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Human activity recognition in intelligent home environments: an evolving approach

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URI: https://hdl.handle.net/10016/10550
ISBN: 978-1-60750-605-8 (print)
ISBN: 978-1-60750-606-5 (online)
DOI: 10.3233/978-1-60750-606-5-1047
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human_iglesias_ECAI_2010_ps.pdf (86.63 KB)
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2010
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IOS Press
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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.
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Proceeding of: European Conference on Artificial Intelligence (ECAI 2010). Lisbon, Portugal, August, 16th - 20th, 2010.
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ECAI 2010, 19th European Conference on Artificial Intelligence, IOS Press, pp. 1047-1048
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DI - CAOS - Comunicaciones en Congresos y otros eventos
DI - CAOS - Capítulos de Monografías