A Custom EOG-Based HMI Using Neural Network Modeling to Real-Time for the Trajectory Tracking of a Manipulator Robot

Although different physiological signals, such as electrooculography (EOG) have been widely used in the control of assistance systems for people with disabilities, customizing the signal classification system remains a challenge. In most interfaces, the user must adapt to the classification paramete...

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Detalles Bibliográficos
Autores principales: Perez Reynoso, Francisco D., Niño Suarez, Paola A., Aviles Sanchez, Oscar F., Calva Yañez, María B., Vega Alvarado, Eduardo, Portilla Flores, Edgar A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550784/
https://www.ncbi.nlm.nih.gov/pubmed/33117141
http://dx.doi.org/10.3389/fnbot.2020.578834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550784/
https://www.ncbi.nlm.nih.gov/pubmed/33117141
http://dx.doi.org/10.3389/fnbot.2020.578834

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