Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim

Electromyographic signals have been used with low-degree-of-freedom prostheses, and recently with multifunctional prostheses. Currently, they are also being used as inputs in the human–computer interface that controls interaction through hand gestures. Although there is a gap between academic public...

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Detalles Bibliográficos
Autores principales: Amezquita-Garcia, Jose, Bravo-Zanoguera, Miguel, Gonzalez-Navarro, Felix F., Lopez-Avitia, Roberto, Reyna, M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144461/
https://www.ncbi.nlm.nih.gov/pubmed/35632146
http://dx.doi.org/10.3390/s22103737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144461/
https://www.ncbi.nlm.nih.gov/pubmed/35632146
http://dx.doi.org/10.3390/s22103737

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