EMG dataset augmentation approaches for improving the multi-DOF wrist movement regression accuracy and robustness

Published: Dec 1, 2018
Abstract
Benefiting from the powerful learning capacity of deep learning (DP), a general model for predicting 3-DOF wrist movements could achieve good prediction accuracy for those subjects even not involved in the training. This paper tends to verify this assumption. Since the quantity of training dataset in DP largely influences the model's performance, a limited dataset collected from a number of subjects should be extended first through some...
Paper Details
Title
EMG dataset augmentation approaches for improving the multi-DOF wrist movement regression accuracy and robustness
Published Date
Dec 1, 2018
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