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International Conference on Pervasive Computing

Pervasive 2010: Pervasive Computing pp 283–300Cite as

Transferring Knowledge of Activity Recognition across Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6030))

Abstract

A problem in performing activity recognition on a large scale (i.e. in many homes) is that a labelled data set needs to be recorded for each house activity recognition is performed in. This is because most models for activity recognition require labelled data to learn their parameters. In this paper we introduce a transfer learning method for activity recognition which allows the use of existing labelled data sets of various homes to learn the parameters of a model applied in a new home. We evaluate our method using three large real world data sets and show our approach achieves good classification performance in a home for which little or no labelled data is available.

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Author information

Authors and Affiliations

  1. Intelligent Systems Lab Amsterdam, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands

    T. L. M. van Kasteren, G. Englebienne & B. J. A. Kröse

Authors
  1. T. L. M. van Kasteren
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  2. G. Englebienne
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  3. B. J. A. Kröse
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Editor information

Editors and Affiliations

  1. Helsinki Institute for Information Technology – HIIT, Department of Computer Science,, University of Helsinki, P.O. Box 68, 00014, Finland

    Patrik Floréen

  2. German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Antonio Krüger

  3. Nokia Research Center, Palo Alto, CA, USA

    Mirjana Spasojevic

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van Kasteren, T.L.M., Englebienne, G., Kröse, B.J.A. (2010). Transferring Knowledge of Activity Recognition across Sensor Networks. In: Floréen, P., Krüger, A., Spasojevic, M. (eds) Pervasive Computing. Pervasive 2010. Lecture Notes in Computer Science, vol 6030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12654-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-12654-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12653-6

  • Online ISBN: 978-3-642-12654-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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