A Novel Transfer Support Matrix Machine for Motor Imagery-Based Brain Computer Interface

In recent years, emerging matrix learning methods have shown promising performance in motor imagery (MI)-based brain-computer interfaces (BCIs). Nonetheless, the electroencephalography (EEG) pattern variations among different subjects necessitates collecting a large amount of labeled individual data...

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Detalles Bibliográficos
Autores principales: Chen, Yan, Hang, Wenlong, Liang, Shuang, Liu, Xuejun, Li, Guanglin, Wang, Qiong, Qin, Jing, Choi, Kup-Sze
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/PMC7719793/
https://www.ncbi.nlm.nih.gov/pubmed/33328874
http://dx.doi.org/10.3389/fnins.2020.606949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719793/
https://www.ncbi.nlm.nih.gov/pubmed/33328874
http://dx.doi.org/10.3389/fnins.2020.606949

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