Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for scheduling an execution of a task, such as a non-real time, non-latency sensitive background task on a computing device. In one implementation, the technique includes detecting a first state of a device, wherein the first state of the device is associated with a first power level and a first task, wherein the first power level is at least partially based on power consumption of a first task, determining that the first power level associated with the first state is above a threshold, and in response to determining that the first power level associated with the first state is above the threshold, and scheduling an execution of a second task on the device, wherein the second task is associated with automatically collecting of calibration data using at least one sensor.

Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for improving calibration data by increasing the diversity of orientations used for generating the calibration data. In one embodiment, the computing device receives a plurality of calibration measurements associated with one or more sensors of a device, determines a degree to which the plurality of calibration measurements were captured at different orientations of the device, and determines, based on the degree, whether to update one or more calibration parameters.

Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media to improve the calibration data by taking into account the effects of change in temperature on motion sensors. For instance, different levels of error may be associated with a motion sensor at different temperature levels. In one implementation, the sensor measurement data associated with the various orientations at a temperature is used in determining the calibration data for that temperature.

Abstract: Apparatuses and methods are provided for managing power consumption of a plurality of sensors within a mobile device. A method may include receiving a request from a sensor client regarding a sensor, determining whether the sensor client requested registration/deregistration, controlling a power supply and an operational mode of the sensor, based upon the registration/deregistration request, for reducing power consumption of the sensor, determining whether the sensor client provided a start/stop request for data from the sensor, and controlling power to the sensor, a device/driver configuration, and an operational mode of the sensor, based upon the start/stop request for data, for reducing the power consumption of the sensor. An apparatus may include a processor, a power supply coupled to the processor, a sensor coupled to the power supply, and a memory coupled to the processor, wherein the memory comprises instructions for causing the processor to execute the aforementioned method.

Abstract: Apparatuses and methods are provided for managing power consumption of a plurality of sensors within a mobile device. A method may include receiving a request from a sensor client regarding a sensor, determining whether the sensor client requested registration/deregistration, controlling a power supply and an operational mode of the sensor, based upon the registration/deregistration request, for reducing power consumption of the sensor, determining whether the sensor client provided a start/stop request for data from the sensor, and controlling power to the sensor, a device/driver configuration, and an operational mode of the sensor, based upon the start/stop request for data, for reducing the power consumption of the sensor. An apparatus may include a processor, a power supply coupled to the processor, a sensor coupled to the power supply, and a memory coupled to the processor, wherein the memory comprises instructions for causing the processor to execute the aforementioned method.