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。
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.
出处
《计算机科学》
CSCD
北大核心
2011年第1期251-252,共2页
Computer Science
基金
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
