【摘要】 利用数据手套CAS Glove作为输入设备 ,提出了一种基于模糊神经网络的中国手语单手静态词汇的识别方法 :首先利用经验知识为每个词汇创建模糊规则 ,然后通过学习确定各模糊子集隶属函数中的参数 .对于参数的学习 ,提出了一种适用于分类器的可微经验风险函数 ,该函数能够有效地利用梯度下降法进行最小化 .在实验中通过比较证实了该方法的有效性和可靠性更多还原

【Abstract】 In this paper, a novel recognition method of single hand static words of Chinese Sign Language based on fuzzy neuro network is introduced. First, the fuzzy reasoning rules and the network structure are established using empirical knowledge. Then the membership function parameters for each fuzzy subset are obtained by learning. For the learning process, a new kind of empirical risk function is proposed which is differentiable and can be minimized by gradient descent strategy. This method is compared with others through experiments and its validity and reliability are confirmed.更多还原