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S. A. Zendehbad

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Open access 2026

GestNet: An Adaptive Approach to Multi-Modal Gesture Recognition With Semi-Supervised Learning Through EEG and sEMG Fusion

The ability to reliably decode upper-limb motor intent from biosignals is a key requirement for next-generation Brain-Computer Interfaces (BCIs) and assistive neurorehabilitation systems. In this paper, the authors present GestNet, a semi-supervised deep learning framework for combining surface Electromyography (sEMG)...

Abdollah PourMottaghi, S. A. Zendehbad · 0 citations

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