An efficient approach for driver’s drowsiness detection system using deep learning and transfer learning

Author:

Arindam Gupta,Rajeswari D.

Publisher

AIP Publishing

Reference18 articles.

1. Rosebrock, A. (2017, May 8). Retrieved from Pyimagesearch: https://www.pyimagesearch.com/2017/05/08/drowsiness-detectionopencv/

2. Darshan Sawant, Prof. J. R. Mahajan, Pankaj Nagare, Ketan Sadigale, Prashant Dhawde. “Drowsiness detection system,” International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, 2015

3. Donghoon Lee, Chang D. Yoo, Sanghyuk Park, and Sungrack Yun. “An effective algorithm for detecting fatigue a driving system with active safety.”, ITC-CSCC, 2011

4. Anandu Santhosh, Arya Manohar, Dishnu S. Dinesh, Sravan Soman, and Vinod P R. “Driver Drowsiness Detection Using OpenCV, Dlib and Python”, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), e-ISSN: 2319-8753, p-ISSN: 2320-6710, 2020

5. Ismail Kayadibi, Nurgül zmen Süzme, Gür Emre Güraks, and Uçman Ergün. “A transfer learning-based system for recognising eye states”. International Journal of Computational Intelligence Systems volume, 2022.

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