Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection

@inproceedings{Li2014EstimationOE,
  title={Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection},
  author={Gang Li and Nguyen Trung Hau},
  booktitle={Sensors},
  year={2014}
}
Currently, driver drowsiness detectors using video based technology is being widely studied. Eyelid closure degree (ECD) is the main measure of the video-based methods, however, drawbacks such as brightness limitations and practical hurdles such as distraction of the drivers limits its success. This study presents a way to compute the ECD using EEG sensors instead of video-based methods. The premise is that the ECD exhibits a linear relationship with changes of the occipital EEG. A total of 30… CONTINUE READING
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