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Research Article
Real-Time Drowsiness Identification Based On Eye State Analysis
Vignesh. J1
Gowri Shankar. K.S2
Dhavasi. K3
Thiyagu. M4
Soundharya. C5
1 2 3 4 5Dept. of Computer Science, the kavery Engineering College, Mecheri, Tamilnadu, India.
Published Online: May-June 2023
Pages: 246-251
Cite this article
↗ https://www.doi.org/10.59256/ijire.2023040383
References
1. “Road Accidents in India 2018”. Available: https://morth.nic.in/sites/default/files/Road_Accidednt.pdf, pp. 1-125, Accessed [24
March 2020] .
2. Forsman, Pia M., et al. "Efficient driver drowsiness detection at moderate levels of drowsiness." Accident Analysis & Prevention 50
(2013): 341-350.
3. Simon, Michael, et al. "EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions." Clinical
Neurophysiology 122.6 (2011): 1168-1178.
4. Massoz, Quentin, et al. "The ULg multimodality drowsiness database (called DROZY) and examples of use." 2016 IEEE Winter
Conference on Applications of Computer Vision (WACV). IEEE, 2016.
5. Svensson, U. Blink behavior based drowsiness detection. No. LiUIMT-EX-04/369,. 2004.
6. Bergasa, Luis Miguel, et al. "Real-time system for monitoring driver vigilance." IEEE Transactions on Intelligent
7. Transportation Systems 7.1 (2006): 63-77.
8. Zhihong, Wu, and Xiao Xiaohong. "Study on histogram equalization." Intelligence Information Processing and Trusted Computing,
International Symposium on. IEEE Computer
9. Society,
10. Dalal, Navneet, and Bill Triggs. "Histograms of oriented gradients for human detection." 2005 IEEE computer society conference on
computer vision and pattern recognition (CVPR'05). Vol. 1. IEEE, 2005.
11. Abtahi, Shabnam, et al. "YawDD: A yawning detection dataset." Proceedings of the 5th ACM Multimedia Systems Conference. 2014.
12. Patel, Mitesh, et al. "Applying neural network analysis on heart rate variability data to assess driver fatigue." Expert systems with
Applications 38.6 (2011): 7235-7242.
13. Liu, Jianping, Chong Zhang, and Chongxun Zheng. "EEG-based estimation of mental fatigue by using KPCA–HMM and complexity
parameters." Biomedical Signal Processing and Control 5.2 (2010): 124-130.
14. Shen, Weijie, et al. "Effective driver fatigue monitoring through pupil detection and yawing analysis in low light level environments."
International Journal of Digital Content Technology and its Applications 6.17 (2012). Fan, Xiao, Bao-cai Yin, and Yan-feng Sun.
"Yawning detection based on gabor wavelets and LDA." Journal
15. 2011Kazemi, Vahid, and Josephine Sullivan. "One millisecond face alignment with an ensemble of regression trees." Proceedings of
the IEEE conference on computer vision and pattern recognition. 2014.
March 2020] .
2. Forsman, Pia M., et al. "Efficient driver drowsiness detection at moderate levels of drowsiness." Accident Analysis & Prevention 50
(2013): 341-350.
3. Simon, Michael, et al. "EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions." Clinical
Neurophysiology 122.6 (2011): 1168-1178.
4. Massoz, Quentin, et al. "The ULg multimodality drowsiness database (called DROZY) and examples of use." 2016 IEEE Winter
Conference on Applications of Computer Vision (WACV). IEEE, 2016.
5. Svensson, U. Blink behavior based drowsiness detection. No. LiUIMT-EX-04/369,. 2004.
6. Bergasa, Luis Miguel, et al. "Real-time system for monitoring driver vigilance." IEEE Transactions on Intelligent
7. Transportation Systems 7.1 (2006): 63-77.
8. Zhihong, Wu, and Xiao Xiaohong. "Study on histogram equalization." Intelligence Information Processing and Trusted Computing,
International Symposium on. IEEE Computer
9. Society,
10. Dalal, Navneet, and Bill Triggs. "Histograms of oriented gradients for human detection." 2005 IEEE computer society conference on
computer vision and pattern recognition (CVPR'05). Vol. 1. IEEE, 2005.
11. Abtahi, Shabnam, et al. "YawDD: A yawning detection dataset." Proceedings of the 5th ACM Multimedia Systems Conference. 2014.
12. Patel, Mitesh, et al. "Applying neural network analysis on heart rate variability data to assess driver fatigue." Expert systems with
Applications 38.6 (2011): 7235-7242.
13. Liu, Jianping, Chong Zhang, and Chongxun Zheng. "EEG-based estimation of mental fatigue by using KPCA–HMM and complexity
parameters." Biomedical Signal Processing and Control 5.2 (2010): 124-130.
14. Shen, Weijie, et al. "Effective driver fatigue monitoring through pupil detection and yawing analysis in low light level environments."
International Journal of Digital Content Technology and its Applications 6.17 (2012). Fan, Xiao, Bao-cai Yin, and Yan-feng Sun.
"Yawning detection based on gabor wavelets and LDA." Journal
15. 2011Kazemi, Vahid, and Josephine Sullivan. "One millisecond face alignment with an ensemble of regression trees." Proceedings of
the IEEE conference on computer vision and pattern recognition. 2014.
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