Random Channel Masks for Regularization of Least Squares-Based Finger EMG-Force Modeling to Improve Cross-Day Performance

Estimating the finger forces from surface electromyography (sEMG) is essential for diverse applications (e.g., human-machine interfacing). The performance of pre-trained sEMG-force models degenerates significantly when applied on a second day, due to the large cross-day variation of sEMG characteris...

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Hlavní autoři:	Xinyu Jiang, Xiangyu Liu, Jiahao Fan, Chenyun Dai, Edward A. Clancy, Wei Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Témata:	HDsEMG EMG-force modeling regularization
On-line přístup:	https://ieeexplore.ieee.org/document/9841608/
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