A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction

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 present, the convolutional neural network (CNN...

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