arxiveess.SP2026-07-23
Leveraging Agonistic-Antagonistic Coactivation in Single-Grid HDsEMG for Hand Gesture Recognition
Firas Darwish, Dhiyaa Al Jorf, Costanza Armanini, Eion Tyacke, Farah E. Shamout
Surface Electromyography (sEMG) is critical for intention prediction in human-computer interfaces, such as for prosthetics control. Although deep learning models for Hand Gesture Recognition (HGR) yield excellent results, they impose high computational and hardware demands. This…