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.
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Toyama, N., Ota, T., Kato, F., Toyota, Y., Hattori, T., Hagino, T. (2005). Exploiting Multiple Radii to Learn Significant Locations. In: Strang, T., Linnhoff-Popien, C. (eds) Location- and Context-Awareness. LoCA 2005. Lecture Notes in Computer Science, vol 3479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11426646_15
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DOI: https://doi.org/10.1007/11426646_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25896-4
Online ISBN: 978-3-540-32042-5
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