A Two-Level Approach for Modeling and Recognition of Hand Gesture
نویسندگان
چکیده
The main characteristics of human hand gesture can be summarized by its dynamic, multi-attribute property. Previous research for gesture pattern interpretation have shown the possibility for the recognition of local aspects of hand gesture. But global framework for finding the whole interpretation from the local aspects has yet to be provided. In this article, we proposed a two-level approach using colored Petri nets(CPN) intercommunicating with hidden Markov models(HMM) based low-level continuous recognition. It provides the integral modeling and recognition power for hand gestural interaction.
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