An evaluation of transfer learning models in EEG-based authentication

Electroencephalogram(EEG)-based authentication has received increasing attention from researchers as they believe it could serve as an alternative to more conventional personal authentication methods. Unfortunately, EEG signals are non-stationary and could be easily contaminated by noise and artifac...

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Detalles Bibliográficos
Autores principales: Yap, Hui Yen, Choo, Yun-Huoy, Mohd Yusoh, Zeratul Izzah, Khoh, Wee How
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400490/
https://www.ncbi.nlm.nih.gov/pubmed/37535168
http://dx.doi.org/10.1186/s40708-023-00198-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400490/
https://www.ncbi.nlm.nih.gov/pubmed/37535168
http://dx.doi.org/10.1186/s40708-023-00198-4

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