Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing

Ezekiel S. Bhasker, Steven W. Brown and William G. Griswold
September 8, 2003

One way to improve inferences on sensor data is to tune the algorithms through an offline procedure. A potentially less expensive and more accurate method is to use an online procedure based on feedback from users, who often know best what the data means to them. We present a method for user-assisted location inference based on 802.11b wireless signal strengths. A user `corrects' system geolocations by clicking on a map, recording a `virtual access point' (VAP) at the selected point for future inferences. A best VAP is selected using simple criteria, including the VAP's creator. This permits using other's VAPs while getting their own if one exists, capturing user-specific behavior. Indoor experiments in our environment show over 10 times improvement in accuracy.

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