Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal [PDF]
Sensors, 2022 Accidents caused by fatigue occur frequently, and numerous scholars have devoted tremendous efforts to investigate methods to reduce accidents caused by fatigued driving.
Robert Chen-Hao Chang +3 more
doaj +4 more sources
Effects of Automation and Fatigue on Drivers from Various Age Groups [PDF]
Safety, 2022 This study explores how drivers are affected by automation when driving in rested and fatigued conditions. Eighty-nine drivers (45 females, 44 males) aged between 20 and 85 years attended driving experiments on separate days, once in a rested and once in
Sadegh Arefnezhad +2 more
doaj +3 more sources
Efficient and Robust Driver Fatigue Detection Framework Based on the Visual Analysis of Eye States [PDF]
Promet (Zagreb), 2023 Fatigue detection based on vision is widely employed in vehicles due to its real-time and reliable detection results. With the coronavirus disease (COVID-19) outbreak, many proposed detection systems based on facial characteristics would be unreliable ...
Yancheng Ling, Xiaoxiong Weng
doaj +3 more sources
PERCLOS-based technologies for detecting drowsiness: current evidence and future directions. [PDF]
Sleep Adv, 2023 AbstractDrowsiness associated with sleep loss and circadian misalignment is a risk factor for accidents and human error. The percentage of time that the eyes are more than 80% closed (PERCLOS) is one of the most validated indices used for the passive detection of drowsiness, which is increased with sleep deprivation, after partial sleep restriction, at
Abe T.
europepmc +3 more sources
Research on the Prediction of Driver Fatigue Degree Based on EEG Signals [PDF]
SensorsObjective: Predicting driver fatigue degree is crucial for traffic safety. This study proposes a deep learning model utilizing electroencephalography (EEG) signals and multi-step temporal data to predict the next time-step fatigue degree indicator ...
Zhanyang Wang +3 more
doaj +2 more sources
A study of the effects of olfactory stimulus duration and concentration on sleep arousal under fatigue driving [PDF]
Frontiers in PsychologyOlfactory stimulation can alleviate passive task-related fatigue (PTR), but its mechanism and influencing factors are still unclear. This study used a controlled experimental design to explore the effect of mint odor on driving fatigue by comparing the ...
Faren Huo +3 more
doaj +2 more sources
PERCLOS: An Alertness Measure of the Past [PDF]
Driving Assessment Conference 2011, 2011 The growing number of fatigue related accidents in recent years has become a serious concern. Accidents caused by fatigue, or more precisely impaired alertness, in transportation and in mining operations involving heavy equipment can lead to substantial damage and loss of life.
Trutschel, Udo +4 more
openaire +5 more sources
Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework [PDF]
Scientific Reports, 2022 Drowsiness is a leading cause of accidents on the road as it negatively affects the driver’s ability to safely operate a vehicle. Neural activity recorded by EEG electrodes is a widely used physiological correlate of driver drowsiness.
Sadegh Arefnezhad +7 more
doaj +2 more sources
Active Vision-Based Attention Monitoring System for Non-Distracted Driving [PDF]
IEEE Access, 2021 Inattentive driving is a key reason of road mishaps causing more deaths than speeding or drunk driving. Research efforts have been made to monitor drivers' attentional states and provide support to drivers.
Lamia Alam +5 more
doaj +3 more sources
Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea [PDF]
SensorsIndividuals with obstructive sleep apnea (OSA) face increased accident risks due to excessive daytime sleepiness. PERCLOS, a recognized drowsiness detection method, encounters challenges from image quality, eyewear interference, and lighting variations ...
Riaz Minhas +7 more
doaj +2 more sources