EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach

Electroencephalogram (EEG) authentication has become a research hotspot in the field of information security due to its advantages of living, internal, and anti-stress. However, the performance of identity authentication system is limited by the inherent attributes of EEG, such as low SNR, low stabi...

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Bibliographic Details
Main Authors:	Li, Z. (Author), Lu, R. (Author), Shu, J. (Author), Tong, L. (Author), Yan, B. (Author), Yang, K. (Author), Zeng, Y. (Author), Zhang, R. (Author)
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022
Subjects:	3d-CNN 3D-CNN adult article Authentication Authentication systems controlled study Convolution Convolution kernel EEG electroencephalogram Electroencephalogram signals Electroencephalography ERP Feature domain female Frequency domain analysis Hotspots human human experiment identity authentication Identity authentication major clinical study male Multi-domain features multi-scale Multi-scales Performance signal processing vision
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EEG Identity Authentication in Multi-Domain Features: A Multi-Scale 3D-CNN Approach

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