Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

G Borghini, L Astolfi, G Vecchiato, D Mattia… - … & Biobehavioral Reviews, 2014 - Elsevier
This paper reviews published papers related to neurophysiological measurements (
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …

[HTML][HTML] A comprehensive survey of driving monitoring and assistance systems

MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

Driver behavior analysis for safe driving: A survey

S Kaplan, MA Guvensan, AG Yavuz… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

[HTML][HTML] Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology

J Li, H Li, W Umer, H Wang, X Xing, S Zhao… - Automation in …, 2020 - Elsevier
In the construction industry, the operator's mental fatigue is one of the most important causes
of construction equipment-related accidents. Mental fatigue can easily lead to poor …

Driver inattention monitoring system for intelligent vehicles: A review

Y Dong, Z Hu, K Uchimura… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

Real-time classification for autonomous drowsiness detection using eye aspect ratio

CBS Maior, MJ das Chagas Moura… - Expert Systems with …, 2020 - Elsevier
Various automated systems require human supervision in complex environments: this can
be a monotonous task but still requiring a significant degree of attention. If those tasks are …

[HTML][HTML] Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data

S Ahn, T Nguyen, H Jang, JG Kim… - Frontiers in human …, 2016 - frontiersin.org
Investigations of the neuro-physiological correlates of mental loads, or states, have attracted
significant attention recently, as it is particularly important to evaluate mental fatigue in …

Human-robot teaming in construction: Evaluative safety training through the integration of immersive technologies and wearable physiological sensing

S Shayesteh, A Ojha, Y Liu, H Jebelli - Safety science, 2023 - Elsevier
Occupational safety has become a major issue in the construction industry over the years.
Studies have shown that work-related accidents are mostly caused by the unsafe behaviors …

Dynamic driver fatigue detection using hidden Markov model in real driving condition

R Fu, H Wang, W Zhao - Expert Systems with Applications, 2016 - Elsevier
Driver's states in successive time slices are not independent, especially, fatigue is one of a
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …