It was applied in the control system of prosthesis hand, the detected signal was recognized by neural network, 6 action patterns can be classified, the success rate is above 95%.
将其应用于假肢手的控制系统中，通过神经网络进行动作模式识别，共识别了6个手部动作模式，识别成功率在95%以上。
It was applied in the control system of prosthesis hand, the detected signal was recognized by neural network, 6 action patterns can be classified, the success rate is above 95%.
将其应用于假肢手的控制系统中，通过神经网络进行动作模式识别，共识别了6个手部动作模式，识别成功率在95%以上。
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