A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface

In muscle-computer interface (MCI), deep learning is a promising technology to build-up classifiers for recognizing gestures from surface electromyography (sEMG) signals. Motivated by the observation that a small group of muscles play significant roles in specific hand movements, we propose a multi-stream convolutional neural network (CNN) framework to improve the recognition accuracy of gestures by learning the correlation between individual...