Results 31 to 40 of about 1,740 (178)
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
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
Intelligent In‐Vehicle Interaction Technologies
Advanced Intelligent Systems, Volume 4, Issue 2, February 2022., 2022 Human–vehicle interaction is integral for the user acceptance and trust toward autonomous vehicles. Growing number of interior sensors integrated in the vehicle enable multimodal interaction between the vehicle and the humans. Herein, a comprehensive state‐of‐art for human‐vehicle interaction is provided in terms of interior sensing technologies and ...
Prajval Kumar Murali +2 more
wiley +1 more source
Correlation between Cognitive Function and Time‐Series Variation in Eyelid Opening and Closing from Facial Videos During Neuropsychological Tests [PDF]
Alzheimers DementAbstract Background The application of image recognition technology has been spreading to dementia screening. However, cognitive function fluctuates due to mental and physical conditions. Therefore, we believe that it may be necessary to evaluate facial information over time after considering these factors.
Umematsu T +4 more
europepmc +2 more sources
Analyzing Multi-Mode Fatigue Information from Speech and Gaze Data from Air Traffic Controllers
Aerospace, 2023 In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector ...
Lin Xu +4 more
doaj +1 more source
An embedded intelligence engine for driver drowsiness detection
IET Computers &Digital Techniques, Volume 16, Issue 1, Page 10-18, January 2022., 2022 Abstract Motor vehicle crashes involving drowsy driving are huge in number all over the world. Many studies revealed that 10%–30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. This drowsiness of drivers can be detected using various methods, for example, algorithms based on behavioural ...
Shirisha Vadlamudi, Ali Ahmadinia
wiley +1 more source