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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
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 12284
    Deposited By: ep_importer_comp
    Deposited On: 15 May 2008 11:04
    Refereed?: No
    Published?: Published
    Last Modified: 20 Nov 2017 12:58
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/12284

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