Representing human spatial behavior by self-organizing networks

Authors:
Takamitsu Mizutori;Kenji Kohiyama
Affiliations:
Keio University Graduate School of Media and Governance, Fujisawa, Kanagawa, Japan;Keio University Graduate School of Media and Governance, Fujisawa, Kanagawa, Japan
Venue:
Intelligent information processing II
Year:
2004

Citing 3
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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.