Abstract: A method comprising monitoring a user's movements and determining when the user is falling asleep into a sleep session. The method further comprising identifying the sleep session as a power nap or a longer sleep, and waking up the user at a predetermined time, based on a combination of user preferences and measured information regarding the sleep session.

Abstract: A method of using location-dependent sensor information comprising receiving information from one or more sensor/monitor/device (SMD) and determining a location associated with the SMD. The method further comprising integrating the SMD data into a comprehensive location-based database, and enabling a user to search for local conditions in the location-based database.

Abstract: A method comprising monitoring a user's movements and determining when the user is falling asleep into a sleep session. The method further comprising identifying the sleep session as a power nap or a longer sleep, and waking up the user at a predetermined time, based on a combination of user preferences and measured information regarding the sleep session.

Abstract: A method or apparatus to provide an improved headset. The headset includes at least one sensor. The headset further includes a configuration logic to configure the headset based on the position of the headset on the user's head.

Abstract: The method defines a user environment based on detected motion data and/or ambient noise data. The user environment is then used to apply an appropriate audio adjustment mode. In one embodiment, the user environment definition further includes location data. In one embodiment, the location data is obtained from one of: a global positioning system (GPS), and network triangulation.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: A method and apparatus for adjusting the frequency of testing for a wireless communications signal are described. The computer-implemented method comprises detecting a change in a wireless communications signal and adjusting a frequency of testing for the wireless communications signal. The method further comprises receiving motion data and determining, based on the motion data whether and whether to adjust the frequency of testing for the wireless communications signal.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: An application is executed in a first state on a handheld device. The first state is combined with a second state being executed on an additional device to generate a hybrid state, execution of the hybrid state being shared between the handheld device and the additional device. A first aspect of the hybrid state is displayed on the handheld device.

Abstract: A method and apparatus for detecting a shake by a user to invoke an invoked application, identifying whether there is a conflicting application. When a conflicting application is detected, storing state information for the conflicting application and halting the conflicting application. The method further comprising starting the invoked application, and upon detecting an end of use of the invoked application, restoring the conflicting application to the stored state.

Abstract: A methodology for dynamic (i.e., run-time) uploading and execution of applications and drivers between devices (e.g., between “client” device and one or more (host) devices), in a fully automated manner, is described. The device which is to be hosted (e.g., the “client” device) initially probes its environment to determine which device or devices it is attached to (e.g., the “host” device(s)). Once it has correctly discerned the relevant host or target device(s), the client device includes the capability of immediately sending out (i.e., uploading) a particular driver or application (i.e., object or file of interest) for placement, and ultimately execution, at the host device. Once the particular object or file of interest has been “injected” into the host device and is executing, the client device may simply revert to a “listening mode” in which it waits to be told what to do (i.e., receive commands from the application or driver which is now executing at the host device).

Abstract: A method comprising receiving an indication from a user that the user wishes to take a picture. The method further comprising receiving motion data for a camera device and analyzing the motion data to determine a motion state of the camera. The method further comprising acting based on the motion data. In one embodiment, acting on the motion data comprises providing feedback to the user regarding a time to take a photo, based on the motion data. In one embodiment, acting on the motion data comprises automatically taking a picture when the motion state is at a particular level. In one embodiment, acting on the motion data comprises automatically taking a picture when the camera is at a correct angle as determined by the motion data.

Abstract: A method and apparatus to collect user location data over time, correlating user location data with outbreak data. The method and apparatus further comprising an alert mechanism to indicate to a user if there was a potential exposure.

Abstract: A method and apparatus for receiving motion data and determining acceleration vectors based on biomechanical data and the received motion data. The method further comprises creating an improved image based on the acceleration vectors.

Abstract: A method for monitoring human activity using an inertial sensor includes obtaining acceleration measurement data from an inertial sensor disposed in eyewear. The acceleration measurement data is processed to determine a user activity statistic. The user activity statistic includes at least one of a current user activity, periodic human motion count, total distance traveled, vertical distance traveled, current speed and average speed.

Abstract: A method and apparatus for providing improved images utilizing acceleration data is described. In one embodiment, the method utilizes the accelerometer data to time the taking of the image to minimize motion effects.

Abstract: A method and apparatus to provide a global positioning system receiver is described. The Personal navigation system includes at least one motion sensor, the motion sensor capable of identifying a user activity, and distinguishing between walking and driving, or other manual v. mechanical locomotion. The system automatically switches modes to the appropriate format.

Abstract: A method and apparatus for a virtual accelerometer is described. The virtual accelerometer includes an active process identifier engine to identify any active application that may use accelerometer data. The virtual accelerometer also includes an intelligent signal interpretation and separation (ISIS) engine to separate raw accelerometer data for each of the active applications that use the accelerometer data. Additionally, the virtual accelerometer includes a universal application program interface (API) to provide separated accelerometer data to an application.

Abstract: A method and apparatus for providing improved images utilizing acceleration data is described. In one embodiment, the method utilizes the accelerometer data to time the taking of the image to minimize motion effects.

Abstract: A method comprising receiving an indication from a user that the user wishes to take a picture. The method further comprising receiving motion data for a camera device and analyzing the motion data to determine a motion state of the camera. The method further comprising acting based on the motion data. In one embodiment, acting on the motion data comprises providing feedback to the user regarding a time to take a photo, based on the motion data. In one embodiment, acting on the motion data comprises automatically taking a picture when the motion state is at a particular level. In one embodiment, acting on the motion data comprises automatically taking a picture when the camera is at a correct angle as determined by the motion data.