Sensor Data Fusion Using DSm Theory for Activity Recognition under Uncertainty in Home-Based Care
AINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications
Behaviour Recognition from Sensory Streams in Smart Environments
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases
Journal of Ambient Intelligence and Smart Environments
IE '10 Proceedings of the 2010 Sixth International Conference on Intelligent Environments
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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.