Eye Movement Detection for Assessing Driver Drowsiness by Electrooculography

@article{Ebrahim2013EyeMD,
  title={Eye Movement Detection for Assessing Driver Drowsiness by Electrooculography},
  author={Parisa Ebrahim and Wolfgang Stolzmann and Bin Yang},
  journal={2013 IEEE International Conference on Systems, Man, and Cybernetics},
  year={2013},
  pages={4142-4148}
}
Many studies show that driver drowsiness is one of the main reasons for road accidents. To prevent such car crashes, systems are needed to monitor and characterize the driver based on the driving information. In order to have highly reliable assistant systems, reference drowsiness measurements are required. Among different physiological measures, previous studies have introduced driver eye movements, particularly blinking, as a measure with high correlation to drowsiness. Hence, in this study… CONTINUE READING