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Research Article
Driver Drowsiness Detection System
Anubhav pandey1
Ankur Singh2
Aditya Singh3
Ajay Kumar4
123 Student, Department of Computer Science and Engineering, ITM Gida Gorakhpur, Uttar Pradesh, India. 4Assistant Professor, Department of Computer Science and Engineering, ITM Gida Gorakhpur, Uttar Pradesh, India.
Published Online: November-December 2022
Pages: 122-125
Cite this article
No DOIReferences
[1]. Akrout B. Mahdi W.: ‘Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration’, Mach. Vis. Appl., 2015, 26, (1), pp. 1– 13
[2]. “Eye tracking based driver fatigue monitoring and warning system”, IEEE IICPE, New Delhi, India, Jan. 2014 H. Singh, J. S. Bhatia, and J. Kaur.
[3]. OyiniMbouna R. Kong S.G. Chun M.-G.: ‘Visual analysis of eye state and head pose for driver alertness monitoring’, IEEE Trans. Intell. Transp. Syst., 2013, 14, (3), pp. 1462– 1469
[4]. World Health Organization. Road Safety: Basic Facts.; 2016 (http://www.who.int/violence_injury_prevention/publications/road_traffic/Road_safety_media _brief_full_document.pdf).
[5]. Degada and V. Savani (2015). An Embedded Technology and ICT Approach to the Design and Implementation of a Low-Cost, Portable Telemedicine System The 5th Nirma University International Conference on Engineering (NUICONE) was held in 2015. (page1 - 6). IEEE, Ahmedabad, India.
[6]. Bergasa L.M. Nuevo J. Sotelo M.A. et al.: ‘Real-time system for monitoring driver vigilance’, IEEE Trans. Intell. Transp. Syst., 2006, 7, (1), pp. 63– 77
[7]. "Squeezenet: Alexnetlevel accuracy with 50x scaling," F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzerpp. 1-13 in Proceedings of the International Conference on Learning Representations, 2017
[8]. P. Kang, Y. Wei, and Z. Wei (2017). Based on Embedded Networking and Qt Technology, this control system for granary ventilation. The 29th Chinese Control and Decision Conference (CCDC) was held in 2017. (Pages 2275 - 2280). IEEE, Chongqing, China.
[2]. “Eye tracking based driver fatigue monitoring and warning system”, IEEE IICPE, New Delhi, India, Jan. 2014 H. Singh, J. S. Bhatia, and J. Kaur.
[3]. OyiniMbouna R. Kong S.G. Chun M.-G.: ‘Visual analysis of eye state and head pose for driver alertness monitoring’, IEEE Trans. Intell. Transp. Syst., 2013, 14, (3), pp. 1462– 1469
[4]. World Health Organization. Road Safety: Basic Facts.; 2016 (http://www.who.int/violence_injury_prevention/publications/road_traffic/Road_safety_media _brief_full_document.pdf).
[5]. Degada and V. Savani (2015). An Embedded Technology and ICT Approach to the Design and Implementation of a Low-Cost, Portable Telemedicine System The 5th Nirma University International Conference on Engineering (NUICONE) was held in 2015. (page1 - 6). IEEE, Ahmedabad, India.
[6]. Bergasa L.M. Nuevo J. Sotelo M.A. et al.: ‘Real-time system for monitoring driver vigilance’, IEEE Trans. Intell. Transp. Syst., 2006, 7, (1), pp. 63– 77
[7]. "Squeezenet: Alexnetlevel accuracy with 50x scaling," F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzerpp. 1-13 in Proceedings of the International Conference on Learning Representations, 2017
[8]. P. Kang, Y. Wei, and Z. Wei (2017). Based on Embedded Networking and Qt Technology, this control system for granary ventilation. The 29th Chinese Control and Decision Conference (CCDC) was held in 2017. (Pages 2275 - 2280). IEEE, Chongqing, China.
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