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flag Scientists develop new hand gesture recognition model with 96.92% accuracy, aiding prosthetic control.

flag Scientists at Shanghai Jiao Tong University have created a new model for recognizing hand gestures that uses advanced neural network technology to process muscle signals into two-dimensional images. flag This method, called cwCST-CNN, significantly improves classification accuracy to 96.92%, surpassing existing methods. flag It has promising applications in prosthetic control and rehabilitation training.

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