Regression convolutional neural network for improved simultaneous EMG control

Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neural network (CNN) is proposed as a substitute of conventional regression models that use purposefully designed features.The usability of the regression CNN model is validated for the first time, using an online...