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A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).

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taowucheng1026/CNN-LDA-SVM-KNN-for-EMG

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CNN-LDA-SVM-KNN-for-EMG

A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).

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A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).

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