Iglesias Martínez, José AntonioAngelov, PlamenLedezma Espino, Agapito IsmaelSanchis de Miguel, María Araceli2011-03-222011-03-222011-03-222010ECAI 2010, 19th European Conference on Artificial Intelligence, IOS Press, pp. 1047-1048978-1-60750-605-8 (print)978-1-60750-606-5 (online)https://hdl.handle.net/10016/10550Proceeding of: European Conference on Artificial Intelligence (ECAI 2010). Lisbon, Portugal, August, 16th - 20th, 2010.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.application/pdftext/plaineng© The authors and IOS Press.conference paperInformática10.3233/978-1-60750-606-5-1047open access10471048ECAI 2010, 19th European Conference on Artificial Intelligence, IOS Press215