Corpus ID: 7857904

The Steps of proposed drowsiness detection system design based on image processing in simulator driving

@inproceedings{Karchani2015TheSO,
  title={The Steps of proposed drowsiness detection system design based on image processing in simulator driving},
  author={Mohsen Karchani and A. Mazloumi and G. N. Saraji and A. Nahvi and K. S. Haghighi and Bahador Makki Abadi and A. R. Foroshani and A. Niknezhad},
  year={2015}
}
  • Mohsen Karchani, A. Mazloumi, +5 authors A. Niknezhad
  • Published 2015
  • Drowsiness detection has many implications including reducing roads traffic accidents importance. Using image processing techniques is amongst the new and reliable methods in sleepy face. The present pilot study was done to investigate sleepiness and providing images of drivers' face, employing virtual-reality driving simulator. In order to detecting level of sleepiness according to the signal, information related to 25 drivers was recorded with imaging rate of 10 fps. Moreover, on average 3000… CONTINUE READING
    6 Citations

    Figures from this paper.

    References

    SHOWING 1-10 OF 13 REFERENCES
    Detecting Driver Drowsiness Based on Sensors: A Review
    • 385
    Monitoring driver fatigue using facial analysis techniques
    • S. Singh, N. Papanikolopoulos
    • Engineering
    • Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383)
    • 1999
    • 109
    A monitoring method of driver fatigue behavior based on machine vision
    • 65
    Fatigue detection based on the distance of eyelid
    • Wenhui Dong, X. Wu
    • Computer Science
    • Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005.
    • 2005
    • 106
    Robust real-time face detection
    • P. Viola, Michael J. Jones
    • Computer Science
    • Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
    • 2001
    • 5,035