Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot

People with severe disabilities require assistance to perform their routine activities; a Human–Machine Interface (HMI) will allow them to activate devices that respond according to their needs. In this work, an HMI based on electrooculography (EOG) is presented, the instrumentation is placed on por...

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Detalles Bibliográficos
Autores principales: Pérez-Reynoso, Francisco David, Rodríguez-Guerrero, Liliam, Salgado-Ramírez, Julio César, Ortega-Palacios, Rocío
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434373/
https://www.ncbi.nlm.nih.gov/pubmed/34502773
http://dx.doi.org/10.3390/s21175882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434373/
https://www.ncbi.nlm.nih.gov/pubmed/34502773
http://dx.doi.org/10.3390/s21175882

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