Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI

This paper proposes a novel adaptive online-feedback methodology for Brain Computer Interfaces (BCI). The method uses ElectroEncephaloGraphic (EEG) signals and combines motor with speech imagery to allow for tasks that involve multiple degrees of freedom (DoF). The main approach utilizes the covaria...

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Detalles Bibliográficos
Autores principales: Nguyen, Chuong H., Karavas, George K., Artemiadis, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402657/
https://www.ncbi.nlm.nih.gov/pubmed/30840712
http://dx.doi.org/10.1371/journal.pone.0212620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402657/
https://www.ncbi.nlm.nih.gov/pubmed/30840712
http://dx.doi.org/10.1371/journal.pone.0212620

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