Modeling actions based on a situative space model for recognizing human activities

  • Authors:
  • Juan Carlos Nieves;Dipak Surie;Helena Lindgren

  • Affiliations:
  • Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden

  • Venue:
  • AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
  • Year:
  • 2012

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Abstract

Human activities usually have a motive and are driven by goal directed sequence of actions. Recognizing and supporting human activities is an important challenge for ambient assisted living of elderly in their home environment. By understanding an activity as a sequence of actions, we explore action specification languages for recognizing human activities. In this setting, we analyze the role of the situative space model for modeling indoor human activities in terms of an action specification language.