A review on driver drowsiness based on image, bio-signal, and driver behavior

BG Pratama, I Ardiyanto, TB Adji - 2017 3rd International …, 2017 - ieeexplore.ieee.org
The ratio of accidents caused by drowsiness, increases slightly year by year. The most
victims of this case are young adult and mostly happens in developed country. Therefore, to …

Toward workload-based adaptive automation: The utility of fNIRS for measuring load in multiple resources in the brain

LM Hirshfield, C Wickens, E Doherty… - … Journal of Human …, 2024 - Taylor & Francis
We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based
adaptive automation through the lens of multiple resource theory. We focus on the criteria of …

Shedding light on the prefrontal correlates of mental workload in simulated driving: A functional near-infrared spectroscopy study

CF Geissler, J Schneider, C Frings - Scientific reports, 2021 - nature.com
Optimal mental workload plays a key role in driving performance. Thus, driver-assisting
systems that automatically adapt to a drivers current mental workload via brain–computer …

Detection of primary RGB colors projected on a screen using fNIRS

X Liu, KS Hong - Journal of Innovative Optical Health Sciences, 2017 - World Scientific
In this study, functional near-infrared spectroscopy (fNIRS) is utilized to measure the
hemodynamic responses (HRs) in the visual cortex of 14 subjects (aged 22–34 years) …

Drowsiness detection using ocular indices from EEG signal

S Tarafder, N Badruddin, N Yahya, AH Nasution - Sensors, 2022 - mdpi.com
Drowsiness is one of the main causes of road accidents and endangers the lives of road
users. Recently, there has been considerable interest in utilizing features extracted from …

The circadian effect on psychophysiological driver state monitoring

SI Kaduk, APJ Roberts, NA Stanton - Theoretical Issues in …, 2021 - Taylor & Francis
Driving is an everyday activity but also brings a substantial risk. Driver state monitoring is a
potential method to alleviate such risk by detecting unsafe driver states. Monitoring systems …

fNIRS-based classification of mind-wandering with personalized window selection for multimodal learning interfaces

R Liu, E Walker, L Friedman, CM Arrington… - Journal on multimodal …, 2021 - Springer
Automatic detection of an individual's mind-wandering state has implications for designing
and evaluating engaging and effective learning interfaces. While it is difficult to differentiate …

Investigating the relationship between CSAT scores and prefrontal fNIRS signals during cognitive tasks using a quantum annealing algorithm

Y Kim, J Choi, B Kim, Y Park, J Cha, J Choi, S Han - Scientific Reports, 2024 - nature.com
Academic achievement is a critical measure of intellectual ability, prompting extensive
research into cognitive tasks as potential predictors. Neuroimaging technologies, such as …

Understanding Construction Workers' Risk Perception Using Neurophysiological Responses

K Lee, S Pooladvand, B Esmaeili… - Journal of Computing in …, 2024 - ascelibrary.org
In the dynamic construction environment, workers' safety heavily depends on their ability to
effectively perceive and react to hazards. Accordingly, studies have assessed the status of …

A survey of fatigue measures and models

A Laverghetta Jr, M Tran, A Braynen… - The Journal of …, 2023 - journals.sagepub.com
In long, stressful operational periods, military personnel face numerous challenges that may
compromise their performance, an especially important one being fatigue. Current literature …