Distributed data fusion applied to human gesture measurement
Résumé
In this paper, a gesture recognition system based on the fusion of measurements issued from different kind of sources is presented. Sources are a dataglove measuring the hand gestures and a video camera measuring the general arm gestures. The measurements used are partially complementary and partially redundant. The application is distributed on intelligent cooperating sensors.
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Origine | Fichiers produits par l'(les) auteur(s) |
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Format | Autre |
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