EEG-based-Cross-dataset-Driver-Drowsiness-Recognition-with-an-Entropy-Optimization-Network. The code implements the EON model for cross-dataset driver drowsiness recognition with EEG. The proposed method is tested on the domain adaptation task with two public datasets and achieves 2-class recognition accuracies of 89.2% and 77.6%,

github.com/cuijiancorbin/EEG-based-Cross-dataset-Driver-Drowsiness-Recognition-with-an-Entropy-Optimization-Network

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