A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures
نویسندگان
چکیده
In this paper, we present a hybrid grammar formalism designed to learn structured models of natural iconic gesture performances that allow for compressed representation and robust recognition. We analyze a dataset of iconic gestures and show how the proposed Featurebased Stochastic Context-Free Grammar (FSCFG) can generalize over both structural and feature-based variations among different gesture performances.
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