A Novel sEMG-FMG Combined Sensor Fusion Approach Based on an Attention-Driven CNN for Dynamic Hand Gesture Recognition

• Published in: IEEE transactions on instrumentation and measurement Vol. 74; pp. 1 - 13
• Main Authors: Oyemakinde, Tolulope Tofunmi, Kulwa, Frank, Peng, Xinhao, Liu, Yan, Cao, Jianglang, Deng, Xinping, Wang, Mengtao, Li, Guanglin, Samuel, Oluwarotimi Williams, Fang, Peng, Li, Xiangxin
• Format: Journal Article
• Language: English
• Published: New York IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Control methods; Control systems; Dynamic control; Dynamics; Electromyography; Force; Force myography (FMG); Gesture recognition; Hands; Information systems; Motors; Muscles; Muscular function; Pattern recognition; Prostheses; Sensors; Steady-state; steady-state signals; surface electromyogram (sEMG); Transient analysis; transient signals

Surface-electromyogram-based pattern recognition (sEMG-PR) is considered as a promising intuitive control method for multifunctional prostheses. However, sEMG-PR relies on the unreliable assumption that repeatable muscular contractions produce repeatable patterns of steady-state sEMG. In contrast, t...