SensLoc: sensing everyday places and paths using less energy

Continuously understanding a user's location context in colloquial terms and the paths that connect the locations unlocks many opportunities for emerging applications. While extensive research effort has been made on efficiently tracking 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 inforabstracting location as place visits and path travels from sensor signals. SensLoc comprises of a robust place detection algorithm, a sensitive movement detector, and an ondemand path tracker. Based on a user's mobility, SensLoc proactively controls active cycle of a GPS receiver, a WiFi 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 co...

• Type: Journal
• Year: 2010
• Where: SENSYS
• Authors: Donnie H. Kim, Younghun Kim, Deborah Estrin, Mani B. Srivastava
• Keywords: Contextual Inforabstracting Location, Everyday Contextual Information, Location Context, Sensor Networks, SENSYS 2010