Abstract
In this paper we describe context awareness for a smart home using previously collected qualitative data. Based on this, context experts estimate to what extent a behavior is likely to occur in the given situation. The experts’ estimations are then combined using Dempster-Shafer Theory. The result can be used to (a) predict the most likely behavior and (b) to verify to what extent a behavior that has been detected is usual in the given situation.
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Steinhauer, H.J., Marsland, S., Guesgen, H.W. (2012). Context Awareness for a Smart Environment Utilizing Context Maps and Dempster-Shafer Theory. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_42
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DOI: https://doi.org/10.1007/978-3-642-30779-9_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30778-2
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