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Tangent space alignment: Transfer learning for Brain-Computer Interface
Statistical variability of electroencephalography (EEG) between subjects and between sessions is a common problem faced in the field of Brain-Computer Interface (BCI). Such variability prevents the usage of pre-trained machine learning models and requires the use of a calibration for every new sessi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755175/ https://www.ncbi.nlm.nih.gov/pubmed/36530202 http://dx.doi.org/10.3389/fnhum.2022.1049985 |