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Using Cooperative Artefacts as Basis for Activity Recognition

  • Conference paper
Ambient Intelligence (EUSAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3295))

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Abstract

Ambient intelligent applications require applications to recognise user activity calmly in the background, typically by instrumentation of environments. In contrast, we propose the concept of Cooperative Artefacts (CAs) to instrument single artefacts that cooperate with each other to acquire knowledge about their situation in the world. CAs do not rely on external infrastructure as they implement their architectural components, i.e. perceptual intelligence, domain knowledge and a rule-based inference engine, on embedded devices. We describe the design and implementation of the CA concept on an embedded systems platform and present a case study that demonstrates the potential of the CA approach for activity recognition. In the case study we track surface-based activity of users by augmenting a table and household goods.

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Author information

Authors and Affiliations

  1. Computing Department, Lancaster University, Lancaster, LA1 4YR

    Martin Strohbach, Gerd Kortuem, Hans-Werner Gellersen & Christian Kray

Authors
  1. Martin Strohbach
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  2. Gerd Kortuem
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  3. Hans-Werner Gellersen
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  4. Christian Kray
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Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Den Dolech 2, 5600MB, Eindhoven, The Netherlands

    Panos Markopoulos

  2. Faculteit Industrial Design, Technische Universiteit Eindhoven, Postbus 513, 5600 MB, Eindhoven, The Netherlands

    Berry Eggen

  3. Eindhoven University of Technology, Eindhoven, The Netherlands

    Emile Aarts

  4. INRIA Rhône-Alpes, Montbonnot, France

    James L. Crowley

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© 2004 Springer-Verlag Berlin Heidelberg

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Strohbach, M., Kortuem, G., Gellersen, HW., Kray, C. (2004). Using Cooperative Artefacts as Basis for Activity Recognition. In: Markopoulos, P., Eggen, B., Aarts, E., Crowley, J.L. (eds) Ambient Intelligence. EUSAI 2004. Lecture Notes in Computer Science, vol 3295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30473-9_5

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  • DOI: https://doi.org/10.1007/978-3-540-30473-9_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23721-1

  • Online ISBN: 978-3-540-30473-9

  • eBook Packages: Springer Book Archive

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