A fuzzy granular logistic regression algorithm for sEMG-based cross-individual prosthetic hand gesture classification

Prosthetic systems are used to improve the quality of life of post-amputation patients, and research on surface electromyography (sEMG)-based gesture classification has yielded rich results. Nonetheless, current gesture classification algorithms focus on the same subject, and cross-individual classi...

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Vydané v:	Journal of neural engineering Ročník 20; číslo 2
Hlavní autori:	Diao, Yanan, Chen, Qiangqiang, Liu, Yan, He, Linjie, Sun, Yue, Li, Xiangxin, Chen, Yumin, Li, Guanglin, Zhao, Guoru
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England IOP Publishing 01.04.2023
Predmet:	Adult Algorithms cross-individual gesture classification Electromyography - methods fuzzy granulation Gestures Hand Humans Logistic Models logistic regression prosthetic systems Quality of Life surface electromyography prosthetic systems surface electromyography logistic regression cross-individual gesture classification fuzzy granulation
ISSN:	1741-2560, 1741-2552, 1741-2552
On-line prístup:	Získať plný text
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