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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Detalhes bibliográficos
Main Authors: Yan Chen, Wenlong Hang, Shuang Liang, Xuejun Liu, Guanglin Li, Qiong Wang, Jing Qin, Kup-Sze Choi
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020-11-01
Colecção:Frontiers in Neuroscience
Assuntos:
motor imagery
brain-computer interface
electroencephalography
support matrix machine
transfer learning
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnins.2020.606949/full
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