[HTML][HTML] A review of EEG signal features and their application in driver drowsiness detection systems

I Stancin, M Cifrek, A Jovic - Sensors, 2021 - mdpi.com
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Complex networks and deep learning for EEG signal analysis

Z Gao, W Dang, X Wang, X Hong, L Hou, K Ma… - Cognitive …, 2021 - Springer
Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

[HTML][HTML] EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection

T Tuncer, S Dogan, A Subasi - Biomedical Signal Processing and Control, 2021 - Elsevier
Brain activities can be evaluated by using Electroencephalogram (EEG) signals. One of the
primary reasons for traffic accidents is driver fatigue, which can be identified by using EEG …

A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics

LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …

Linking attention-based multiscale CNN with dynamical GCN for driving fatigue detection

H Wang, L Xu, A Bezerianos, C Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) signals have been proven to be one of the most predictive
and reliable indicators for estimating driving fatigue state. However, how to make full use of …

[HTML][HTML] Understanding mental fatigue and its detection: a comparative analysis of assessments and tools

K Kunasegaran, AMH Ismail, S Ramasamy, JV Gnanou… - PeerJ, 2023 - peerj.com
Mental fatigue has shown to be one of the root causes of decreased productivity and overall
cognitive performance, by decreasing an individual's ability to inhibit responses, process …

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 …

EEG fingerprints of task-independent mental workload discrimination

I Kakkos, GN Dimitrakopoulos, Y Sun… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In the nascent field of neuroergonomics, mental workload assessment is one of the most
important issues and has an apparent significance in real-world applications. Although prior …

Mental workload drives different reorganizations of functional cortical connectivity between 2D and 3D simulated flight experiments

I Kakkos, GN Dimitrakopoulos, L Gao… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Despite the apparent usefulness of efficient mental workload assessment in various real-
world situations, the underlying neural mechanism remains largely unknown, and studies of …

Self-attentive channel-connectivity capsule network for EEG-based driving fatigue detection

C Chen, Z Ji, Y Sun, A Bezerianos… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Deep neural networks have recently been successfully extended to EEG-based driving
fatigue detection. Nevertheless, most existing models fail to reveal the intrinsic inter-channel …