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Inferring Identity Using Accelerometers in Television Remote Controls

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Pervasive Computing (Pervasive 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5538))

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Abstract

We show that accelerometers embedded in a television remote control can be used to distinguish household members based on the unique way each person wields the remote. This personalization capability can be applied to enhance digital video recorders with show recommendations per family-member instead of per device or as an enabling technology for targeted advertising. Based on five 1-3 week data sets collected from real homes, using 372 features including key press codes, key press timing, and 3-axis acceleration parameters including dominant frequency, energy, mean, and variance, we show household member identification accuracy of 70-92% with a Max-Margin Markov Network (M3N) classifier.

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Author information

Authors and Affiliations

  1. University of California, Berkeley, California, USA

    Keng-hao Chang

  2. Intel Research, Seattle, Washington, USA

    Jeffrey Hightower

  3. Intel Research, Santa Clara, California, USA

    Branislav Kveton

Authors
  1. Keng-hao Chang
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  2. Jeffrey Hightower
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  3. Branislav Kveton
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Editor information

Editors and Affiliations

  1. Faculty of Environment and Information Studies, Keio University, 5322, Endo, 252-8520, Fujisawa City, Kanagawa, Japan

    Hideyuki Tokuda

  2. Technische Universität Carolo-Wilhelmina zu Braunschweig, Mühlenpfordtstrasse 23, 38106, Braunschweig, Germany

    Michael Beigl

  3. Computing Department, InfoLab 2, South Drive, Lancaster University, LA1 4WA, Lancaster, UK

    Adrian Friday

  4. Microsoft Research, One Microsoft Way, 98052-6399, Redmond, WA, USA

    A. J. Bernheim Brush

  5. Department of Information Systems and Multimedia Design, Tokyo Denki University, 2–2 Kanda-Nishiki-cho, Chiyoda-ku, 101–8457, Tokyo, Japan

    Yoshito Tobe

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© 2009 Springer-Verlag Berlin Heidelberg

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Chang, Kh., Hightower, J., Kveton, B. (2009). Inferring Identity Using Accelerometers in Television Remote Controls. In: Tokuda, H., Beigl, M., Friday, A., Brush, A.J.B., Tobe, Y. (eds) Pervasive Computing. Pervasive 2009. Lecture Notes in Computer Science, vol 5538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01516-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-01516-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01515-1

  • Online ISBN: 978-3-642-01516-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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