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Correlating sensors and activities in an intelligent environment: A logistic regression approach

By Fahd Al-Bin-Ali, Prasad Boddupalli, Nigel Davies and Adrian Friday

Abstract

An important problem in intelligent environments is how the system can identify and model users' activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing the critical set of sensors that identifies a specific activity from others that do not. We compare several correlation techniques and show that logistic regression is a suitable solution. Finally, we describe our approach and report preliminary results

Publisher: Springer-Verlag,
Year: 2003
OAI identifier: oai:eprints.lancs.ac.uk:12284
Provided by: Lancaster E-Prints

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