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Indoor Location Tracking Based on a Discrete Event Model

  • Conference paper
Impact Analysis of Solutions for Chronic Disease Prevention and Management (ICOST 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7251))

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Abstract

Some Ambient Assisted Living approaches are based on location tracking of the inhabitant. In this paper special finite automata are introduced to describe the dynamic indoor tracking process. A method to systematically generate the automaton is presented only using the topology and the sensor instrumentation of the house. Based on the discrete event model of the automaton an algorithm for location tracking has been developed. To clarify the foregoing an illustrative example is used throughout the paper.

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References

  1. Makonin, S., Popowich, F.: An Intelligent Agent for Determining Home Occupancy Using Power Monitors and Light Sensors. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds.) ICOST 2011. LNCS, vol. 6719, pp. 236–240. Springer, Heidelberg (2011)

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  2. Floeck, M., Litz, L., Rodner, T.: An Ambient Approach to Emergency Detection Based on Location Tracking. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds.) ICOST 2011. LNCS, vol. 6719, pp. 296–302. Springer, Heidelberg (2011)

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  3. Roy, A., Das Bhaumik, S.K., Bhattacharya, A., Basu, K., Cook, D.J., Das, S.K.: Location Aware Resource Management in Smart Homes. In: Proc. of the IEEE Int. Conf. on Pervasive Computing and Communications, PerCom, pp. 481–488 (2003)

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  4. Crandall, A.S., Cook, D.J.: Coping with multiple residents in a smart environment. Journal of Ambient Intelligence and Smart Environments 1(4), 323–334 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Automated Production Research Laboratory (LURPA), ENS Cachan, France

    Mickaël Danancher & Jean-Jacques Lesage

  2. Institute of Automatic Control, University of Kaiserslautern, Germany

    Mickaël Danancher & Lothar Litz

Authors
  1. Mickaël Danancher
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  2. Jean-Jacques Lesage
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  3. Lothar Litz
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Editor information

Editors and Affiliations

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

    Mark Donnelly

  2. I+ s.r.l., Piazza Puccini 26, 50144, Florence, Italy

    Cristiano Paggetti

  3. School of Computing and Mathematics, University of Ulster at Jordanstown, Shore Road, BT 37 0QB, Newtownabbey, Co. Antrim, UK

    Chris Nugent

  4. Institut Telecom/Telecom SudParis, France

    Mounir Mokhtari

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© 2012 Springer-Verlag Berlin Heidelberg

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Danancher, M., Lesage, JJ., Litz, L. (2012). Indoor Location Tracking Based on a Discrete Event Model. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_40

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  • DOI: https://doi.org/10.1007/978-3-642-30779-9_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30778-2

  • Online ISBN: 978-3-642-30779-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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