一个很小手势识别工具. 这是我读Master的时候一个小作业. 我是用block FFT 来写的.70 -80 识别率.,A gesture recognition tool.It was a modle assigment, when I was doing my Master degree. I used block FFT. The recognition rate is round 70-80

HMM的c实现，对理解HMM很有用，尤其是动态手势识别中，手运动的建模基本都基于H-HMM of c realization of HMM is useful for understanding, especially in the dynamic gesture recognition, hand movements are based on modeling the basic H

手势分类器设计,很好很强大，太强大了，真的-Gesture classifier design, very good very strong, too strong, and true

一个手势识别程序，使用有监督的神经网络实现，用户可以在窗口区域内用鼠标模拟手势，程序可以自动识别，而且可以自定义手势-a gesture recognition program based on Neural Network,the gestrue can be simulated by mouse move, furthermore, you can also define the gesture by yourself