Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach
https://www.embs.org/tnsre/wp-content/uploads/sites/15/2020/06/9062601.png
874
501
Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
Understanding and classifying electromyogram (EMG) signals is of significance for dexterous prosthetic hand control, sign languages, grasp recognition, human-machine interaction, etc.. The existing research of EMG-based hand gesture classification faces…
read more