Dynamic threshold distribution domain adaptation network: a cross-subject fatigue recognition method based on EEG signals

• Published in: IEEE transactions on cognitive and developmental systems Vol. 16; no. 1; p. 1
• Main Authors: Ma, Chao, Zhang, Meng, Sun, Xinlin, Wang, He, Gao, Zhongke
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Brain modeling; Domain adaptation; Driver fatigue; EEG; Electroencephalography; Fatigue; Fatigue recognition; Feature extraction; Invariants; Labels; Pseudo label; Recognition; Signal classification; Strategy; Task analysis; Training; Vehicles

Electroencephalogram (EEG) has been widely used in driver fatigue recognition due to its high-resolution and non-invasive characteristics in recent years. However, EEG signals have strong variability and significant individual differences, which put forward extremely high requirements on the general...