| Autor: |
Pomponio, Laura, Le Goc, Marc, Anfosso, Alain, Pascual, Eric |
| Zdroj: |
International Journal of E-Health & Medical Communications (IJEHMC); July 2012, Vol. 3 Issue: 3 p12-28, 17p |
| Abstrakt: |
Defining activity models in order to monitor human behavior in smart environments is one of the major issues at the moment of building systems of activity supervision for diagnosis, prediction and control. For the purpose of addressing this problem, this paper proposes a general theoretical approach based on the use of a Knowledge Engineering methodology and a Machine Learning process, which are funded on a general theory of dynamic process modeling, the Timed Observation Theory. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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