Results 21 to 30 of about 1,158 (175)
System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures. [PDF]
Sensors (Basel), 2023 Bajaj JS +5 more
europepmc +3 more sources
Sensors, 2021 This paper presents a camera-based prototype sensor for detecting fatigue and drowsiness in drivers, which are common causes of road accidents. The evaluation of the detector operation involved eight professional truck drivers, who drove the truck ...
Łukasz Dziuda +12 more
doaj +1 more source
Environmental and Work Factors That Drive Fatigue of Individual Haul Truck Drivers
Mining, 2022 Many factors influence the fatigue state of human beings, and fatigue has a significant adverse effect on the health and safety of the haulage operators in the mine.
Elaheh Talebi +2 more
doaj +1 more source
On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys
Entropy, 2021 Background: The detection of driver fatigue as a cause of sleepiness is a key technology capable of preventing fatal accidents. This research uses a fatigue-related sleepiness detection algorithm based on the analysis of the pulse rate variability ...
Luca Salvati +5 more
doaj +1 more source
Digital Transportation and Safety, 2023 To effectively mitigate the short-term fatigue effects of driving in extra-long tunnels, this study conducted natural driving experiments in five extra-long tunnels of varying lengths and tunnel group sections.
Ting Shang, Guan Lian, Lei Xie, Ao Zhou
doaj +1 more source
Driver Drowsiness Detection Based on Face Feature and Perclos
International Journal of Scientific Research in Science and Technology, 2021 Driving vehicles are complex and require undivided attention to prevent road accidents. Fatigue and distraction are a major risk factor that causes traffic accidents, severe injuries, and a high risk of death. Some progress has been made for driver drowsiness detection using a contact-based method that utilizes vehicle parts (such as steering angle and
S. Gopi +4 more
openaire +1 more source
Fatigue Driving Detection Method Based on Edge Computing [PDF]
Jisuanji gongcheng, 2021 Most of the existing fatigue driving detection methods require the collected driving data to be sent to the cloud for analysis.However,the real-time performance of the methods is often affected by the network coverage,response speed and other factors as ...
LOU Ping, YANG Xin, HU Jiwei, XIAO Zheng, YAN Junwei
doaj +1 more source
Psychophysiological models of hypovigilance detection: A scoping review
Psychophysiology, Volume 60, Issue 11, November 2023., 2023 Abstract Hypovigilance represents a major contributor to accidents. In operational contexts, the burden of monitoring/managing vigilance often rests on operators. Recent advances in sensing technologies allow for the development of psychophysiology‐based (hypo)vigilance prediction models.
Alexandre Marois +7 more
wiley +1 more source
Engineering Reports, Volume 5, Issue 1, January 2023., 2023 (1) The study found that the pupil area change rate, heart beat change rate and eyelid closure have good consistency for characterizing the driver's load. (2) In mountainous road, the driving load is different under different alignment conditions. The driving load is the largest when turning left, the second when turning right, and the smallest when ...
Meng Yunwei +6 more
wiley +1 more source
Research on fatigue detection based on visual features
IET Image Processing, Volume 16, Issue 4, Page 1044-1053, March 2022., 2022 Abstract The high incidence of traffic accidents brings immeasurable losses to life. In order to avoid such crises, researchers and automakers have used many methods to solve this problem. Among them, technology based on visual features is widely used in driver fatigue detection.
Guangzhe Zhao +3 more
wiley +1 more source