Use of Facial Information to Detect Driver's Sleepiness and Disorientation
Road accidents in Iran account for a large volume of injuries and mortality, which have a lot of financial losses for society. Therefore, recognizing driver's sleepiness can have a great effect in reducing these injuries. One of the ways to detect fatigue and distraction is the use of surveillance systems from the driver's face. In this paper, a driver's face monitoring system is designed to estimate the driver's consciousness by extracting signs of tiredness and distraction from the eye area. These characteristics are then processed by the KNN algorithm and the RBF network in order to estimate the amount of distraction of the driver's senses. The results of the experiments on the images in the actual environment show that the proposed method has a very good accuracy. In terms of implementing the algorithm, the accuracy of the proposed system is 95.7%.
 Q. Ji and X. Yang, "Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance," Elsevier Real-Time Imaging, vol. 8, pp. 357–377, 2002.
 T. Brandt, R. Stemmer, B. Mertsching, and A. Rakotonirainy, "Affordable Visual Driver Monitoring System for Fatigue and Monotony," in IEEE International Conference on Systems, Man and Cybernetics (SMC), Hague, Netherlands, 2004, pp. 6451- 6456.
 P. S. Rau, "Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Operational Test Design, Data Analyses and Progress," National Highway Traffic Safety Administration of USA (NHTSA)2005.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).