Representing Human Spatial Behavior by Self-Organizing Networks

  • Takamitsu Mizutori
  • Kenji Kohiyama
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 163)


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.

Key words

Mobile agents Distributed intelligence Neural Computing 

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Takamitsu Mizutori
    • 1
  • Kenji Kohiyama
    • 1
  1. 1.Design Studio BKeio University Graduate School of Media and GovernanceKanagawaJapan

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