In this paper, important frequency bands of electromyography(EMG) signals are selected by using a genetic algorithm. The EMG signals based on 7 motions at a wrist are measured and recognized. We perform recognition experiments of EMG signals using the selected frequency bands by a neural network. We show the effectiveness of this method by means of computer simulations.
