1. Employing User Feedback for Fast, Accurate, Low-Maintenance
- Author
-
Bhasker, Ezekiel S, Brown, Steven W, and Griswold, William G
- Abstract
One way to improve inferences on sensor data is to tune thealgorithms through an offline procedure. A potentially less expensive and moreaccurate method is to use an online procedure based on feedback from users, whooften know best what the data means to them. We present a method foruser-assisted location inference based on 802.11b wireless signal strengths. Auser `corrects' system geolocations by clicking on a map, recording a `virtualaccess point' (VAP) at the selected point for future inferences. A best VAP isselected using simple criteria, including the VAP's creator. This permitsusing other's VAPs while getting their own if one exists, capturinguser-specific behavior. Indoor experiments in our environment show over 10times improvement in accuracy.Pre-2018 CSE ID: CS2003-0765
- Published
- 2003