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Representing human spatial behavior by self-organizing networks

IFIP Advances in Information and Communication Technology (2005) 163 65-68
DOI: 10.1007/0-387-23152-8_8
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Abstract

In this paper, we propose a way for mobile applications to recognize the daily spatial behavior of a user in the duration of a day. A feature representation of the user's spatial behavior is created from the accumulation of GPS location data logged in the user's everyday lives. By referencing this representation - called "Behavior Map", mobile applications could infer a path the user will take, and behave proactively for locations where the user will be in. © 2005 by International Federation for Information Processing.

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Mizutori, T., & Kohiyama, K. (2005). Representing human spatial behavior by self-organizing networks. In IFIP Advances in Information and Communication Technology (Vol. 163, pp. 65–68). Springer New York LLC. https://doi.org/10.1007/0-387-23152-8_8

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