MIC-Laboratory / CNN-HD-sEMG-Classifier
This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition is based on high-density surface electromyography (HD-sEMG) signals from two datasets: CSL HD-sEMG and ICE Lab HD-sEMG.
☆10Updated 4 months ago
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