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Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors

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Pervasive Computing (Pervasive 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3468))

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Abstract

In this paper we introduce the simultaneous tracking and activity recognition (STAR) problem, which exploits the synergy between location and activity to provide the information necessary for automatic health monitoring. Automatic health monitoring can potentially help the elderly population live safely and independently in their own homes by providing key information to caregivers. Our goal is to perform accurate tracking and activity recognition for multiple people in a home environment. We use a “bottom-up” approach that primarily uses information gathered by many minimally invasive sensors commonly found in home security systems. We describe a Rao-Blackwellised particle filter for room-level tracking, rudimentary activity recognition (i.e., whether or not an occupant is moving), and data association. We evaluate our approach with experiments in a simulated environment and in a real instrumented home.

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Author information

Authors and Affiliations

  1. Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA

    D. H. Wilson & C. Atkeson

Authors
  1. D. H. Wilson
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  2. C. Atkeson
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Editor information

Editors and Affiliations

  1. Computing Department, Lancaster University, England

    Hans -W. Gellersen

  2. Intel Research, 2200 Mission College Blvd, CA 95052-8819, Santa Clara, USA

    Roy Want

  3. Pervasive Computing and User Interface Engineering, University of Duisburg-Essen, Germany

    Albrecht Schmidt

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© 2005 Springer-Verlag Berlin Heidelberg

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Wilson, D.H., Atkeson, C. (2005). Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors. In: Gellersen, H.W., Want, R., Schmidt, A. (eds) Pervasive Computing. Pervasive 2005. Lecture Notes in Computer Science, vol 3468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428572_5

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  • DOI: https://doi.org/10.1007/11428572_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26008-0

  • Online ISBN: 978-3-540-32034-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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