Deep Residual Network With Channel Attention for Improving Hand Gesture Recognition With Surface Electromyography Signal

Hand gesture recognition based on surface electromyography (sEMG) is a key enabling technology for human–computer interaction and intelligent prosthetic devices. Despite its importance, consistent and accurate recognition is difficult to achieve. This difficulty arises from the non-stationary...

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Κύριοι συγγραφείς:	Sakorn Mekruksavanich, Narit Hnoohom, Anuchit Jitpattanakul
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2026-01-01
Σειρά:	IEEE Access
Θέματα:	Channel attention mechanism deep learning hand gesture recognition residual bidirectional GRU surface electromyography (sEMG)
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11569506/
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