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 978-1-60750-606-5Full text not available from this repository.
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|
|Deposited On:||27 Sep 2012 10:23|
|Last Modified:||20 Jan 2017 02:16|
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