An experimental study on upper limb position invariant EMG signal classification based on deep neural network

The classification of surface electromyography (sEMG) signal has an important usage in the man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of freedom. The vital research aspects in this field mainly focus on data acquisition, pre-processing, feature extraction and classification along with their feasibility in practical scenarios regarding implementation and reliability. In this article, we have...