4D : A real-time driver drowsiness detector using deep learning

• Main Authors: Jahan, Israt, Uddin, K. M. Aslam, Murad, Saydul Akbar, Miah, Md Saef Ullah, Khan, Tanvir Zaman, Masud, Mehedi, Aljahdali, Sultan, Bairagi, Anupam Kumar
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/38190/1/4D_A%20real-time%20driver%20drowsiness%20detector%20using%20deep%20learning.pdf; http://umpir.ump.edu.my/id/eprint/38190/; https://doi.org/10.3390/electronics12010235; https://doi.org/10.3390/electronics12010235

There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms have already been published in the literature, with good resul...