Motion Classifier of Forearm Using Deep Neural Network Based on EMG

Abstract

As a motion classifier of the myoelectric prosthesis, neural network is usually used. In order to realize intuitive operation, improvement of identification rate of the motion classifier is necessary. In the field of the machine learning, deep neural network has attracted the attention, A study of the past of the machine learning , feature values which encourage the learning when learning or classifying was given by human. On the other hand in the deep neural network, it was extracted automatically. In this research, four layered neural network is applied as a motion classifier of human's forearm. Relationship between each layers of the four layered NN was analyzed visually.