cVEP Training Data Validation—Towards Optimal Training Set Composition from Multi-Day Data

This paper investigates the effects of the repetitive block-wise training process on the classification accuracy for a code-modulated visual evoked potentials (cVEP)-based brain–computer interface (BCI). The cVEP-based BCIs are popular thanks to their autocorrelation feature. The cVEP-based stimuli...

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Detalles Bibliográficos
Autores principales: Stawicki, Piotr, Volosyak, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870265/
https://www.ncbi.nlm.nih.gov/pubmed/35203998
http://dx.doi.org/10.3390/brainsci12020234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870265/
https://www.ncbi.nlm.nih.gov/pubmed/35203998
http://dx.doi.org/10.3390/brainsci12020234

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