WRIST EMG PATTERN RECOGNITION SYSTEM BY NEURAL NETWORKS AND GENETIC ALGORITHMS

摘要

In this paper, we aim for construction of a high-speed and high-accurate EMG recognition system using Fast Fourier Transform (FFT) for feature extraction, simple-PCA (SPCA) for feature compression, and a neural network (NN) for recognition. Furthermore, we reduce the number of units in an input layer of NN using genetic algorithms (GA) for EMG. From results of computer simulation, it is shown that our approach is effective for improvement in recognition accuracy and speed.