Driver drowsiness is a major contributor to road traffic accidents. A system capable of
detecting drowsiness and consequently warning drivers at an early stage could significantly …

Vision Zero involves the use of a systems approach to eliminate fatal and serious injuries
from motor vehicle crashes by accommodating basic human limitations that lead to crashes …

The transportation of goods by road is crucial in Tanzania's Central and North-South
Corridors. However, challenges such as truck congestion and road accidents are affecting …

The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …

The use of smartwatches has increased significantly in recent years for leisure, health, and
research purposes. In the transport sector, smartwatches facilitate cost-effective, unintrusive …

Driver Posture Recognition Systems (DPRS) are indispensable for advancement in vehicle
safety by tracking driver posture using sensors and cameras. These systems monitor the …

Drowsy driving is a leading cause of commercial vehicle traffic crashes. The trend is to train
fatigue detection models using deep neural networks on driver video data, but challenges …

In today's analysis of traffic accident reports it becomes evident that most driving accidents
result from driver drowsiness, fatigue, and lack of alertness. At these moments, drivers …

Identifying changes in driver's vigilance under combined manual and automated driving
conditions, as well as during prolonged driving, is crucial for reducing car crashes. Existing …

Driver fatigue is a significant contributor to road accidents worldwide, and there is a need for
efficient driver drowsiness detection systems to prevent such accidents. Computer vision …