An intelligent hybrid approach for detection of drowsy driving risk in real environments

@article{Songkroh2017AnIH,
  title={An intelligent hybrid approach for detection of drowsy driving risk in real environments},
  author={Arkhom Songkroh and Werasak Kurutach},
  journal={2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)},
  year={2017},
  pages={876-881}
}
Up until now, law violation and drowsiness have been major causes of road traffic accident in Thailand. This study presents an approach to detect the risk due to drowsiness and distraction of a driver. In our method, techniques in computer vision are employed to extract facial features of the driver to determine his behaviors. Since the vehicle speed is… CONTINUE READING