Decoding sEMG Under Non-Ideal Conditions Toward Robust Muscle-Machine Interface Control

The evaluation of systems under non-ideal conditions is a research problem, particularly in robotic applications for the rehabilitation of people with disabilities. Accordingly, the evaluation of algorithmic strategies for robustness validation under different non-ideal conditions is a current chall...

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Vydané v:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems s. 4115 - 4120
Hlavní autori:	Guerrero-Mendez, C.D., Blanco-Diaz, C.F., Lopez-Delis, A., Bastos-Filho, T., Andrade, R.M.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2023
Predmet:	Extreme learning machines Fatigue Finance Machine learning Machine learning algorithms Muscles Scholarships
ISSN:	2153-0866
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