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- Vol. 4 Issue 2
- Article
Driver Drowsiness Detection Using Neural Network and Machine Learning Algorithms
Authors
123 Computer Science Engineering, Maharaja Agrasen Institute of Technology/ GGSIPU, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 2 (2023)
- 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
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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