Abstract: In some implementations, a user equipment (UE) may determine an angular motion using at least one gyroscope. The UE may adjust at least one measurement from at least one sensor that is associated with the UE and used to measure relative position, based at least in part on the angular motion. Additionally, in some implementations, the UE may determine at least one distance between the at least one sensor and an estimated grip associated with the UE, and determine at least one translation associated with the at least one sensor based at least in part on the angular motion and the at least one distance. Accordingly, the UE may adjust the at least one measurement by offsetting the at least one measurement based at least in part on the at least one translation.

Abstract: Disclosed is an apparatus and method for automatically configuring a mobile device for collecting and inferring heart rate data of a user. The method may include capturing heart rate data for a user with a heart rate sensor that is coupled with a mobile device. The method may also include monitoring a activity state of the user from activity data captured by the mobile device, and detecting a constant activity state of the user. The method may also include inferring heart rate data for the user from the captured heart rate data during a period in which the user remains in the constant activity state. The method may also include providing the inferred heart rate data, as captured heart rate data, to a heart rate calculator during the period in which the user remains in the constant activity state.

Abstract: Embodiments of the invention provide for a sensor system with enhanced low-power features. Embodiments can include transmission of sensor data from a transmitter unit to a receiver unit. The sensor data can flag the sensor data with a particular header ID, enabling the receiver unit to route the sensor data to a low-power processing unit within the receiver unit without using the receiver unit's higher-power application processer. Embodiments can also utilize a proprietary encryption engine to provide a supplementary encryption layer to any encryption utilized in the wireless protocol. The transmitter unit can also compress and batch the sensor data for sending, to further increase power savings.

Abstract: Methods, systems, computer-readable media, and apparatuses for assessing a fitness state of a user via a mobile device are presented. In some implementations, a first physiological measurement of the user during a first level of a physical activity is obtained via one or more sensors. A second physiological measurement during a second level of the physical activity is obtained via the one or more sensors. A transient physiological measurement based on the first physiological measurement and the second physiological measurement is determined. The physical activity is classified based on one or more motion measurements obtained via the one or more sensors. A fitness profile indicative of a fitness state of the user is generated based at least in part on the determined transient physiological measurement and the classified physical activity.

Abstract: Disclosed is an apparatus and method for automatically configuring a mobile device for collecting and inferring heart rate data of a user. The method may include capturing heart rate data for a user with a heart rate sensor that is coupled with a mobile device. The method may also include monitoring a activity state of the user from activity data captured by the mobile device, and detecting a constant activity state of the user. The method may also include inferring heart rate data for the user from the captured heart rate data during a period in which the user remains in the constant activity state. The method may also include providing the inferred heart rate data, as captured heart rate data, to a heart rate calculator during the period in which the user remains in the constant activity state.

Abstract: Embodiments of the invention provide for a sensor system with enhanced low-power features. Embodiments can include transmission of sensor data from a transmitter unit to a receiver unit. The sensor data can flag the sensor data with a particular header ID, enabling the receiver unit to route the sensor data to a low-power processing unit within the receiver unit without using the receiver unit's higher-power application processer. Embodiments can also utilize a proprietary encryption engine to provide a supplementary encryption layer to any encryption utilized in the wireless protocol. The transmitter unit can also compress and batch the sensor data for sending, to further increase power savings.