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: 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: 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: 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: The present disclosure generally relates to user interfaces for enabling an activity using a computer system. In some embodiments, exemplary user interfaces for invoking an activity associated with an application are described. In some embodiments, exemplary user interfaces for customizing displayed content based on circumstances under which the content was invoked are described. In some embodiments, exemplary user interfaces for managing applications that were used to enable activities are described. In some embodiments, exemplary user interfaces for managing settings for applications used to enable activities are described.

Abstract: The present disclosure generally relates to user interfaces for enabling an activity using a computer system. In some embodiments, exemplary user interfaces for invoking an activity associated with an application are described. In some embodiments, exemplary user interfaces for customizing displayed content based on circumstances under which the content was invoked are described. In some embodiments, exemplary user interfaces for managing applications that were used to enable activities are described. In some embodiments, exemplary user interfaces for managing settings for applications used to enable activities are described.

Abstract: A magnetic flux switching hub motor having a permanent magnet rotor, includes: a wheel rim, a stator core, an armature winding which is wound on the stator core, and a plurality of rotor units, wherein rotor units are fixed inside the wheel rim, and a rotor unit comprises a permanent magnet and rotor cores which are arranged on two sides of the permanent magnet, the magnetization direction of the permanent magnet being tangential magnetization, and a magnetization direction of each permanent magnet being the same. The motor has the advantages of being high power, and having strong saturation and overload resistance, high reluctance torque, good flux-weakening performance, a broad speed regulation range, a high degree of manufacturing integration, suitability for modular manufacturing processes, and the like.

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 method and a system for determining an energy expenditure of a user by detecting unmeasurable loads using heart rate and work rate are described. Time-stamped heart rate data and work rate data can be collected by one or more sensing modules. A processor circuit can calculate a heart rate-based energy expenditure and a work rate-based energy expenditure. The processor circuit can output a hybrid energy expenditure based on a heart rate confidence parameter, an exercise type, a fraction of heart rate reserve, and a hear rate-based metabolic equivalents of task.

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: In some implementations, a mobile device can analyze motion sensor data and proximity sensor data during a voice call to determine whether the mobile device is on a stationary object or worn on a user's body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination.

Abstract: A magnetic flux switching hub motor having a permanent magnet rotor, comprising: a wheel rim, a stator core, an armature winding which is wound on the stator core, and a plurality of rotor units, wherein rotor units are fixed inside the wheel rim, and a rotor unit comprises a permanent magnet and rotor cores which are arranged on two sides of the permanent magnet, the magnetization direction of the permanent magnet being tangential magnetization, and a magnetization direction of each permanent magnet being the same. The motor has the advantages of being high power, and having strong saturation and overload resistance, high reluctance torque, good flux-weakening performance, a broad speed regulation range, a high degree of manufacturing integration, suitability for modular manufacturing processes, and the like.

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 method and a system for determining an energy expenditure of a user by detecting unmeasurable loads using heart rate and work rate are described. Time-stamped heart rate data and work rate data can be collected by one or more sensing modules. A processor circuit can calculate a heart rate-based energy expenditure and a work rate-based energy expenditure. The processor circuit can output a hybrid energy expenditure based on a heart rate confidence parameter, an exercise type, a fraction of heart rate reserve, and a hear rate-based metabolic equivalents of task.

Abstract: In some implementations, a mobile device can analyze motion sensor data and proximity sensor data during a voice call to determine whether the mobile device is on a stationary object or worn on a user's body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination.

Abstract: In some implementations, a mobile device can analyze motion sensor data and proximity sensor data during a voice call to determine whether the mobile device is on a stationary object or worn on a user's body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination.

Abstract: A method for managing software licenses in a cloud environment includes receiving, by a license services system associated with the cloud environment, a request to use a first application from a first user associated with a first subscribing entity, and receiving, by the license services system, a request to use a second application from a second user associated with a second subscribing entity. The method also includes permitting, by the license services system, the first user to execute the first application if a license for the first application is available to the first subscribing entity, and permitting, by the license service system, the second user to execute the second application if a license for the second application is available to the second subscribing entity.

Abstract: A system and method is provided for remote session control of IP Multimedia Subsystem (IMS) sessions. A remote media flow may be established as part of an origination process wherein the controller UE requests that the media flow is established on a remote media UE as part of the origination request. A remote media flow may also be established as part of a termination process wherein the controller UE identified in the termination request identifies a remote media UE on which a remote media is to be established. Embodiments also allow for the session control to be transferred from a first device to a second device, while maintaining one or more media flows on the first device.

Abstract: Implementations are disclosed for using magnetometer measurements to estimate bias for angular rate measurements provided by an angular rate sensor (e.g., a gyro sensor). In some implementations, a bias estimator running on a device is configured to determine if the device is rotating based on the magnetometer measurements. If the device is not rotating, a dynamic bias is calculated and added to a temperature compensated static bias to provide a total angular rate measurement bias. The total angular rate measurement bias can be provided to an attitude estimation system where it is used to update an attitude (orientation) of the device. In some implementations, the angular rate measurements are used to determine if the device is oscillating according to a threshold value. If the device is not rotating and the device is oscillating according to a threshold value, the static bias is updated in a calibration table.

Abstract: Embodiments are provided for improving storage of file ACLs. A plurality of ACLs are assigned corresponding unique ACL IDs and are stored in an indexed list. The indices of the ACLs in the list are mapped to the ACL IDs, which have a fixed defined size. The ACL ID for a given ACL is stored in a file or directory metadata structure. The ACL ID is then used to obtain the stored ACL, to determine for a user, access permission to the file or directory. The ACLs are stored once in the file system and their ACL IDs are duplicated, instead of the ACLs, in files as needed. Duplicating the ACL IDs instead of the ACLs in the files preserves storage space. Further, duplicating the ACL IDs instead of the ACLs in the files reduces the files sizes, which further improves file system efficiencies.