Localisation d'habitant dans un environnement perceptif non visuel par propagation d'activations multisource

In this paper, an approach to locate a person using non visual sensors in a pervasive environment is presented. The information extracted from the sensors (events) gives uncertain evidence about the location of a person. These sources are combined using a dynamic network to represent two levels of location hypotheses and using an adapted spreading activation method that considers the temporal dimension to be able to deal with evidence that expire. The preliminary results on an actual record showed that an accuracy of 90% can be reached using several uncertain sources. Mots-cles : reseaux dynamiques, propagation d’activation, fusion de donnees temporelles, Intelligence Artificielle, bâtiment intelligent

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