Employing user feedback for fast, accurate, low-maintenance geolocationing

One way to improve inferences on sensor data is to tune the algorithms through a time-consuming offline procedure. A less expensive and potentially 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 fo...

Full description

Saved in:
Bibliographic Details
Published inSecond IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the pp. 111 - 120
Main Authors Bhasker, E.S., Brown, S.W., Griswold, W.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Computer science
Data engineering
Error correction
Feedback
Inference algorithms
Information technology
Mathematical model
Sensor phenomena and characterization
Wireless sensor networks
Working environment noise
Online AccessGet full text

Cover

More Information
Summary:One way to improve inferences on sensor data is to tune the algorithms through a time-consuming offline procedure. A less expensive and potentially 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 permit using other's VAPs while getting their own if one exists, capturing user-specific behavior. The system is also self-maintaining with respect to changing access point deployments. Indoor experiments show very good accuracy for this simple method.
ISBN:9780769520902
0769520901
DOI:10.1109/PERCOM.2004.1276850