A Probabilistic Approach for Modeling Human Behavior in Smart Environments

Authors:
Christoph Burghardt;Thomas Kirste
Affiliations:
Department of Computer Science, University of Rostock, Rostock, Germany 18055;Department of Computer Science, University of Rostock, Rostock, Germany 18055
Venue:
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Year:
2009

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Abstract

In order to act intelligently, a smart environment needs to have a notion about its users. Hidden Markov models are especially suited to recognize for example the state of a meeting in a smart meeting room, as they can cope with the noisy and intermittent sensor values. However, modeling the user behavior as an HMM is challenging, because of the high degrees of freedom the users have when acting in such a smart environment. Therefore, we compare two methods that ease the automatic generation of HMM and express the human behavior.