Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driver. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. These driver impairments need to be detected and predicted in order to reduce critical situations and road a...

Driver fatigue has become one of the major causes of traffic accidents, and is a complicated physiological process. However, there is no effective method to detect driving fatigue. Electroencephalography (EEG) signals are complex, unstable, and non-linear; non-linear analysis methods, such as entropy, maybe more appropriate. This study evaluates a combined entropy-based processing method of EEG...

Driver fatigue is one of the important factors that cause traffic accidents, and the ever-increasing number due to diminished driver’s vigilance level has become a problem of serious concern to society. Drivers with a diminished vigilance level suffer from a marked decline in their abilities of perception, recognition, and vehicle control, and therefore pose serious danger to their own life and...

According to the characteristics that fatigue study cannot reveal fatigue mechanism and nonlinear influence factors of vehicle driving closed-loop system defects, this paper proposes a driver model inversion method for studying the driver's fatigue diagnosis. Furthermore, the new methods is divided into two steps: 1. using the forecast looks neural network model to build the driver vehicle road...

Driver fatigue, recognized as a major safety problem in the transportation industry, is strongly influenced by employee work and sleep schedules. The work and rest hours of truck drivers have been regulated by Hours-of-Service (HoS) rules in the U.S since 1938, but it has become increasingly apparent these rules are inconsistent with the science of sleep and fatigue. We present and assess an in...

background: multiple sclerosis (ms) is a neurological disease with fatigue as most prevalent symptom. psychopathological symptoms, physical and mental dysfunctions and body mass abnormalities potentially could deteriorate fatigue. thus, in this study, we aimed at evaluating the effect of these factors on fatigue severity of ms patients. methods: in this cross-sectional study, 162 patients with ...

The objective was to study changes in EEG time-domain Kolmogorov complexity under different mental fatigue state and to evaluate mental fatigue using Lempel-Ziv complexity analysis of spontaneous EEG in healthy human subjects. EEG data for healthy subjects were acquired using a net of 2 electrodes (Fp1 and Fp2) at PM 4:00, AM 12:00 and AM 3:00 in the 24 hours sleep-deprived mental fatigue exper...

The article presents a review on vision-based solutions for driver assistance. These solutions support the driver to keep safe travel conditions. They use diverse sensing modalities for the recognition of the environment around the vehicle. Upon detection a critical safety situation they supply the driver with the warning. Four assistance systems have been addressed: TSR Traffic Sign Recognitio...

The effects of long term mental arithmetic task on psychology are investigated by subjective self-reporting measures and action performance test. Based on electroencephalogram (EEG) and heart rate variability (HRV), the impacts of prolonged cognitive activity on central nervous system and autonomic nervous system are observed and analyzed. Wavelet packet parameters of EEG and power spectral ind...

background: fatigue is one of the most common symptoms in primary care that adversely affects work, family life, and social relations. the purpose of this study was to survey the relationship between work schedule and fatigue among the emergency personnel of isfahan, iran using the checklist individual strength (cis) standard method in 2010. methods: this cross-sectional study was performed on ...