|
Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Investigación >
Departamentos >
Departamento de Informática >
Grupo de Control, Aprendizaje y Optimización de Sistemas (CAOS) >
DI - CAOS - Comunicaciones en Congresos y otros eventos >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/10550
|
| Title: | Human activity recognition in intelligent home environments: an evolving approach |
| Author(s): | Iglesias, José Antonio
Angelov, Plamen
Ledezma, Agapito
Sanchis, Araceli |
| Publisher: | IOS Press |
| Issued date: | 2010 |
| Citation: | ECAI 2010, 19th European Conference on Artificial Intelligence, IOS Press, pp. 1047-1048 |
| URI: | http://hdl.handle.net/10016/10550 |
| ISBN: | 978-1-60750-605-8 (print)
978-1-60750-606-5 (online) |
| DOI: | http://dx.doi.org/10.3233/978-1-60750-606-5-1047 |
| Description: | Proceeding of: European Conference on Artificial Intelligence (ECAI 2010). Lisbon, Portugal, August, 16th - 20th, 2010. |
| 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. |
| Review: | PeerReviwed |
| Serie / Nº.: | Frontiers in artificial intelligence and applications, vol. 215 |
| Publisher version: | http://www.booksonline.iospress.nl/Content/View.aspx?piid=17932 |
| Rights: | © The authors and IOS Press. |
| Appears in Collections: | DI - CAOS - Capítulos de Monografías
DI - CAOS - Comunicaciones en Congresos y otros eventos
|
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.
|
