nov 2009 | A1 |
20090296951 | De Haan | Dec 2009 | A1 |
20090319221 | Kahn et al. | Dec 2009 | A1 |
20090325705 | Filer et al. | Dec 2009 | A1 |
20100056872 | Kahn et al. | Mar 2010 | A1 |
20100057398 | Darley et al. | Mar 2010 | A1 |
20100199189 | Ben-Aroya et al. | Aug 2010 | A1 |
20100245131 | Graumann | Sep 2010 | A1 |
20100277489 | Geisner et al. | Nov 2010 | A1 |
20100283742 | Lam | Nov 2010 | A1 |
20110003665 | Burton et al. | Jan 2011 | A1 |
Number | Date | Country |
---|---|---|
1 104 143 | May 2001 | EP |
0 833 537 | Jul 2002 | EP |
2431813 | May 2007 | GB |
7020547 | Jan 1995 | JP |
2001-057695 | Feb 2001 | JP |
2003-143683 | May 2003 | JP |
2005-309691 | Nov 2005 | JP |
2006-118909 | May 2006 | JP |
2006-239398 | Sep 2006 | JP |
2007-104670 | Apr 2007 | JP |
2007-215784 | Aug 2007 | JP |
2007-226855 | Sep 2007 | JP |
WO 9922338 | May 1999 | WO |
WO 0063874 | Oct 2000 | WO |
WO 02088926 | Nov 2002 | WO |
Entry |
---|
Lee, Hyunseok, et al, A Dual Processor Solution for the MAC Layer of a Software Defined Radio Terminal, Advanced Computer Architecture Laboratory, University of Michigan, 25 pages. |
“Decrease Processor Power Consumption using a CoolRunner CPLD,” XILINX XAPP347 (v1.0), May 16, 2001, 9 pages. |
PCT/US10/36091, International Preliminary Report on Patentability, Mailed Jul. 27, 2011, 8 pages. |
PCT/US10/36091, The International Search Report and Written Opinion, Date of mailing: Jul. 28, 2010, 7 pages. |
“Access and Terminals (AT); Multimedia Message Service (MMS) for PSTN/ISDN; Multimedia Message Communication Between a Fixed Network Multimedia Message Terminal Equipment and a Multimedia Message Service Centre,” ETSI AT-F Rapporteur Meeting, Feb. 4-6, 2003, Gothenburg, DES/AT-030023 V0.0.1 (Mar. 2003). |
Anderson, Ian, et al, “Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones,” Mobile Netw Appl, Aug. 3, 2007, pp. 185-199. |
Ang, Wei Tech, et al, “Zero Phase Filtering for Active Compensation of Periodic Physiological Motion,” Proc 1st IEEE / RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Feb. 20-22, 2006, pp. 182-187. |
Aylward, Ryan, et al, “Sensemble: A Wireless, Compact, Multi-User Sensor System for Interactive Dance,” International Conference on New Interfaces for Musical Expression (NIME06), Jun. 4-8, 2006, pp. 134-139. |
Baca, Arnold, et al, “Rapid Feedback Systems for Elite Sports Training,” IEEE Pervasive Computing, Oct.-Dec. 2006, pp. 70-76. |
Bakhru, Kesh, “A Seamless Tracking Solution for Indoor and Outdoor Position Location,” IEEE 16th International Symposium on Personal, Indoor, and Mobile Radio Communications, 2005, pp. 2029-2033. |
Bliley, Kara E, et al, “A Miniaturized Low Power Personal Motion Analysis Logger Utilizing Mems Accelerometers and Low Power Microcontroller,” IEEE EMBS Special Topic Conference on Microtechnologies in Medicine and Biology, May 12-15, 2005, pp. 92-93. |
Bourzac, Katherine “Wearable Health Reports,” Technology Review, Feb. 28, 2006, <http://www.techreview.com/printer—friendly—article—aspx?id+16431>, Mar. 22, 2007, 3 pages. |
Cheng, et al, “Periodic Human Motion Description for Sports Video Databases,” Proceedings of the Pattern Recognition, 2004, 5 pages. |
Dao, Ricardo, “Inclination Sensing with Thermal Accelerometers”, MEMSIC, May 2002, 3 pages. |
Fang, Lei, et al, “Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experience,” IEEE Transactions on Instrumentation and Measurement, vol. 54, No. 6, Dec. 2005, pp. 2342-2358. |
Healey, Jennifer, et al, “Wearable Wellness Monitoring Using ECG and Accelerometer Data,” IEEE Int. Symposium on Wearable Computers (ISWC'05), 2005, 2 pages. |
Hemmes, Jeffrey, et al, “Lessons Learned Building TeamTrak: An Urban/Outdoor Mobile Testbed,” 2007 IEEE Int. Conf. on Wireless Algorithms, Aug. 1-3, 2007, pp. 219-224. |
Jones, L, et al, “Wireless Physiological Sensor System for Ambulatory Use,” <http://ieeexplorejeee.org/xpl/freeabs—all.jsp?tp=&arnumber=1612917&isnumber=33861>, Apr. 3-5, 2006. |
Jovanov, Emil, et al, “A Wireless Body Area Network of Intelligent Motion Sensors for Computer Assisted Physical Rehabilitation,” Journal of NeuroEngineering and Rehabilitation, Mar. 2005, 10 pages. |
Kalpaxis, Alex, “Wireless Temporal-Spatial Human Mobility Analysis Using Real-Time Three Dimensional Acceleration Data,” IEEE Intl. Multi-Conf. on Computing in Global IT (ICCGI'07), 2007, 7 pages. |
Lee, Seon-Woo, et al., “Recognition of Walking Behaviors for Pedestrian Navigation,” ATR Media Integration & Communications Research Laboratories, Kyoto, Japan, pp. 1152-1155. |
Margaria, Rodolfo, “Biomechanics and Energetics of Muscular Exercise”, Chapter 3, pp. 105-125, Oxford: Clarendon Press 1976. |
Milenkovic, Milena, et al, “An Accelerometer-Based Physical Rehabilitation System,” IEEE SouthEastern Symposium on System Theory, 2002, pp. 57-60. |
Mizell, David, “Using Gravity to Estimate Accelerometer Orientation”, Seventh IEEE International Symposium on Wearable Computers, 2003, 2 pages. |
Ormoneit, D, et al, Learning and Tracking of Cyclic Human Motion: Proceedings of NIPS 2000, Neural Information Processing Systems, 2000, Denver, CO, pp. 894-900. |
Otto, Chris, et al, “System Architecture of a Wireless Body Area Sensor Network for Ubiquitous Health Monitoring,” Journal of Mobile Multimedia, vol. 1, No. 4, 2006, pp. 307-326. |
Park, Chulsung, et al, “Eco: An Ultra-Compact Low-Power Wireless Sensor Node for Real-Time Motion Monitoring,” IEEE Int. Symp. On Information Processing in Sensor Networks, 2005, pp. 398-403. |
Ricoh, “Advanced digital technology changes creativity,” <http://www.ricoh.com/r—dc/gx/gx200/features2.html>, Accessed May 12, 2011, 4 pages. |
“Sensor Fusion,” <www.u-dynamics.com>, accessed Aug. 29, 2008, 2 pages. |
Shen, Chien-Lung, et al, “Wearable Band Using a Fabric-Based Sensor for Exercise ECG Monitoring,” IEEE Int. Symp. on Wearable Computers, 2006, 2 pages. |
Tapia, Emmanuel Munguia, et al, “Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor,” IEEE Cont. on Wearable Computers, Oct. 2007, 4 pages. |
Tech, Ang Wei, “Real-time Image Stabilizer,” <http://www.mae.ntu.edu.sg/ABOUTMAE/DIVISIONS/RRC—BIOROBOTICS/Pages/rtimage.aspx>, Mar. 23, 2009, 3 pages. |
Wang, Shu, et al, “Location Based Services for Mobiles: Technologies and Standards, LG Electronics MobileComm,” IEEE ICC 2008, Beijing, pp. 1-66 (part 1 of 3). |
Wang, Shu, et al, “Location Based Services for Mobiles: Technologies and Standards, LG Electronics MobileComm,” IEEE ICC 2008, Beijing, pp. 67-92 (part 2 of 3). |
Wang, Shu, et al, “Location Based Services for Mobiles: Technologies and Standards, LG Electronics MobileComm,” IEEE ICC 2008, Beijing, pp. 93-123 (part 3 of 3). |
Weckesser, P, et al, “Multiple Sensorprocessing for High-Precision Navigation and Environmental Modeling with a Mobile Robot,” IEEE, 1995, pp. 453-458. |
Weinberg, Harvey, “Minimizing Power Consumption of iMEMS® Accelerometers,” Analog Devices, <http://www.analog.com/static/imported-files/application—notes/5935151853362884599AN601.pdf>, 2002, 5 pages. |
Weinberg, Harvey, “MEMS Motion Sensors Boost Handset Reliability” Jun. 2006, <http://www.mwrf.com/Articles/Print.cfm?ArticleID=12740>, Feb. 21, 2007, 3 pages. |
Wixted, Andrew J, et al, “Measurement of Energy Expenditure in Elite Athletes Using MEMS-Based Triaxial Accelerometers,” IEEE Sensors Journal, vol. 7, No. 4, Apr. 2007, pp. 481-488. |
Wu, Winston H, et al, “Context-Aware Sensing of Physiological Signals,” IEEE Int. Conf. on Engineering for Medicine and Biology, Aug. 23-26, 2007, pp. 5271-5275. |
Yoo, Chang-Sun, et al, “Low Cost GPS/INS Sensor Fusion System for UAV Navigation,” IEEE, 2003, 9 pages. |
Zypad WL 1100 Wearable Computer, http://www.eurotech.fi/products/manuals/Zypad%20WL%201100—sf.pdf, Jan. 16, 2008, 2 pgs. |
EP 10781099.6, Supplementary European Search Report, Dated Nov. 2, 2012, 5 pages. |
Number | Date | Country | |
---|---|---|---|
20100306711 A1 | Dec 2010 | US |