计算机科学 ›› 2011, Vol. 38 ›› Issue (1): 251-252.

• 人工智能 • 上一篇    下一篇

基于HMM方法的动态手势识别技术的改进

于美娟,马希荣   

  1. (天津师范大学计算机与信息工程学院 天津300387)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金项目(60970060/F020508),天津市科技支撑重点项目(09ZCKFGX00500)资助。

Improvement of Dynamic Hand Gesture Recognition Technology Based on HMM Method

YU Mei-juan,MA Xi-rong   

  • Online:2018-11-16 Published:2018-11-16

摘要: 为了提高基于HMM方法的动态手势识别的效率和准确性,针对HMM方法在训练手势中计算的高复杂性,提出了一种HMM算法和动态规划的算法相结合的方法,对HMM算法中的训练阶段进行了改进,增强了人机交互的准确性与实时性。

关键词: 动态手势识别,隐马尔可夫模型,动态规划

Abstract: In order to enhance the efficiency and the accuracy of dynamic hand gesture recognition based on HMM method, for the computation's high complexity of HMM method in the training stage, a new HMM algorithm based on the dynamic programming was presented. It makes improvement to the HMM algorithm's training stage, and will enhance the accuracy and timeliness in human-robot interaction.

Key words: Dynamic hand gesture recognition, HMM, Dynamic programming

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