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Recognition of Dynamic Hand Gesture Based on SCHMM Model

机译:基于SCHMM模型的动态手势识别。

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摘要

Dynamic gesture recognition is a key issue for visual gesture-based human-computer interaction. In this paper, a dynamic gesture recognition method is proposed based on SCHMM to solve the problem, which DHMM method is high speed and low rate and CHMM method is low speed and high rate. And the gesture clustering analysis, Baum Welch algorithm of parametric estimation and Viterbi recognition algorithm is studied. Experiment result is given to show the balance performance of recognition rate and speed and the algorithm is satisfied for applications.
机译:动态手势识别是基于视觉手势的人机交互的关键问题。为了解决该问题,本文提出了一种基于SCHMM的动态手势识别方法,其中DHMM方法是高速度低速率,而CHMM方法是低速度高速率。并对手势聚类分析,Baum Welch参数估计算法和Viterbi识别算法进行了研究。实验结果表明,该算法在识别率和速度上达到了平衡,算法满足实际应用。

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