Results 51 to 60 of about 1,158 (175)

A LightGBM-Based EEG Analysis Method for Driver Mental States Classification [PDF]

, 2019
Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated ...
Babiloni, Fabio, Dai, Guojun, Kong, Wanzeng, Wu, Zhenhua, Yang, Chen, Zeng, Hong, Zhang, Hua, Zhang, Jiaming   +7 more
core   +1 more source

Real Time Driver Fatigue Detection System Based on Multi-Task ConNN

IEEE Access, 2020
Changes and progresses in information technologies have played an important role in the development of intelligent vehicle systems in recent years. Driver fatigue is an important factor in vehicle accidents.
Burcu Kir Savas, Yasar Becerikli
doaj   +1 more source

Workers’ Aging Management—Human Fatigue at Work: An Experimental Offices Study

Applied Sciences, 2020
The aging issue in the work context is becoming a significant element of the future sustainability of service and industrial companies. It is well known that with increasing worker age the problem of maintaining the performance and the safety level when ...
Marcello Fera, Vittoria De Padova, Valentina Di Pasquale, Francesco Caputo, Mario Caterino, Roberto Macchiaroli   +5 more
doaj   +1 more source

Control task substitution in semi-automated driving: does it matter what aspects are automated? [PDF]

, 2012
Objective: The study was designed to show how driver attention to the road scene and engagement of a choice of secondary tasks are affected by the level of automation provided to assist or take over the basic task of vehicle control. It was also designed
de Waard D., Greenberg J., Hollnagel E., Hughes P. K., Lai F., McKnight A. J., McKnight A. J., Tijerina L., Wheeler W., Young M. S.   +9 more
core   +1 more source

Fatigue State Detection Based on Multi-Index Fusion and State Recognition Network

IEEE Access, 2019
Fatigued driving detection in complex environments is a challenging problem. This paper proposes a fatigued driving detection algorithm based on multi-index fusion and a state recognition network, for further analysis of driver fatigue states. This study
Yingyu Ji, Shigang Wang, Yan Zhao, Jian Wei, Yang Lu   +4 more
doaj   +1 more source

Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions [PDF]

, 2013
Previous research has indicated that high levels of vehicle automation can result in reduced driver situation awareness, but has also highlighted potential benefits of such future vehicle designs through enhanced safety and reduced driver workload.
A. Hamish Jamson, Atchley, Bainbridge, Carbaugh, Desmond, Endsley, Frank C.H. Lai, Goodrich, Hancock, Hancock, Lal, Ma, Matthews, Michon, Minderhoud, Miura, Nagel, Natasha Merat, Norman, Oliver M.J. Carsten, Parasuraman, Rudin-Brown, Seppelt, Sharp, Stanton, Stanton, Stanton, Stanton, Toffetti, Verwey, Victor, Ward, Young, Young   +33 more
core   +1 more source

Fast Computation of PERCLOS and Saccadic Ratio

, 2015
This thesis describes the development of fast algorithms for the computation of PERcentage CLOSure of eyes (PERCLOS) and Saccadic Ratio (SR). PERCLOS and SR are two ocular parameters reported to be measures of alertness levels in human beings. PERCLOS is the percentage of time in which at least 80% of the eyelid remains closed over the pupil.
Dasgupta, Anirban, Routray, Aurobinda
openaire   +2 more sources

Research on Driving Fatigue Detection Based on PERCLOS

DEStech Transactions on Engineering and Technology Research, 2017
This paper expounded the mechanism on PERCLOS detecting and evaluating fatigue driving, and briefly introduced the composition of hardware evaluation system. This system firstly detected the face region roughly using skin-color model. Then the drivers’ eyes were located exactly on RGB by face geometry features.
CUIQING ZHANG, LIZHEN WEI, PEI ZHENG
openaire   +2 more sources

Driver Drowsiness Detection Based on Face Feature and PERCLOS

Journal of Physics: Conference Series, 2018
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
Suhandi Junaedi, Habibullah Akbar
openaire   +1 more source

Aplicación móvil para la detección de somnolencia de un conductor aplicando visión artificial

Revista Tecnológica, 2017
El presente trabajo se fundamenta en el desarrollo de una aplicación móvil para la detección de somnolencia de un conductor usando visión artificial,  la misma que es nativa para el sistema operativo Android, El proceso de detección de somnolencia consta
Mario Andrés Palma Jaramillo, Yeferson Torres Berrú   +1 more
doaj   +4 more sources