Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- an...

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Detalles Bibliográficos
Autores principales: Waytowich, Nicholas R., Lawhern, Vernon J., Bohannon, Addison W., Ball, Kenneth R., Lance, Brent J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5032911/
https://www.ncbi.nlm.nih.gov/pubmed/27713685
http://dx.doi.org/10.3389/fnins.2016.00430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5032911/
https://www.ncbi.nlm.nih.gov/pubmed/27713685
http://dx.doi.org/10.3389/fnins.2016.00430

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