AAAI Publications, Twenty-Eighth AAAI Conference on Artificial Intelligence

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A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures
Amir Sadeghipour, Stefan Kopp

Last modified: 2014-06-21


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 Feature-based Stochastic Context-Free Grammar (FSCFG) can generalize over both structural and feature-based variations among different gesture performances.


Machine Learning; Classification; Gesture recognition; Feature-based Stochastic Context-free Grammar

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