Hand Gesture Recognition Using Input-Output Hidden Markov Models

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.

• Type: Conference
• Year: 2000
• Where: FGR
• Authors: Sébastien Marcel, Olivier Bernier, Jean-Emmanuel Viallet, Daniel Collobert
• Keywords: Biometrics, Body– Face Space, FGR 2000, Gesture Recognition Method, Output Hidden Markov