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A Multi-agent System for Human Activity Recognition in Smart Environments

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Intelligent Distributed Computing V

Part of the book series: Studies in Computational Intelligence ((SCI,volume 382))

Abstract

Activity recognition is an important component for the ambient assisted living systems, which perform home monitoring and assistance of elderly people or patients with risk factors. The paper presents a prototype system for activity recognition based on a multi-agent architecture. In the system, the context of the person is first detected using a domain ontology. Next, the human position is obtained and together with the context forms a sub-activity. The sequence of successive sub-activities is then assembled in a human activity, which is recognized using a stochastic grammar.

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Author information

Authors and Affiliations

  1. Computer Science Department, University “Politehnica” of Bucharest, Splaiul Independentei 313, 060042, Bucharest, Romania

    Irina Mocanu & Adina Magda Florea

Authors
  1. Irina Mocanu
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  2. Adina Magda Florea
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Editor information

Editors and Affiliations

  1. Faculty of Technology,Policy andManagement, Intelligent Interactive Dynamic Systems, Section Systems Engineering, Delft University of Technology, Jaffalaan 5, 2628BX, Delft, The Netherlands

    F. M. T. Brazier

  2. D-CIS lab, P.O. Box 90, 2600 AB, Delft, The Netherlands

    Kees Nieuwenhuis  & Gregor Pavlin  & 

  3. Faculty of Technology,Policy andManagement, Section Systems Engineering, Delft University of Technology, Jaffalaan 5, 2628BX, Delft, The Netherlands

    Martijn Warnier

  4. Faculty of Automatics, Computers and Electronics, Software Engineering Department, University of Craiova, Bvd. Decebal Nr. 107, 200440, Craiova, Romania

    Costin Badica

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© 2011 Springer-Verlag Berlin Heidelberg

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Mocanu, I., Florea, A.M. (2011). A Multi-agent System for Human Activity Recognition in Smart Environments. In: Brazier, F.M.T., Nieuwenhuis, K., Pavlin, G., Warnier, M., Badica, C. (eds) Intelligent Distributed Computing V. Studies in Computational Intelligence, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24013-3_31

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  • DOI: https://doi.org/10.1007/978-3-642-24013-3_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24012-6

  • Online ISBN: 978-3-642-24013-3

  • eBook Packages: EngineeringEngineering (R0)

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