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Discovering Models of Human's Behavior from Sensor's Data
Laura Pomponio, Marc Le Goc, Eric Pascual, Alain Anfosso
17 - 28
10.3233/978-1-60750-795-6-17
Ambient Intelligence and Smart Environments
Volume 10: Workshop Proceedings of the 7th International Conference on Intelligent Environments
Abstract

The human activity monitoring in a smart environment requires to compare human behavior registered through sensors with human activity models. However, due to the erratic nature of human behavior, the building of these models is one of the major issues to be overcome for those who work with intelligent environment. This work proposes a general theoretical approach to define human activity models, based on the combination of a Knowledge Engineering methodology and a Machine Learning process which are both funded on a general theory of dynamic process modeling.

$35.00 / €27.50 / £22.00
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