Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network
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DOI: 10.2139/ssrn.4165836
Abstract: Accurate identification of driver's drowsiness state through Electroencephalogram (EEG) signals can effectively reduce traffic accidents, but EEG signals are usually stored in various clients in the form of small samples. This study attempts to construct… read more here.
Keywords: tree federated; based tree; driver drowsiness; federated learning ... See more keywords