Research on EEG-Based Drowsy Driving Recognition Integrating Multi-Scale Temporal Features and Brain Functional Connectivity
Drowsy driving EEG recognition faces challenges such as signal non-stationarity, imbalanced class distribution, and insufficient utilization of spatio-temporal features. To improve fatigue state recognition performance, this paper proposes an EEG-based drowsy driving recognition method that integrates multi-scale tempo...