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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| 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 |