Exploiting multiple radii to learn significant locations

Authors:
Norio Toyama;Takashi Ota;Fumihiro Kato;Youichi Toyota;Takashi Hattori;Tatsuya Hagino
Affiliations:
Graduate School of Media and Governance, Keio University, Kanagawa, Japan;Graduate School of Media and Governance, Keio University, Kanagawa, Japan;Graduate School of Media and Governance, Keio University, Kanagawa, Japan;Graduate School of Media and Governance, Keio University, Kanagawa, Japan;Faculty of Environmental Information, Keio University, Kanagawa, Japan;Faculty of Environmental Information, Keio University, Kanagawa, Japan
Venue:
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Year:
2005

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Abstract

Location contexts are important for many context-aware applications. A significant location is a specialized form of location context for expressing a user's daily activity. We propose a method to cluster positions measured by cellular phones into significant locations with multiple radii. Cellular phones we used are equipped with a positioning system, where data can be taken in low frequency with wide-varying estimated errors. In order to learn significant locations, our system exploits multiple radii for coping with these characteristics and for adapting to a variety of users' spatial behavioral patterns. We also discuss appropriate parameters for our clustering method.