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

Al-Bin-Ali, Fahd and Boddupalli, Prasad and Davies, Nigel and Friday, Adrian (2003) Correlating sensors and activities in an intelligent environment: A logistic regression approach. In: Ambient Intelligence. Springer-Verlag,, pp. 318-333.

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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.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 12284
Deposited By: ep_importer_comp
Deposited On: 15 May 2008 10:04
Refereed?: Yes
Published?: Published
Last Modified: 18 Aug 2019 23:23
URI: https://eprints.lancs.ac.uk/id/eprint/12284

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