Interpretable Driver Fatigue Detection Using SHAP Analysis of Multiple Entropy EEG Features
This study demonstrates that SHAP analysis of multi-entropy EEG features, particularly Fuzzy Entropy from the Pz channel, can effectively identify reliable biomarkers and provide clinically interpretable explanations for tree-based driver fatigue detection models, despite achieving moderate classification accuracy.