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EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living
The state-of-theart classification accuracy on five FAABOS categories is 83:21% by using the SVM classifier with the third order polynomial kernel using energy feature and auto regressive feature set ensemble.
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