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LOCA
2009
Springer

Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling

11 years 8 months ago
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
Abstract. Wireless signal strength fingerprinting has become an increasingly popular technique for realizing indoor localization systems using existing WiFi infrastructures. However, these systems typically require a time-consuming and costly training phase to build the radio map. Moreover, since radio signals change and fluctuate over time, map maintenance requires continuous re-calibration. We introduce a new concept called “asynchronous interval labeling” that addresses these problems in the context of user-generated place labels. By using an accelerometer to detect whether a device is moving or stationary, the system can continuously and unobtrusively learn from all radio measurements during a stationary period, thus greatly increasing the number of available samples. Movement information also allows the system to improve the user experience by deferring labeling to a later, more suitable moment. Initial experiments with our system show considerable increases in data collecte...
Philipp Bolliger, Kurt Partridge, Maurice Chu, Mar
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where LOCA
Authors Philipp Bolliger, Kurt Partridge, Maurice Chu, Marc Langheinrich
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