Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification

The motor imagery (MI)-based brain computer interface (BCI) is an intuitive interface that enables users to communicate with external environments through their minds. However, current MI-BCI systems ask naïve subjects to perform unfamiliar MI tasks with simple textual instruction or a visual/audito...

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Detalles Bibliográficos
Autores principales: Lee, Po-Lei, Chen, Sheng-Hao, Chang, Tzu-Chien, Lee, Wei-Kung, Hsu, Hao-Teng, Chang, Hsiao-Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952173/
https://www.ncbi.nlm.nih.gov/pubmed/36829681
http://dx.doi.org/10.3390/bioengineering10020186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952173/
https://www.ncbi.nlm.nih.gov/pubmed/36829681
http://dx.doi.org/10.3390/bioengineering10020186

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