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- Vol. 3 Issue 6
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Driver Drowsiness Detection System using Machine Learning
Authors
1234Computer Science Engineering, Institute of Technology and Management, Gorakhpur, Uttar Pradesh, India. 5Asst.Prof.at ITM Gorakhpur, Uttar Pradesh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 6 (2022)
- Published Online
- November-December 2022
- Pages
- 77-79
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
1. Suraj Mali, Kiran Bangale, Rohan Walekar, Prof. P. T. Shitole (2022). "Driver Drowsiness Detection Using Smartphone".
2. Piyush Ravi Kumar, Dr. Neeraj Dahiya (2019). "Driver Distraction and Drowsiness Detection System".
3. Daksh Khetan, Arun Nawani, Anshul Aggarwal, Ms. Surinder Kaur (2022). "Driver Drowsiness Detection in Real-time".
4. V B Navya Kiran, Raksha R, Anisoor Rahman, Varsha K N, Dr. Nagamani N P (2020). "Driver Drowsiness Detection".
5. Naga Ramyatha K, Bhavya Sree K, Swathi Krishna K, Manjunath C R (2020). "Driver Drowsiness Detection Alert System using Haar
Method".
6. Rateb Jabbara, Khalifa Al-Khalifaab, Mohamed Kharbechea, Wael Alhajyaseena, Mohsen Jafaric, Shan Jiangc (2018). "Real-time
Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques".
7. Yaman Albadawi, Maen Takruri, Mohammed Awad (2022). "A Review of Recent Developments in Driver Drowsiness Detection
Systems".
8. Miss. Ankita M. Bhoyar, Prof. S. N. Sawalkar (2019). "Implementation on Visual Analysis of Eye State Using Image Processing for
Driver Fatigue Detection".
9. H. Varun Chand, J. Karthikeyan (2021). "CNN Based Driver Drowsiness Detection System Using Emotion Analysis".
10. Jay D. Fuletra and Dulari Bosamiya, "A Survey on Driver's Drowsiness Detection Techniques", International Journal on Recent and
Innovation Trends in Computing and Computation, Volume: 1, Issue: 1
11. M. Ramzan, H. U. Khan, S. M. Awan, A. Ismail, M. Ilyas and A. Mahmood, "A Survey on State-of-the-Art Drowsiness Detection
Techniques," in IEEE Access, vol. 7, pp. 61904-61919, 2019.
12. Mohamad-Hoseyn Sigari, Muhammad Reza Pourshahabi, Mohnsen Soryani and Mahmood Fathy, "A Review on Driver Face Monitoring
Systems for Fatigue and Distraction Detection", International Journal of Advanced Science and Technology Vol.64.pp 73-100
13. Bappaditya Mandal, Liyuan Li, Gang Sam Wang and Jle Lin, "Towards Detection of Bus Driver Fatigue Base on Robust Visual Analysis
of Eye State", IEEE Transactions on Intelligent Transportation Systems, vol 18, No. 3, March 2017.
14. Tereza Soukupova and Jan Cech, "Real-Time Eye Blink Detection using Facial Landmarks", 21st Computer Vision Winter Workshop,
Luke Cehovin, Rok Mandeljic, Vitomir Struc (eds.) Rimskke Toplice, Slovenia, February 3-5 2016.
15. S. Pandey, "Study Tonight," 12 August 2021. [Online]. Available: https://www.studytonight.com/post/dlib-68-points-face-landmark
detection-with-opencv-and-python. [Accessed 2021].
16. D. Pandey, "Medium.com," Analytics Vidhya, April 2021. [Online]. Available: https://medium.com/analytics-vidhya/eye-aspect-ratioear-
and-drowsiness-detector-using-dliba0b2c292d706. [Accessed 2021]
2. Piyush Ravi Kumar, Dr. Neeraj Dahiya (2019). "Driver Distraction and Drowsiness Detection System".
3. Daksh Khetan, Arun Nawani, Anshul Aggarwal, Ms. Surinder Kaur (2022). "Driver Drowsiness Detection in Real-time".
4. V B Navya Kiran, Raksha R, Anisoor Rahman, Varsha K N, Dr. Nagamani N P (2020). "Driver Drowsiness Detection".
5. Naga Ramyatha K, Bhavya Sree K, Swathi Krishna K, Manjunath C R (2020). "Driver Drowsiness Detection Alert System using Haar
Method".
6. Rateb Jabbara, Khalifa Al-Khalifaab, Mohamed Kharbechea, Wael Alhajyaseena, Mohsen Jafaric, Shan Jiangc (2018). "Real-time
Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques".
7. Yaman Albadawi, Maen Takruri, Mohammed Awad (2022). "A Review of Recent Developments in Driver Drowsiness Detection
Systems".
8. Miss. Ankita M. Bhoyar, Prof. S. N. Sawalkar (2019). "Implementation on Visual Analysis of Eye State Using Image Processing for
Driver Fatigue Detection".
9. H. Varun Chand, J. Karthikeyan (2021). "CNN Based Driver Drowsiness Detection System Using Emotion Analysis".
10. Jay D. Fuletra and Dulari Bosamiya, "A Survey on Driver's Drowsiness Detection Techniques", International Journal on Recent and
Innovation Trends in Computing and Computation, Volume: 1, Issue: 1
11. M. Ramzan, H. U. Khan, S. M. Awan, A. Ismail, M. Ilyas and A. Mahmood, "A Survey on State-of-the-Art Drowsiness Detection
Techniques," in IEEE Access, vol. 7, pp. 61904-61919, 2019.
12. Mohamad-Hoseyn Sigari, Muhammad Reza Pourshahabi, Mohnsen Soryani and Mahmood Fathy, "A Review on Driver Face Monitoring
Systems for Fatigue and Distraction Detection", International Journal of Advanced Science and Technology Vol.64.pp 73-100
13. Bappaditya Mandal, Liyuan Li, Gang Sam Wang and Jle Lin, "Towards Detection of Bus Driver Fatigue Base on Robust Visual Analysis
of Eye State", IEEE Transactions on Intelligent Transportation Systems, vol 18, No. 3, March 2017.
14. Tereza Soukupova and Jan Cech, "Real-Time Eye Blink Detection using Facial Landmarks", 21st Computer Vision Winter Workshop,
Luke Cehovin, Rok Mandeljic, Vitomir Struc (eds.) Rimskke Toplice, Slovenia, February 3-5 2016.
15. S. Pandey, "Study Tonight," 12 August 2021. [Online]. Available: https://www.studytonight.com/post/dlib-68-points-face-landmark
detection-with-opencv-and-python. [Accessed 2021].
16. D. Pandey, "Medium.com," Analytics Vidhya, April 2021. [Online]. Available: https://medium.com/analytics-vidhya/eye-aspect-ratioear-
and-drowsiness-detector-using-dliba0b2c292d706. [Accessed 2021]
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