Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review

SA El-Nabi, W El-Shafai, ESM El-Rabaie… - Multimedia Tools and …, 2024 - Springer
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 …

[HTML][HTML] Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles

G Yang, C Ridgeway, A Miller, A Sarkar - Sensors, 2024 - mdpi.com
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

Facial feature fusion convolutional neural network for driver fatigue detection

Z Sun, Y Miao, JY Jeon, Y Kong, G Park - Engineering Applications of …, 2023 - Elsevier
Driver fatigue detection is critical for preventing traffic accidents. However, in real driving
scenarios, low-quality input situations often occur due to occlusion, large-turn head …

An anchor-free detector with channel-based prior and bottom-enhancement for underwater object detection

W Ouyang, Y Wei - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The rapid and efficient detection of marine organisms through intelligent devices contributes
to the marine economy. A vital stage is the accurate processing of the images obtained by …

Privacy-preserving federated learning system for fatigue detection

M Mohammadi, R Allocca, D Eklund… - … on Cyber Security …, 2023 - ieeexplore.ieee.org
Context:. Drowsiness affects the driver's cognitive abilities, which are all important for safe
driving. Fatigue detection is a critical technique to avoid traffic accidents. Data sharing …

Air Traffic Controller Fatigue Detection Based on Facial and Vocal Features Using Long Short-Term Memory

Z Huang, W Tang, Q Tian, T Huang, J Li - IEEE Access, 2024 - ieeexplore.ieee.org
Air traffic controller fatigue has become a significant concern for flight safety. With the sharp
rise in global air traffic, it is imperative to assess controller fatigue, as it directly impacts the …

Deep learning-based spatio temporal facial feature visual speech recognition

PS Kumar, G Akshay - arXiv preprint arXiv:2305.00552, 2023 - arxiv.org
In low-resource computing contexts, such as smartphones and other tiny devices, Both deep
learning and machine learning are being used in a lot of identification systems. as …

Driver Drowsiness Monitoring and Detection using Machine Learning

P Pandey, M Sharma, P Saxena… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
One of the major contributors to traffic accidents is drowsy driving. Globally, there are more
people dying and sustaining deadly injuries each year. Road accidents can be avoided if …

Characterisation of Data Augmentation Techniques Using Visualisation

KW Lee, RKY Chin - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Data Augmentation (DA) alleviates the data-space limitations by generating new instances
for training machine learning (ML) models. However, in practice, the effectiveness of the DA …

Multimodal Classification of Cognitive States in Alzheimer's Disease

MS Hemant, SR Jagadabhi, BT Vidapu… - TENCON 2023-2023 …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a neurodegenerative disease which affects the brain and causes
memory loss. Today, this is the most affected disease in the world and has been a real …