A Voting-Enhanced Dynamic-Window-Length Classifier for SSVEP-Based BCIs

We present a dynamic window-length classifier for steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) that does not require the user to choose a feature extraction method or channel set. Instead, the classifier uses multiple feature extraction methods and channel sele...

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Detalles Bibliográficos
Autores principales: Habibzadeh, Hadi, Norton, James J. S., Vaughan, Theresa M., Soyata, Tolga, Zois, Daphney-Stavroula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496754/
https://www.ncbi.nlm.nih.gov/pubmed/34428141
http://dx.doi.org/10.1109/TNSRE.2021.3106876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496754/
https://www.ncbi.nlm.nih.gov/pubmed/34428141
http://dx.doi.org/10.1109/TNSRE.2021.3106876

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