Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG

Conclusion: The present work also demonstrates the usefulness of the framework of HRV-based anomaly detection that was originally proposed for epileptic seizure prediction. Significance: The proposed method can contribute to preventing accidents caused by drowsy driving.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research