The Application of the ICA and the Wavelet Entropy in Motion Recognition
Ren Xiaome · Beijing shengwu yixue gongcheng · 2006
For the electromyography(EMG) processing,the motions recognition is a hot domain.The independent component analysis(ICA) is used to pre-process and decouple the EMG signals.The wavelet entropy of the EMG signals are executed as the characterization vectors.Using the characterization vectors as the input and training the neural networks,we can get an excellent classifier with good performance.The result shows that the motions pattern recognition with signals pre-processed by ICA is better than that before decoupling the EMG.