Fatigue monitoring through wearables: A state-of-the-art review

NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Connected car: technologies, issues, future trends

R Coppola, M Morisio - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
The connected car—a vehicle capable of accessing to the Internet, of communicating with
smart devices as well as other cars and road infrastructures, and of collecting real-time data …

Driver fatigue detection based on convolutional neural networks using em‐CNN

Z Zhao, N Zhou, L Zhang, H Yan, Y Xu… - Computational …, 2020 - Wiley Online Library
With a focus on fatigue driving detection research, a fully automated driver fatigue status
detection algorithm using driving images is proposed. In the proposed algorithm, the …

Sensor applications and physiological features in drivers' drowsiness detection: A review

A Chowdhury, R Shankaran, M Kavakli… - IEEE sensors …, 2018 - ieeexplore.ieee.org
Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …

Non-invasive driver drowsiness detection system

HUR Siddiqui, AA Saleem, R Brown, B Bademci, E Lee… - Sensors, 2021 - mdpi.com
Drowsiness when in command of a vehicle leads to a decline in cognitive performance that
affects driver behavior, potentially causing accidents. Drowsiness-related road accidents …

A systematic survey of driving fatigue monitoring

Z Zhang, H Ning, F Zhou - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
The appearance of fatigue is not conducive to driving activities because this state can affect
driving performance and even cause life-threatening consequences. To reduce various …

Driving fatigue detection from EEG using a modified PCANet method

Y Ma, B Chen, R Li, C Wang, J Wang… - Computational …, 2019 - Wiley Online Library
The rapid development of the automotive industry has brought great convenience to our life,
which also leads to a dramatic increase in the amount of traffic accidents. A large proportion …

Quantitative evaluation of attraction intensity of highway landscape visual elements based on dynamic perception

X Qin, M Fang, D Yang, VW Wangari - Environmental Impact Assessment …, 2023 - Elsevier
In order to quantify the aesthetic attraction of visual elements of highway landscape space,
the concept of visual attraction intensity of highway landscape space is proposed, and the …

EEG-based driver drowsiness estimation using feature weighted episodic training

Y Cui, Y Xu, D Wu - IEEE transactions on neural systems and …, 2019 - ieeexplore.ieee.org
Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver's
drowsiness level by monitoring the electroencephalogram (EEG) signal and taking …

Fatigue driving detection method based on Time-Space-Frequency features of multimodal signals

J Shi, K Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
Fatigue detection for drivers in public transportation is crucial. To effectively detect the
driver's fatigue state, we investigated the deep learning-based fatigue detection method and …