A Comparison of Classification Techniques to Predict Brain-Computer Interfaces Accuracy Using Classifier-Based Latency Estimation†

P300-based Brain-Computer Interface (BCI) performance is vulnerable to latency jitter. To investigate the role of latency jitter on BCI system performance, we proposed the classifier-based latency estimation (CBLE) method. In our previous study, CBLE was based on least-squares (LS) and stepwise line...

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Detalles Bibliográficos
Autores principales: Mowla, Md Rakibul, Gonzalez-Morales, Jesus D., Rico-Martinez, Jacob, Ulichnie, Daniel A., Thompson, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602195/
https://www.ncbi.nlm.nih.gov/pubmed/33066374
http://dx.doi.org/10.3390/brainsci10100734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602195/
https://www.ncbi.nlm.nih.gov/pubmed/33066374
http://dx.doi.org/10.3390/brainsci10100734

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