Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI

A long calibration procedure limits the use in practice for a motor imagery (MI)-based brain-computer interface (BCI) system. To tackle this problem, we consider supervised and semisupervised transfer learning. However, it is a challenge for them to cope with high intersession/subject variability in...

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Detalles Bibliográficos
Autores principales: Xu, Yilu, Yin, Hua, Yi, Wenlong, Huang, Xin, Jian, Wenjuan, Wang, Canhua, Hu, Ronghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592202/
https://www.ncbi.nlm.nih.gov/pubmed/36299440
http://dx.doi.org/10.1155/2022/1603104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592202/
https://www.ncbi.nlm.nih.gov/pubmed/36299440
http://dx.doi.org/10.1155/2022/1603104

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