A review of recent developments in driver drowsiness detection systems
Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …
decade have led to improvements in driver monitoring systems. Numerous experimental …
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
Intelligent driver drowsiness detection for traffic safety based on multi CNN deep model and facial subsampling
Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and
distraction while driving. Few works on the automated drowsiness detection problem …
distraction while driving. Few works on the automated drowsiness detection problem …
Low-cost CNN for automatic violence recognition on embedded system
Due to the increasing number of violence cases, there is a high demand for efficient
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …
Real-time machine learning-based driver drowsiness detection using visual features
Drowsiness-related car accidents continue to have a significant effect on road safety. Many
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …
[HTML][HTML] A systematic review on detection and prediction of driver drowsiness
ME Shaik - Transportation research interdisciplinary perspectives, 2023 - Elsevier
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …
which can result in fatalities, serious physical losses, large monetary losses, and significant …
[HTML][HTML] IoT-assisted automatic driver drowsiness detection through facial movement analysis using deep learning and a U-Net-based architecture
The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …
Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Recognising handwritten digits or characters is a challenging task due to noisy data that
results from different writing styles. Numerous applications essentially motivate to build an …
results from different writing styles. Numerous applications essentially motivate to build an …
[HTML][HTML] Structural analysis of driver fatigue behavior: a systematic review
H Zhang, D Ni, N Ding, Y Sun, Q Zhang, X Li - Transportation research …, 2023 - Elsevier
Fatigue is always accompany with the driving task, which have been extensively
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …
Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network
M Zhu, J Chen, H Li, F Liang, L Han… - Neural computing and …, 2021 - Springer
Vehicle drivers driving cars under the situation of drowsiness can cause serious traffic
accidents. In this paper, a vehicle driver drowsiness detection method using wearable …
accidents. In this paper, a vehicle driver drowsiness detection method using wearable …