Wireless symbolic positioning using support vector machines

Authors:
C. Philipp Schloter;Hamid Aghajan
Affiliations:
Stanford University, Stanford, CA;Stanford University, Stanford, CA
Venue:
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Year:
2006

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Abstract

This paper introduces a novel symbolic positioning system based on wireless access points and Support Vector Machines. The system works both indoors and outdoors and is cost-effective since it can even work with widely deployed 802.11 access points as infrastructure. The system requires minimal setup time, which makes it readily available for real-world applications.