Driver fatigue detection systems: A review

G Sikander, S Anwar - IEEE Transactions on Intelligent …, 2018‏ - ieeexplore.ieee.org
Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic
accidents have a higher fatality rate and cause more damage to the surroundings compared …

A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and wearability

M Awais, N Badruddin, M Drieberg - Sensors, 2017‏ - mdpi.com
Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has
become an area of substantial research attention in recent years. The present study …

YawDD: A yawning detection dataset

S Abtahi, M Omidyeganeh, S Shirmohammadi… - Proceedings of the 5th …, 2014‏ - dl.acm.org
In this paper, we present two video datasets of drivers with various facial characteristics, to
be used for designing and testing algorithms and models for yawning detection. For …

Advancing maritime safety: Early detection of ship fires through computer vision, deep learning approaches, and histogram equalization techniques

A Ergasheva, F Akhmedov, A Abdusalomov, W Kim - Fire, 2024‏ - mdpi.com
The maritime sector confronts an escalating challenge with the emergence of onboard fires
aboard in ships, evidenced by a pronounced uptick in incidents in recent years. The …

Artificial intelligence modelling human mental fatigue: A comprehensive survey

A Lambert, A Soni, A Soukane, AR Cherif, A Rabat - Neurocomputing, 2024‏ - Elsevier
Mental fatigue refers to the decline in cognitive abilities that can occur as a result of
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …

Driver drowsiness monitoring based on yawning detection

S Abtahi, B Hariri… - 2011 IEEE international …, 2011‏ - ieeexplore.ieee.org
Fatigue and drowsiness of drivers are amongst the significant causes of road accidents. In
this paper, we discuss a method for detecting drivers' drowsiness and subsequently alerting …

Yawning detection using embedded smart cameras

M Omidyeganeh, S Shirmohammadi… - IEEE Transactions …, 2016‏ - ieeexplore.ieee.org
Yawning detection has a variety of important applications in a driver fatigue detection, well-
being assessment of humans, driving behavior monitoring, operator attentiveness detection …

Fully automated real time fatigue detection of drivers through fuzzy expert systems

T Azim, MA Jaffar, AM Mirza - Applied Soft Computing, 2014‏ - Elsevier
This paper presents a non-intrusive fatigue detection system based on the video analysis of
drivers. The system relies on multiple visual cues to characterize the level of alertness of the …

Real-time detection method of driver fatigue state based on deep learning of face video

Z Cui, HM Sun, RN Yin, L Gao, HB Sun… - Multimedia Tools and …, 2021‏ - Springer
The use of face video information for driver fatigue detection has received extensive
attention because of its low cost and non-invasiveness. However, the current vehicle …

Analysis of yawning behaviour in spontaneous expressions of drowsy drivers

Z Jie, M Mahmoud, Q Stafford-Fraser… - 2018 13th IEEE …, 2018‏ - ieeexplore.ieee.org
Driver fatigue is one of the main causes of road accidents. It is essential to develop a reliable
driver drowsiness detection system which can alert drivers without disturbing them and is …