Networked and Embedded Systems Laboratory

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Continuously understanding a user’s location context in colloquial terms and the paths that connect the locations un- locks many opportunities for emerging applications. While extensive research effort has been made on efficiently track- ing a user’s raw coordinates, few attempts have been made to efficiently provide everyday contextual information about these locations as places and paths. We introduce SensLoc, a practical location service to provide such contextual information, abstracting location as place visits and path travels from sensor signals. SensLoc comprises of a robust place detection algorithm, a sensitive movement detector, and an on- demand path tracker. Based on a user’s mobility, SensLoc proactively controls active cycle of a GPS receiver, a Wi- Fi scanner, and an accelerometer. Pilot studies show that SensLoc can correctly detect 94% of the place visits, track 95% of the total travel distance, and still only consume 13% of energy than algorithms that periodically collect coordinates to provide the same information.

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