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Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines
Surface Electromyography (sEMG) signal processing has a disruptive technology potential to enable a natural human interface with artificial limbs and assistive devices. However, this biosignal real-time control interface still presents several restrictions such as control limitations due to a lack o...
Autores principales: | Cene, Vinicius Horn, Tosin, Mauricio, Machado, Juliano, Balbinot, Alexandre |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515272/ https://www.ncbi.nlm.nih.gov/pubmed/31003524 http://dx.doi.org/10.3390/s19081864 |
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