The Experiment Study on Evaluation Method of Mental Fatigue in Cognitive Task Based on Physiological Signals.

TloadDback task experiment with personalized stimulus presentation time was designed to induce mental fatigue. The effect of mental fatigue induction was verified by analyzing the subjective score, behavioral performance data and physiological signal data (The EEG data, ECG data and eye movement data were collected in the experiment). Deep learning method was used to explore the best combination of physiological signals for mental fatigue evaluation according to different combinations of EEG, ECG and eye movement data. The results showed that the combination of EEG and eye movement signals had the highest accuracy of 92.61%.