HIGHLIGHTS
- who: -sEMG et al. from the (UNIVERSITY) have published the research work: A BERT based Method for Continuous Estimation of Cross-subject Hand Kinematics from Surface Electromyographic Signals, in the Journal: (JOURNAL)
- what: The authors propose a method based on Bidirectional Encoder Representation from Transformers (BERT) structure to predict the movement of hands from the root mean square (RMS) feature of the signal following u00b5-law normalization. Gradient Harmonizing Mechanism (GHM) and Online Hard Samples Mining (OHEM) are applied to make the models better learn from hard samples, and a smooth layer is applied to . . .
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