Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
This paper reviews published papers related to neurophysiological measurements (
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …
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 …
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 …
financial losses. Therefore, researchers have been working for more than a decade on …
[HTML][HTML] Adaptive extreme edge computing for wearable devices
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …