【摘要】 本文通过对人手结构和手关节运动的分析 ,建立了手模型及其相应的数据结构 .由数据手套的数据接口获取各指节的曲伸角度 ,建立手势标准样本库 ,并提出了采用模糊神经网络进行手势识别 ,用手势标准样本加以训练 ,使其具备识别手势的功能 .试验结果表明 ,系统手势识别功能较为理想更多还原

【Abstract】 In this paper, a hand model and the correspondin g data structure has been studied based on the analysis of hand structure and jo ints motions. with the joint motion angles getting from the digital glove’s inte rface, a standard gesture base has also been established. Using a fuzzy neural n etwork being trained with the standard gesture base, gesture can be recognized. Experiment results show that the network can recognize the gesture very well.更多还原