TSFAN: tensorized spatial-frequency attention network with domain adaptation for cross-session EEG-based biometric recognition

• Published in: Journal of neural engineering Vol. 21; no. 4; pp. 46005 - 46019
• Main Authors: Jin, Xuanyu, Yang, Xinyu, Kong, Wanzeng, Zhu, Li, Tang, Jiajia, Peng, Yong, Ding, Yu, Zhao, Qibin
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.08.2024
• Subjects: Adult; Attention - physiology; Biometric Identification - methods; domain adaptation; EEG-based biometric recognition; Electroencephalography - methods; Female; Humans; Male; Neural Networks, Computer; tensor network; Young Adult; domain adaptation; EEG-based biometric recognition; tensor network

Objective. Electroencephalogram (EEG) signals are promising biometrics owning to their invisibility, adapting to the application scenarios with high-security requirements. However, It is challenging to explore EEG identity features without the interference of device and state differences of the subj...