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A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques

Author

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  • John Garofalakis

    (University of Patras, Greece)

  • Christos Mettouris

    (University of Patras, Greece)

Abstract

Until now, user positioning systems were focused mainly on providing users with exact location information. This makes them computational heavy while often demanding specialized software and hardware from mobile devices. In this article we present a new user positioning system. The system is intended for use with m-commerce, by sending informative and advertising messages to users, after locating their position indoors. It is based exclusively on Bluetooth. The positioning method we use, while efficient is nevertheless simple. The m-commerce based messages, can be received without additional software or hardware installed. Moreover, the location data collected by our system are further processed using data mining techniques, in order to provide statistical information. After discussing the available technologies and methods for implementing indoor user positioning applications, we shall focus on implementation issues, as well as the evaluation of our system after testing it. Finally, conclusions are extracted.

Suggested Citation

  • John Garofalakis & Christos Mettouris, 2009. "A Bluetooth User Positioning System for Locating, Informing, and Extracting Information Using Data Mining Techniques," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 1(2), pages 68-88, April.
    • Handle: RePEc:igg:japuc0:v:1:y:2009:i:2:p:68-88
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