Abstract: A method and apparatus to provide a scheduler comprising determining a current use characteristic for the mobile device based on motion information and active applications, and scheduling a task based on the current use characteristics.

Abstract: Multimedia from a mobile device is automatically distributed to multiple and various types of shares specified by a default destination. The mobile device generates a media package from the multimedia and sensor meta data. The media package is transmitted to a server that optimizes the multimedia before distributing the multimedia to the shares. Alternatively, the multimedia may be distributed to shares specified in a different destination that is input through the mobile device. Delivery instructions corresponding to the shares for the different destination are included in the media package. In another aspect, the mobile device sends share identifiers to the server to define the default destination for the user account.

Abstract: A method and apparatus comprising a design tool to enable the design of a three dimensional object including a plurality of faces and a plurality of vertices. The apparatus further comprising a skinner to generate a two dimensional image file including the plurality of faces from the three dimensional object, and a communications tool to send the two dimensional image file and associated structure data to a recipient using a messaging protocol. The apparatus further comprising a builder to utilize a received two dimensional image file and associated structure data to generate a received three dimensional object.

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 detecting bad signals at a global positioning system (GPS) enabled device are described. In one embodiment, the GPS enabled device includes one or more inertial sensors to provide acceleration measurements for the GPS enabled device, and a GPS receiver to receive positioning data for the GPS enabled device. The GPS enabled device may also include a comparison logic to predict a position of the GPS enabled device from the acceleration measurements, and determine whether the received positioning data is within a confidence interval of the prediction.

Abstract: A method or apparatus to provide customized guidance to a vehicle having a consumption pattern, such that the guidance takes into account the consumption pattern of the vehicle.

Abstract: A method and apparatus to provide a scheduler comprising receiving motion information from a mobile device, determining a current use characteristic for the mobile device based on the motion information, and scheduling a task based on the current use characteristic.

Abstract: A sleep sensing system comprising a sensor to obtain real-time information about a user, a sleep state logic to determine the user's current sleep state based on the real-time information. The system further comprising a sleep stage selector to select an optimal next sleep state for the user, and a sound output system to output sounds to guide the user from the current sleep state to the optimal next sleep state.

Abstract: In one embodiment, the system is a body-worn device comprising an accelerometer and a temperature sensor. The system in one embodiment includes a power management system to move the body-worn device into a low power state when the body-worn device is not being worn, the power management system determining when the body-worn device is worn based on a combination of sensor data.

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: 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 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 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 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.