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 …
A review of EEG signal features and their application in driver drowsiness detection systems
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …
is often approached using neurophysiological signals as the basis for building a reliable …
[HTML][HTML] Detecting driver fatigue using heart rate variability: A systematic review
Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …
and saving lives. Conventional driver monitoring systems based on driving performance and …
Fatigue monitoring through wearables: A state-of-the-art review
NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
Ubfc-phys: A multimodal database for psychophysiological studies of social stress
RM Sabour, Y Benezeth, P De Oliveira… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
As humans, we experience social stress in countless everyday-life situations. Giving a
speech in front of an audience, passing a job interview, and similar experiences all lead us …
speech in front of an audience, passing a job interview, and similar experiences all lead us …
Real-time machine learning-based driver drowsiness detection using visual features
Y Albadawi, A AlRedhaei, M Takruri - Journal of imaging, 2023 - mdpi.com
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 …
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 …
A systematic review of physiological signals based driver drowsiness detection systems
Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …
[HTML][HTML] Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning
Background and objective Drowsiness behind the wheel is a major road safety issue with
efforts focused on developing drowsy driving detection systems. However, most drowsy …
efforts focused on developing drowsy driving detection systems. However, most drowsy …
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
L Zhao, M Li, Z He, S Ye, H Qin, X Zhu, Z Dai - Measurement, 2022 - Elsevier
Fatigue could lead to low efficiency and even serious disaster. In the educational field,
detecting fatigue could help adjust teaching strategies accordingly when a student is …
detecting fatigue could help adjust teaching strategies accordingly when a student is …