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Human Behavior Analysis in Ubiquitous Environments for Energy Efficiency Improvement

  • Conference paper
Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

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Abstract

The goal of this paper is to discover human habits using the received sensors data-streams, in order to improve the energy efficiency. We propose a multi-agent architecture and a formalism to describe scenarios in ubiquitous environments based on a wireless sensors network. We have used sensor data and simulations about a four person family, to validate our prototype.

This work was partially supported by the Romanian project PNII nr.12-122/2008 ASISTSYS and nr. 12-118/2008 SCIPA.

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References

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Author information

Authors and Affiliations

  1. Research Institute E-Austria, Romania

    Ovidiu Aritoni & Viorel Negru

  2. West University of Timişoara, Timişoara, Romania

    Ovidiu Aritoni & Viorel Negru

Authors
  1. Ovidiu Aritoni
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  2. Viorel Negru
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Editor information

Editors and Affiliations

  1. Delft University of Technology, Landbergstraat 15, 2628CE, Delft, The Netherlands

    David V. Keyson

  2. College of Information Studies, University of Maryland, College Park, 2117E Hornbake Hall, 20742-4345, Marylandm, USA

    Mary Lou Maher

  3. Smart Future Initiative, Konrad-Zuse-Str. 43, 60438, Frankfurt, Germany

    Norbert Streitz

  4. Keio University, Japan and National University of Singapore, Heng Miu Keng Terrace 02-01-01A, 119613, Singapore

    Adrian Cheok

  5. School of Computing and Mathematics, University of Ulster, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Juan Carlos Augusto

  6. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  7. Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Gwenn Englebienne

  8. Ambient Intelligence Research Lab., Stanford University and Ghent University, 350 Serra Mall, David Packard #318, 94305-9515, Stanford, CA, USA

    Hamid Aghajan

  9. Informatics Institute, University of Amsterdam and Amsterdam University of Applied Sciences, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Ben J. A. Kröse

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© 2011 Springer-Verlag Berlin Heidelberg

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Aritoni, O., Negru, V. (2011). Human Behavior Analysis in Ubiquitous Environments for Energy Efficiency Improvement. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_29

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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