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Modeling Actions Based on a Situative Space Model for Recognizing Human Activities

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Book cover Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2012)

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.

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Nieves, J.C., Surie, D., Lindgren, H. (2012). Modeling Actions Based on a Situative Space Model for Recognizing Human Activities. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_30

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  • DOI: https://doi.org/10.1007/978-3-642-33185-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33184-8

  • Online ISBN: 978-3-642-33185-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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