Subject Independent Classification of Hand Gesture from sEMG using an Approximate Entropy Based Approach

• Published in: 2020 11th International Conference on Electrical and Computer Engineering (ICECE) pp. 238 - 241
• Main Authors: Paul, Joydip, Alam, Mohammad Tahmidul, Paul, Sudip
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.12.2020
• Subjects: Across subject; Approximate Entropy (ApEn); Automation; Discriminant analysis; Entropy; Performance evaluation; Prosthetics; Surface electromyogram (sEMG); Time-domain analysis; Usability; Within subject

Surface electromyogram (sEMG) signal is used as a convenient tool in prosthetics because of its accessibility and unobtrusiveness. However, because of the low signal quality, sEMG based prosthesis automation suffers from low accuracy. Besides, the force and neuromuscular stimulation related to a mov...