Background: Fatigue in the workers reduces the individual's resistance and eventually leads to the lower performance, increased errors and accidents. This study assessed the fatigue, mental workload and the correlation between them, in operating room personnel of Hamadan hospitals, Iran. Materials and Methods: In a descriptive study, the mental workload and its association with fatigue in oper...

Driver fatigue detection plays an important role in intelligent transportation systems for driving safety. Therefore, it becomes an essential research issue these years. Recently, Horng and Chen proposed a real-time driver fatigue detection system based on eye tracking and dynamic template matching. In their work, the driver fatigue detection system consists of four parts: face detection, eye d...

Driver fatigue is a significant contributor to motor vehicle accidents and fatalities, although the exact share of those events attributable to fatigue is still uncertain. In 2013, accidents involving heavy trucks killed more than 3,944 people in the United States, with over 80 percent of those killed not in the truck. Numerous factors contribute to driver fatigue among commercial drivers, incl...

Driver fatigue is a popular problem which has attracted people’s views. Many research departments are researching driver fatigue detection in order to improve the traffic safety. This paper presented a driver fatigue detection system based on DM3730. The system calculated the inter-image difference between frames captured by near-infrared light irradiation, which included identification of the ...

In this work various methods and algorithms for face and eyes detection are examined in order to decide which of them are applicable for use in a driver fatigue monitoring system. In the case of face detection the standard Viola-Jones face detector has shown best results, while the method of finding the eye centers by means of gradients has proven to be most appropriate in the case of eyes dete...

This paper is directed to the further understanding of the problems of fatigue and workload and their role in diminishing driving capability. We present a specific strategy designed to defend against the adverse effects of fatigue and workload extremes through the use of adaptive driver systems. To begin, the work presents a brief critique of Muscio's constraints on developing a test of fatigue...

Research Question/Objective: Current advanced driver assistant systems combine the strengths of a human driver with the benefits of technical advancements. By raising the vehicle automation level, new human factors challenges emerge. Considering level 2 automation, where the driver is required to continuously monitor the system and remains responsible for vehicle safety, automation effects like...

Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...

In September 2008 new regulations for managing heavy vehicle driver fatigue entered into force in Australia. According to the new regulations there is a chain of responsibility ranging from drivers to dispatchers and shippers and thus, carriers must explicitly consider driving and working hour regulations when generating truck driver schedules. This paper presents and studies the Australian Tru...