Authors : Asmita Manna; Aniket Mhalungekar; Sainath Pattewar; Pushpak Kaloge; Ruturaj Patil
Volume/Issue : Volume 7 - 2022, Issue 3 - March
Google Scholar : https://bit.ly/3IIfn9N
Scribd : https://bit.ly/3tHdxSd
DOI : https://doi.org/10.5281/zenodo.6386614
Driver drowsiness and fatigue detection is very
important in today’s day. This systems reduces the road
accident and ensures the vehicles as well as driver safety.
In this paper, we reviewed various researches that help in
drowsiness and fatigue detection. We used four categories
of approach i.e researches involving machine learning,
deep learning, computer vision technology and EEG.
These researches have high accuracy and can be
implemented in real time. The Experiments involve
simulated driving environment and healthy subjects.
Theyare monitored throughout the period of driving and
thus drowsiness and fatigue is detected.