A single deep model with regional zero-padding and dual local-global encoders classifies EEG from motor imagery, resting state, and driving fatigue, reaching 59.6% macro F1.
EEG-based drowsiness estimat ion for safety driving using independent component analysis
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DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
A single deep model with regional zero-padding and dual local-global encoders classifies EEG from motor imagery, resting state, and driving fatigue, reaching 59.6% macro F1.