Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection
Abstract: Highlights•MIGCN leverages prior knowledge to address driver variability, outperforming current methods.•MIGCN uses multi-source features to reduce single-feature sensitivity and improve accuracy.•MIGCN builds a graph with multi-information features, helping GCN learn spatial relations.
External IDs:dblp:journals/eswa/WeiYWLZ25
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