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Sign language is used for communicating to people with hearing difficulties. Recognition of a sign language image sequence is challenging because of the variety of hand shapes and hand motions. We propose a method to automatically construct a transitional structure(topology) of a Hidden Markov Model(HMM) for recognizing sign language words. Unlike conventional HMM, the constructed topology has branches...
Real-time gesture recognition is mandatory for gesture based human-robot natural interaction. Several glove-based approaches are introduced for this purpose, but they are un-natural and force user to wear some cumbersome glove. This paper presents a vision-based gesture recognition method for human-robot interface. Hand poses and face are detected using multiple feature-based template matching techniques...
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