Fatigue is a significant safety concern across various domains, and accurate detection is
vital. However, the commonly employed fine-grained labels (seconds-based) frequently …

Traffic accidents as a result of driver fatigue and drowsiness have caused many injuries and
deaths. Therefore, driver fatigue detection and prediction system have been recognized as …

Fatigue is a loss in cognitive or physical performance due to physiological factors such as
insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the …

Over the past few years, fatigue driving has emerged as one of the main causes of traffic
accidents, necessitating the development of driver fatigue detection systems. However …

Noise is ubiquitous in the world around us. Difficulty inestimating the noise within a dataset
makes learning fromsuch a dataset a difficult and challenging task. In this pa-per, we …

The practicality of driving fatigue detection approaches largely depends on social
acceptance. Physiological-based methods perform well, but they are rarely accepted by …

Fatigue is not only common in clinical patients but is also prevalent in the healthy
population. A lot of studies have been done to detect mental fatigue. Most of the current …

Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When
faced with new datasets, the existing fatigue detection model needs a large amount of …

Driver fatigue is one of the main causes of traffic accidents. Current vision-based methods
for detecting driver fatigue lack robustness in the presence of interfering images, and exhibit …

Fatigued driving detection in complex environments is a challenging problem. This paper
proposes a fatigued driving detection algorithm based on multi-index fusion and a state …