Hand Gesture Recognition Using Input-Output Hidden Markov Models

Download PDF
Open Webpage

Sébastien Marcel, Olivier Bernier, Jean-Emmanuel Viallet, Daniel Collobert

Published: 2000, Last Modified: 15 Nov 2024FG 2000EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: A new hand gesture recognition method based on input-output hidden Markov models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted from a sequence of video images by tracking the skin-color blobs corresponding to the hand into a body-face space centered on the face of the user. Our goal is to recognize two classes of gestures: deictic and symbolic.