Whitening Technique Based on Gram–Schmidt Orthogonalization for Motor Imagery Classification of Brain–Computer Interface Applications

A novel whitening technique for motor imagery (MI) classification is proposed to reduce the accuracy variance of brain–computer interfaces (BCIs). This method is intended to improve the electroencephalogram eigenface analysis performance for the MI classification of BCIs. In BCI classification, the...

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Detalles Bibliográficos
Autores principales: Choi, Hojong, Park, Junghun, Yang, Yeon-Mo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413233/
https://www.ncbi.nlm.nih.gov/pubmed/36015803
http://dx.doi.org/10.3390/s22166042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413233/
https://www.ncbi.nlm.nih.gov/pubmed/36015803
http://dx.doi.org/10.3390/s22166042

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