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Research Article

Driver Drowsiness Detection Using Neural Network and Machine Learning Algorithms

Open Access Peer Reviewed

Authors

  • Abhay Rathi1
  • Prabhat2
  • Pranav Bansal3

123 Computer Science Engineering, Maharaja Agrasen Institute of Technology/ GGSIPU, India.

Article Information

DOI
No DOI
Published Online
March-April 2023
Pages
315-320
Article Type
Research Article
Check for updates
No DOI available for cross-reference

References

1. Li Cuimei, Qi Zhiliang, Jia Nan, Wu Jianhua “HUMAN FACE DETECTION ALGORITHM VIA HAAR CASCADE CLASSIFIERS
COMBINED WITHTHREE ADDITIONAL CLASSIFIERS” IEEE 13th International
Conference 1.School of Communication and Electronics, Jiangxi Science and Technology Normal University Nanchang 330013,
China2.
2. https://www.overleaf.com/latex/templates/university-of-lincoln-computer-science-interim- reporttemplate/bcrgrsqgqrgr
3. https://ncrb.gov.in/sites/default/files/ADSI-2021/adsi2021C hapter−1A−Traffic-Accidents.pdf
4. Magan,E.´;Sesmero,M.P.;Alonso−Weber,J.M.;Sanchis,A.DriverDrowsinessDetectionbyApplyingDeepLearningT
echniquestoS//doi.org/10.3390/app12031145
5. Magan,Elena,M.PazSesmero,JuanManuelAlonso´−Weber,andAraceliSanchis.2022.”DriverDrowsinessDetectionb
yApplyingD1145.https://doi.org/10.3390/app12031145
6. Ghoddoosian,R.;Galib,M.;Athitsos, V.ARealisticDatasetandBaselineTemporalModelforEarlyDrowsinessDetection.InP roceedi
7. Samiee,S.;Azadi,S.;Kazemi,R.;Nahvi,A.;Eichberger,A.DataFusiontoDevelopaDriverDrowsinessDetectionSystem withRobus
8. OraanKhunpisuth,TaweechaiChotchinasri,DRIVERDROWSINESSDETECTIONUSINGEYE−CLOSENESSDE TECT
9. García, S. Bronte, L. M. Bergasa, J. Almazán, and J. Yebes, (2012). “Visionbased drowsiness detector for realdriving conditions,”
IEEEIntelligentVehiclesSymposium,Proceedings
10. RamalathaMarimuthu, A. Suresh, M. Alamelu and S.Kanagaraj “Driver fatigue detection using image processing and accident
prevention”, International journal of pure and applied mathematics, vol. 116, 2017.
11. Dwivedi, K., Biswaranjan, K., & Sethi, A. (2014). Drowsy driver detection using representation learning.
12. Warwick, B., Symons, N., Chen, X., & Xiong, K. (2015). Detecting Driver Drowsiness Using WirelessWearables.
13. B. Hariri, S. Abtahi, S. Shirmohammadi, and L. Martel, “A yawning measurement method to detect driverdrowsiness,” Distributed
and Collaborative Virtual Environments Research Laboratory, University of Ottawa,Ottawa, ON, Canada, 2011
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