Abstract:
A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A particular embodiment includes: a peripheral device including one or more sensors to produce sensor data; and logic, at least a portion of which is partially implemented in hardware, the logic configured to determine a context from the sensor data and to perform at least one action based on the determined context, the at least one action including modifying a configuration in a mobile device for sending notifications to a user.
Abstract:
A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A mobile device includes an interface to receive sensor data from a sensor of a wearable peripheral device worn by a user. The mobile device further includes at least one processor to: identify an activity engaged in by the user based on the sensor data, detect a completion of the activity based on the sensor data, and configure the mobile device to generate a notification to the user in response to the detection of the completion of the activity.
Abstract:
A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A mobile device includes an interface to receive sensor data from a sensor of a wearable peripheral device worn by a user. The mobile device further includes at least one processor to: identify an activity engaged in by the user based on the sensor data, detect a completion of the activity based on the sensor data, and configure the mobile device to generate a notification to the user in response to the detection of the completion of the activity.
Abstract:
This disclosure describes systems, methods, and computer-readable media related to employing adaptive multi-feature semantic location sensing methods to estimate the semantic location of a mobile device. A set of wireless data scans associated with one or more access points at one or more locations may be received. One or more features of the one or more locations may be identified, based upon the set of wireless data scans wherein the features are associated with one or more location metrics. At least one of the one or more access points may be determined to be associated with a first location based upon, at least in part, the set of wireless data scans. A first classifier for the first location may be generated based upon, at least in part, the one or more features and the associated access points.