Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks

The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shallow artificial neural networks using spectral EEG features as input representation. We investigated the impact of the features derived from different frequency bands and their combination on verificat...

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Detalles Bibliográficos
Autores principales: Plucińska, Renata, Jędrzejewski, Konrad, Waligóra, Marek, Malinowska, Urszula, Rogala, Jacek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332713/
https://www.ncbi.nlm.nih.gov/pubmed/35898033
http://dx.doi.org/10.3390/s22155529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332713/
https://www.ncbi.nlm.nih.gov/pubmed/35898033
http://dx.doi.org/10.3390/s22155529

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