Combining multiple features for error detection and its application in brain–computer interface

BACKGROUND: Brain–computer interface (BCI) is an assistive technology that conveys users’ intentions by decoding various brain activities and translating them into control commands, without the need of verbal instructions and/or physical interactions. However, errors existing in BCI systems affect t...

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Detalles Bibliográficos
Autores principales: Tong, Jijun, Lin, Qinguang, Xiao, Ran, Ding, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743193/
https://www.ncbi.nlm.nih.gov/pubmed/26846163
http://dx.doi.org/10.1186/s12938-016-0134-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743193/
https://www.ncbi.nlm.nih.gov/pubmed/26846163
http://dx.doi.org/10.1186/s12938-016-0134-9

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