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Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Antonio Iglesias, Jose and Angelov, Plamen and Ledezma, Agapito and Sanchis, Araceli (2010) Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. In: ECAI 2010 - 19th European Conference on Artificial Intelligence. IOS Press, Amsterdam, pp. 1047-1048. ISBN 978-1-60750-606-5

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Abstract

In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These sequences are treated using statistical methods in order to discover activity patterns. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Systems.

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: 58593
Deposited By: ep_importer_pure
Deposited On: 27 Sep 2012 10:23
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 01:39
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/58593

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