Memristive Hopfield neural network dynamics with heterogeneous activation functions and its application

Q Deng, C Wang, H Lin - Chaos, Solitons & Fractals, 2024 - Elsevier
Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

S Ansari, H Du, F Naghdy, A Sattar - Journal of Transport & Health, 2023 - Elsevier
Introduction With the announcement of novel Coronavirus disease 2019 (Covid-19) as a
pandemic by World Health Organization (WHO) in March 2020, the whole world went into a …

Human-machine shared driving: Challenges and future directions

S Ansari, F Naghdy, H Du - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

Cognitive effects of prolonged continuous human-machine interaction: The case for mental state-based adaptive interfaces

MF Hinss, AM Brock, RN Roy - Frontiers in Neuroergonomics, 2022 - frontiersin.org
Operators of complex systems across multiple domains (eg, aviation, automotive, and
nuclear power industry) are required to perform their tasks over prolonged and continuous …

CSF-GTNet: A novel multi-dimensional feature fusion network based on Convnext-GeLU-BiLSTM for EEG-signals-enabled fatigue driving detection

D Gao, P Li, M Wang, Y Liang, S Liu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Electroencephalography (EEG) signal has been recognized as an effective fatigue detection
method, which can intuitively reflect the drivers' mental state. However, the research on multi …

Validity of facial features' geometric measurements for real-time assessment of mental fatigue in construction equipment operators

I Mehmood, H Li, W Umer, A Arsalan… - Advanced Engineering …, 2022 - Elsevier
Operating construction equipment for extended periods of time may lead to mental fatigue
and, as a result, an increased risk of human error-related accidents and jeopardized health …

Automatic driver cognitive fatigue detection based on upper body posture variations

S Ansari, H Du, F Naghdy, D Stirling - Expert Systems with Applications, 2022 - Elsevier
Driver cognitive fatigue can significantly affect driving and may lead to fatal accidents. In this
regard, automatic detection of underload driver cognitive fatigue based on upper body …

Fusion of EEG and eye blink analysis for detection of driver fatigue

M Shahbakhti, M Beiramvand, E Nasiri… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Objective: The driver fatigue detection using multi-channel electroencephalography (EEG)
has been extensively addressed in the literature. However, the employment of a single …

Real-time fatigue driving detection system based on multi-module fusion

H Jia, Z Xiao, P Ji - Computers & Graphics, 2022 - Elsevier
Fatigue driving is an important cause of traffic accidents, so it is particularly important to
achieve effective fatigue driving detection. The current fatigue driving detection algorithm …

A hybrid driver fatigue and distraction detection model using AlexNet based on facial features

S Anber, W Alsaggaf, W Shalash - Electronics, 2022 - mdpi.com
Modern cities have imposed a fast-paced lifestyle where more drivers on the road suffer from
fatigue and sleep deprivation. Consequently, road accidents have increased, becoming one …