A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction
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DOI: 10.1109/tim.2023.3273651
Abstract: As a unique physiological electrical signal in the human body, surface electromyography (sEMG) signals always include human movement intention and muscle state. Through the collection of sEMG signals, different gestures can be effectively recognized. At… read more here.
Keywords: recognition; transformer hybrid; network; cnn transformer ... See more keywords