most citedStudying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

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eess.SP2022★ 2 cited

Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez +3

- Background / Introduction: Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science…