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Intention Recognition with Clustering

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Ambient Intelligence (AmI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7683))

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Abstract

Intention recognition has significant applications in ambient intelligence, assisted living and care of the elderly, amongst others. In this paper we explore an approach to intention recognition based on clustering. To this end we show how to map the intention recognition problem into a clustering problem. To our knowledge the use of clustering techniques for intention recognition is novel, and this paper suggests it is promising.

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© 2012 Springer-Verlag Berlin Heidelberg

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Sadri, F., Wang, W., Xafi, A. (2012). Intention Recognition with Clustering. In: Paternò, F., de Ruyter, B., Markopoulos, P., Santoro, C., van Loenen, E., Luyten, K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_30

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  • DOI: https://doi.org/10.1007/978-3-642-34898-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34897-6

  • Online ISBN: 978-3-642-34898-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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