An improved multi-source domain adaptation network for inter-subject mental fatigue detection based on DANN

• Published in: Biomedizinische Technik Vol. 68; no. 3; pp. 317 - 327
• Main Authors: Chen, Kun, Liu, Zhiyong, Li, Zhilei, Liu, Quan, Ai, Qingsong, Ma, Li
• Format: Journal Article
• Language: English
• Published: Germany De Gruyter 27.06.2023; Walter de Gruyter GmbH
• Subjects: Adaptation; Calibration; Classification; Datasets; domain adaptation; Domains; EEG; Electroencephalography; Fatigue; Feature extraction; FLDANN; inter-subject; mental fatigue; multi-source domain; Neural networks; Training; Transfer learning; FLDANN; mental fatigue; domain adaptation; inter-subject; EEG; multi-source domain

Electroencephalogram (EEG) is often used to detect mental fatigue because of its real-time characteristic and objective nature. However, because of the individual variability of EEG among different individuals, tedious and time-consuming calibration sessions are needed. Therefore, we propose a multi...