[HTML][HTML] Aviation and neurophysiology: A systematic review
This paper systematically reviews 20 years of publications (N= 54) on aviation and
neurophysiology. The main goal is to provide an account of neurophysiological changes …
neurophysiology. The main goal is to provide an account of neurophysiological changes …
Real-time monitoring of driver distraction: State-of-the-art and future insights
Driver distraction and inattention have been found to be major contributors to a large
number of serious road crashes. It is evident that distraction reduces to a great extent driver …
number of serious road crashes. It is evident that distraction reduces to a great extent driver …
[HTML][HTML] Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography …
Construction equipment operations that require high levels of attention can cause mental
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …
Early identification and detection of driver drowsiness by hybrid machine learning
Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of …
A systematic review of physiological signals based driver drowsiness detection systems
Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …
In-vehicle sensing for smart cars
Driving safety has been attracting more and more interest due to the unprecedented
proliferation of vehicles and the subsequent increase of traffic accidents. As such the …
proliferation of vehicles and the subsequent increase of traffic accidents. As such the …
Detection of mental fatigue state using heart rate variability and eye metrics during simulated flight
H Qin, X Zhou, X Ou, Y Liu… - Human Factors and …, 2021 - Wiley Online Library
Pilot mental fatigue is a growing concern in the aviation field due to its significant
contributions to human errors and aviation accidents. Long work hours, sleep loss, circadian …
contributions to human errors and aviation accidents. Long work hours, sleep loss, circadian …
EEG-based index for timely detecting user's drowsiness occurrence in automotive applications
Human errors are widely considered among the major causes of road accidents.
Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and …
Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and …
Drowsiness detection using portable wireless EEG
S Gangadharan, AP Vinod - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective The ever-increasing fatality rate due to traffic and
workplace accidents, resulting from drowsiness have been a persistent concern during the …
workplace accidents, resulting from drowsiness have been a persistent concern during the …
EEG signal multichannel frequency-domain ratio indices for drowsiness detection based on multicriteria optimization
Drowsiness is a risk to human lives in many occupations and activities where full awareness
is essential for the safe operation of systems and vehicles, such as driving a car or flying an …
is essential for the safe operation of systems and vehicles, such as driving a car or flying an …