نتایج جستجو برای: driver fatigue

تعداد نتایج: 108875  

Journal: :Aviation, space, and environmental medicine 2004
Martin Moore-Ede Anneke Heitmann Rainer Guttkuhn Udo Trutschel Acacia Aguirre Dean Croke

The Circadian Alertness Simulator (CAS) was developed as a practical tool for assessing the risk of diminished alertness at work. Applications of CAS include assessment of operational fatigue risk, work schedule optimization, and fatigue-related accident investigation. Based on the documented work schedules of employees, sleep and alertness patterns are estimated and a cumulative fatigue score ...

1998
B. Wincheski M. Namkung

Resonant vibrations have been stimulated in thin metal plates using a non-contacting electromagnetic driver. A sinusoidal force was applied in a swept frequency fashion and the resulting surface displacements were monitored through the use of an acoustic microphone. It has been found that the presence of a fatigue crack in the sample causes a broadening of the second resonance peak. The Q facto...

2016
Upasana Sinha Kamal K. Mehta A. K. Shrivastava

Driver fatigue and lack of sleep of drivers especially those who drive for a longer period of time as train accidents are a longer standing problem. It has been observed that each year numerous train accidents and fatalities may occur around the world due to driver falling asleep while driving the train. There are various traditional methods that may facilitate to detect drowsiness state of the...

2013
Anne Morel

Fatigue phenomena, which appear generally below the yield stress, is the cause of more than 80 % of in-service mechanical failures. However, the optimization of the weight and cost when designing mechanical components or structures, linked to improved performance, leads to increasingly stressed components. Therefore a fatigue design approach must be done by the engineer. This paper shows the ex...

Journal: :International Journal of u- and e-Service, Science and Technology 2015

Journal: :Information Sciences 2023

Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary improve decoding performance different applications. However, it remains challenging extract more distinguishable features from decomposed components for recognition. In this w...

Journal: :Electronics 2022

Studies have shown that driver fatigue or unpleasant emotions significantly increase driving risks. Detecting and states providing timely warnings can effectively minimize the incidence of traffic accidents. However, existing models rarely combine emotion detection, there is space to improve accuracy recognition. In this paper, we propose a non-invasive efficient detection method for emotional ...

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