卷积神经网络结合子域适应的低采样率肌电手势识别
周雕,熊馨,周建华,宗静,张琪

Convolutional neural network combined with subdomain adaptation for low sampling rate EMG-based gesture recognition
Diao ZHOU,Xin XIONG,Jianhua ZHOU,Jing ZONG,Qi ZHANG
表 5 不同权重参数下52种手势的识别准确率
Tab.5 Recognition accuracy of 52 gestures with different weight parameters
$ \omega $Acc/%$ \omega $Acc/%
DB1DB5DB1DB5
0.181.4675.680.681.9577.07
0.281.8376.370.781.9876.99
0.381.8976.710.882.0176.99
0.481.8476.940.981.9976.93
0.581.9877.061.081.9676.75