MF-AHFNet: A Fatigue Driving Detection Method Based on Multi-Feature Asymptotic Hierarchical Fusion Network
This study investigates driver fatigue detection using frontal electroencephalogram (EEG) signals and proposes a Multi-Feature Asymptotic Hierarchical Fusion Network (MF-AHFNet). The proposed model adopts a dual-branch architecture, in which Power Spectral Density (PSD) and Differential Entropy (DE) features are extrac...