Stable myoelectric control of a hand prosthesis using non-linear incremental learning

Stable myoelectric control of hand prostheses remains an open problem. The only successful human–machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to remove these limitations, but their performanc...

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Detalles Bibliográficos
Autores principales: Gijsberts, Arjan, Bohra, Rashida, Sierra González, David, Werner, Alexander, Nowak, Markus, Caputo, Barbara, Roa, Maximo A., Castellini, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935121/
https://www.ncbi.nlm.nih.gov/pubmed/24616697
http://dx.doi.org/10.3389/fnbot.2014.00008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935121/
https://www.ncbi.nlm.nih.gov/pubmed/24616697
http://dx.doi.org/10.3389/fnbot.2014.00008

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