MSANet: a multi-scale spatiotemporal adaptive network for EEG-based driver fatigue recognition
Electroencephalography (EEG)-based driver fatigue recognition remains challenging because fatigue-related patterns are distributed across multiple temporal scales, inter-channel relationships vary across samples, and inter-individual differences complicate cross-subject transfer. To address these issues, a multi-scale...