Drowsiness Detection System

1. 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
2. M. Ramzan, H. U. Khan, S. M. Awan, A. Ismail, M. Ilyas and A. Mahmood, "A Surveyon State-of-the-Art Drowsiness Detection
Techniques," in IEEE Access, vol. 7, pp. 61904-61919,2019.
3. Mohamad-Hoseyn Sigari.et.al , "A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection" International
Journal of Advanced Science andTechnology Vol.64.pp 73-100
4. Bappaditya Mandal, Liyuan Li, Gang Sam Wang and Jle Lin, "Towards Detection of BusDriver Fatigue Base on Robust Visual Analysis
of Eye State", IEEE Transactions on Intelligent Transportation Systems, vol 18, No. 3, March 2017
5. Vahid Kazemi and Sullivan Josephine, "One Millisecond Face Alignment with anEnsemble of Regression Trees", 27t IEEE Conference
on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, United States, 23 June 2014 through 28 June 2014
6. Christos Sagonas, Georgios Tzimiropoulos, Stefanos Zafeiriou and Maja Pantic, "300 Faces in-the-Wild Challenge: The First Fasial
Landmark Localization Challenge, IEEE International Conference on Computer Vision Workshop, 2013
7. 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, February3-5 20168. https://www.freecodecamp.org/news/smilfie-autocapture-selfies-by-detecting-a-smile-using-opencv-andpython-8c5cfb6ec197
9. S.Pandey,"Study Tonight,"12August2021. [Online].Available:https://www.studytonight.com/post/dlib-68-points-face-landmark-
detection-with- opencv-and-python. [Accessed2021].
10. LID.Pandey,"Medium.com,"AnalyticsVidhya,April2021.[Online].Available: https://medium.com/analytics-vidhya/eye-aspect-ratio- ear-
and-drowsiness-detector- using dliba0b2c292d706.