Hand gesture recognition model based on surface EMG
Fan Chen, Fuhua Huang, Yuanyuan Yan, Ye Liu, Junzi Zhang, Xiaoqi Zhang · 2023
Four channels of surface EMG signals were collected from six gesture movements, and their time-domain and time-frequency domain features were extracted. Principal component analysis is used to reduce the dimension of features. For the dimension-reduced features, the decision tree is used to build a gesture recognition model. The experimental results show that the overall accuracy of the model for classifying six kinds of actions is more than 97%, which has good application value.