Abstract: Systems, methods, and computer-readable media for managing or classifying movement states of an electronic device are provided that may utilize communications circuitry data from one or more communications circuitries when determining a current or future movement state of an electronic device.

Abstract: Methods and systems for improving signal reception and call quality by detecting a user's handedness of holding a mobile device during a call are described. Motion data of the mobile device can be collected by one or more motion sensor. A screen tilt angle can be determined and compared with a threshold tilt angle. A screen swivel angle can be determined and compared with a threshold swivel angle. A call handedness can be determined based on the screen swivel angle. One or more parameters of an antenna can be adjusted based on the call handedness.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: The embodiments described relate to techniques and systems for utilizing a portable electronic device to monitor, process, present and manage data captured by a series of sensors and location awareness technologies to provide a context aware map and navigation application. The context aware map application offers a user interface including visual and audio input and output, and provides several map modes that can change based upon context determined by data captured by a series of sensors and location awareness technologies.

Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.

Abstract: A system and method for improving the accuracy of a user device when generating map/navigation information for display to a user, comprising: obtaining compass heading from a magnetometer of the user device located within a vehicle; adjusting the compass heading based on a mount angle of the user device within the vehicle; obtaining location data from a location sensor of the user device; determining if a course of the vehicle can be reliably determined from the location data; if the course of the vehicle cannot be reliably determined from the location data, determining the orientation of the vehicle using the compass heading but not the course; if the course of the vehicle can be reliably determined from the location data, calculating a course of the vehicle based on the location data and determining the orientation of the vehicle using the course; generating, by a processor, first map/navigation information using the orientation of the vehicle; and displaying, by a processor, the first map/navigation inform

Abstract: Methods and systems for improving signal reception and call quality by detecting a user's handedness of holding a mobile device during a call are described. Motion data of the mobile device can be collected by one or more motion sensor. A screen tilt angle can be determined and compared with a threshold tilt angle. A screen swivel angle can be determined and compared with a threshold swivel angle. A call handedness can be determined based on the screen swivel angle. One or more parameters of an antenna can be adjusted based on the call handedness.

Abstract: Methods, program products, and systems for gesture classification and recognition are disclosed. In general, in one aspect, a system can determine multiple motion patterns for a same user action (e.g., picking up a mobile device from a table) from empirical training data. The system can collect the training data from one or more mobile devices. The training data can include multiple series of motion sensor readings for a specified gesture. Each series of motion sensor readings can correspond to a particular way a user performs the gesture. Using clustering techniques, the system can extract one or more motion patterns from the training data. The system can send the motion patterns to mobile devices as prototypes for gesture recognition.

Abstract: A method for performing continuous calibration of a magnetometer in a device includes during operation of a device, continually performing magnetometer measurements; continuously determining a state of the device; determining a magnetometer calibration model based on the magnetometer measurements and the state of the device; continually evaluating an accuracy of the magnetometer calibration model based the magnetometer measurements and the state of the device; and updating the magnetometer calibration model based on the evaluation of the accuracy magnetometer calibration model, the magnetometer measurements, and the state of the device.

Abstract: Methods and devices for detecting a change in a motion state of a user of a mobile device are provided. The method includes determining, based on one or more sensors of the mobile device, that the motion state of the user is a driving state, the driving state indicating that the user is inside a vehicle that is moving, monitoring, with the mobile device, the one or more sensors, determining that a new motion state is a non-driving state. The method further includes identifying a location where the user exited the vehicle using one or more of the measurements from the one or more sensors before the determining that the new motion state is the non-driving state, and identifying the location where the user exited the vehicle as corresponding to a parked location of the vehicle.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: Systems, methods, and computer-readable media for managing or classifying movement states of an electronic device are provided that may utilize communications circuitry data from one or more communications circuitries when determining a current or future movement state of an electronic device.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: In some implementations, a mobile device can be configured to provide simplified audio navigation instructions. The simplified audio navigation instructions can provide a reduced set of audio navigation instructions so that the audio instructions are only presented to the user when the user wishes to or needs to hear the instructions. A user can enable the simplified audio navigation instructions. The simplified audio navigation instructions can be enabled automatically. The simplified audio navigation instructions can be configured with rules for when to present audio navigation instructions. For example, the rules can specify that audio navigation instructions are to be provided for complex road segments, a user defined portion of a route, or specified road types, among other criteria. The mobile device can be configured with exceptions to the rules such that audio navigation instructions can be presented when the user has, for example, deviated from a defined route.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: In some implementations, a mobile device can be configured to provide simplified audio navigation instructions. The simplified audio navigation instructions can provide a reduced set of audio navigation instructions so that the audio instructions are only presented to the user when the user wishes to or needs to hear the instructions. A user can enable the simplified audio navigation instructions. The simplified audio navigation instructions can be enabled automatically. The simplified audio navigation instructions can be configured with rules for when to present audio navigation instructions. For example, the rules can specify that audio navigation instructions are to be provided for complex road segments, a user defined portion of a route, or specified road types, among other criteria. The mobile device can be configured with exceptions to the rules such that audio navigation instructions can be presented when the user has, for example, deviated from a defined route.

Abstract: Systems, methods, devices and computer-readable storage mediums are disclosed for correcting a compass view using map data. In an implementation, a method comprises: receiving, by one or more sensors of a mobile device, sensor data; determining, by a processor of the mobile device, compass offset data for a compass view based on the sensor data and map data; determining, by the processor, a corrected compass view based on the compass offset data; and presenting, by the processor, the corrected compass view.

Abstract: A wearable computing device can detect device-raising gestures. For example, onboard motion sensors of the device can detect movement of the device in real time and infer information about the spatial orientation of the device. Based on analysis of signals from the motion sensors, the device can detect a raise gesture, which can be a motion pattern consistent with the user moving the device's display into his line of sight. In response to detecting a raise gesture, the device can activate its display and/or other components. Detection of a raise gesture can occur in stages, and activation of different components can occur at different stages.

Abstract: Techniques for mobile devices to subscribe and share raw sensor data are provided. The raw sensor data associated with sensors (e.g., accelerometers, gyroscopes, compasses, pedometers, pressure sensors, audio sensors, light sensors, barometers) of a mobile device can be used to determine the movement or activity of a user. By sharing the raw or compressed sensor data with other computing devices, the other computing devices can determine a motion state based on the sensor data. Additionally, in some instances, the other computing devices can determine a functional state based on the sensor data and the motion state. For example, functional state classification can be associated with each motion state (e.g., driving, walking) by further describing each motion state (e.g., walking on rough terrain, driving while texting).