Non-intrusive Detection and Prediction of Driver’s Fatigue Using Optimized Yawning Technique-Reference-Cited by-同舟云学术

Non-intrusive Detection and Prediction of Driver’s Fatigue Using Optimized Yawning Technique

Published:2017 Issue:8 Volume:4 Page:7859-7866
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Hemantkumar B.,Mali ,Shashikant D.,Lokhande

Publisher

Elsevier BV

Subject

General Medicine

Reference5 articles.

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3. P. Smith, M. Shah, and N. da Vitoria Lobo, “Monitoring head/eye motion for driver alertness with one camera”, in Proceedings of the 15th International Conference on Pattern Recognition (ICPR 00), vol. 4, pp. 636–642, Barcelona, Spain, 2000.

4. A non-rigid motion estimation algorithm for yawn detection in human drivers;Mohanty;International Journal of Computational Vision and Robotics,2009

5. W. Rongben, G. Lie, T. Bingliang, and J. Lisheng, “Monitoring mouth movement for driver fatigue or distraction with one camera”, in Proceedings of the 7th IEEE International Conference on Intelligent Transportation Systems, pp. 314–319, October 2004.

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