EEG-Based Driver Mental Fatigue Recognition in COVID-19 Scenario Using a Semi-Supervised Multi-View Embedding Learning Model
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DOI: 10.1109/tits.2022.3211536
Abstract: With the spread of COVID-19 in recent years, wearing masks has increased the difficulty of driver mental fatigue recognition. Electroencephalogram (EEG) signal has become an important physiological signal index to reflect the driver’s mental state.… read more here.
Keywords: view; fatigue recognition; semi supervised; driver mental ... See more keywords