CNN-Based Personal Identification System Using Resting State Electroencephalography

As a biometric characteristic, electroencephalography (EEG) signals have the advantages of being hard to steal and easy to detect liveness, which attract researchers to study EEG-based personal identification technique. Among different EEG protocols, resting state signals are the most practical opti...

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Detalles Bibliográficos
Autores principales: Fan, Yongdong, Shi, Xiaoyu, Li, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687816/
https://www.ncbi.nlm.nih.gov/pubmed/34938327
http://dx.doi.org/10.1155/2021/1160454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687816/
https://www.ncbi.nlm.nih.gov/pubmed/34938327
http://dx.doi.org/10.1155/2021/1160454

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