Electroencephalogram-Based Subject Matching Learning (ESML): A Deep Learning Framework on Electroencephalogram-Based Biometrics and Task Identification

An EEG signal (Electroencephalogram) is a bioelectric phenomenon reflecting human brain activities. In this paper, we propose a novel deep learning framework ESML (EEG-based Subject Matching Learning) using raw EEG signals to learn latent representations for EEG-based user identification and tack cl...

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Detalles Bibliográficos
Autores principales: Xu, Jin, Zhou, Erqiang, Qin, Zhen, Bi, Ting, Qin, Zhiguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525823/
https://www.ncbi.nlm.nih.gov/pubmed/37754043
http://dx.doi.org/10.3390/bs13090765

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525823/
https://www.ncbi.nlm.nih.gov/pubmed/37754043
http://dx.doi.org/10.3390/bs13090765

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