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LOCA
2005
Springer

Mobile Context Inference Using Low-Cost Sensors

10 years 4 months ago
Mobile Context Inference Using Low-Cost Sensors
In this paper, we introduce a compact system for fusing location data with data from simple, low-cost, non-location sensors to infer a user’s place and situational context. Specifically, the system senses location with a GSM cell phone and a WiFi-enabled mobile device (each running Place Lab), and collects additional sensor data using a 2” x 1” sensor board that contains a set of common sensors (e.g. accelerometers, barometric pressure sensors) and is attached to the mobile device. Our chief contribution is a multi-sensor system design that provides indoor-outdoor location information, and which models the capabilities and form factor of future cell phones. With two basic examples, we demonstrate that even using fairly primitive sensor processing and fusion algorithms we can leverage the synergy between our location and non-location sensors to unlock new possibilities for mobile context inference. We conclude by discussing directions for future work.
Evan Welbourne, Jonathan Lester, Anthony LaMarca,
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where LOCA
Authors Evan Welbourne, Jonathan Lester, Anthony LaMarca, Gaetano Borriello
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