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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |