A benchmark of existing EMG feature descriptors and classifiers, reporting 97% top accuracy on Grabmyo and 94.95% on FORS-EMG.
A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks,
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Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition
A benchmark of existing EMG feature descriptors and classifiers, reporting 97% top accuracy on Grabmyo and 94.95% on FORS-EMG.