A framework of energy efficient mobile sensing for automatic user state recognition (original) (raw)

2009, Proceedings of the 7th international conference on Mobile systems, applications, and services - Mobisys '09

Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based services. However, continuously capturing this contextual information on mobile devices is difficult due to battery life limitations. In this paper, we present the framework design for an Energy Efficient Mobile Sensing System (EEMSS) that powers only necessary and energy efficient sensors and manages sensors hierarchically to recognize user state as well as detect state transitions. We also present the design, implementation, and evaluation of EEMSS that automatically recognizes user daily activities in real time using sensors on an off-the-shelf high-end smart phone. Evaluation of EEMSS with 10 users over one week shows that it increases the smart phone's battery life by more than 75% while maintaining both high accuracy and low latency in identifying transitions between end-user activities.

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