EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues ITM Web Conf., 12 (2017) 01019 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Estimation of driver vigilance level for various cognitive distractions when drivers use advanced driving assistance functions

Mengjiao Wu, Xuesong Wang, Chris Lee, Shikun Liu, Jiawen Chen and Yiran Sun
Transportation Research Part F: Traffic Psychology and Behaviour 109 571 (2025)
https://doi.org/10.1016/j.trf.2024.12.026

Fatigue and drowsiness detection of the car driver based on image processing and artificial intelligence on the mobile phone

Daniyal Haghparast and Ali Mohammad Fotouhi
Signal and Data Processing 21 (4) 97 (2025)
https://doi.org/10.61186/jsdp.21.4.97

Driver Head–Hand Cooperative Action Recognition Based on FMCW Millimeter-Wave Radar and Deep Learning

Lianlong Zhang, Xiaodong Chen, Zexin Chen, Jiawen Zheng and Yinliang Diao
Sensors 25 (8) 2399 (2025)
https://doi.org/10.3390/s25082399

A survey of fatigue measures and models

Antonio Laverghetta, Minh Tran, Alec Braynen, Stephen Steinle, Bekhzodbek Moydinboyev, Heba Daas and John Licato
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 22 (2) 147 (2025)
https://doi.org/10.1177/15485129231158580

Efficient Driver Drowsiness Detection Using Spatiotemporal Features with Support Vector Machine

Dorra Lamouchi, Yacine Yaddaden, Jérôme Parent and Raef Cherif
International Journal of Intelligent Transportation Systems Research (2025)
https://doi.org/10.1007/s13177-025-00478-9

Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion

Lingjian Kong, Kai Xie, Kaixuan Niu, Jianbiao He and Wei Zhang
Sensors 24 (2) 455 (2024)
https://doi.org/10.3390/s24020455

Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review

Xiao Yan and Ashardi bin Abas
IECE Transactions on Intelligent Unmanned Systems 1 (1) 4 (2024)
https://doi.org/10.62762/TIUS.2024.767724

A novel deep learning‐based technique for driver drowsiness detection

Prithwijit Mukherjee and Anisha Halder Roy
Human Factors and Ergonomics in Manufacturing & Service Industries 34 (6) 667 (2024)
https://doi.org/10.1002/hfm.21056

Influence of occupational risk factors for road traffic crashes among professional drivers: systematic review

Markus D. Jakobsen, Karina Glies Vincents Seeberg, Mette Møller, et al.
Transport Reviews 43 (3) 533 (2023)
https://doi.org/10.1080/01441647.2022.2132314

Eeg-based mental states assessment of three-wheeler drivers in different environments and traffic conditions

Mukesh Kumar Kamti, Rauf Iqbal and Pallabjyoti Kakoti
Transportation Research Part F: Traffic Psychology and Behaviour 99 98 (2023)
https://doi.org/10.1016/j.trf.2023.10.011

T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network

Bo Peng, Yongqing Zhang, Manqing Wang, Jun Chen and Dongrui Gao
Computational Biology and Chemistry 104 107863 (2023)
https://doi.org/10.1016/j.compbiolchem.2023.107863

A comprehensive review of approaches to detect fatigue using machine learning techniques

Rohit Hooda, Vedant Joshi and Manan Shah
Chronic Diseases and Translational Medicine 8 (1) 26 (2022)
https://doi.org/10.1016/j.cdtm.2021.07.002

Learning State Assessment in Online Education Based on Multiple Facial Features Detection

Deguang Li, Zhanyou Cui, Fukang Cao, et al.
Computational Intelligence and Neuroscience 2022 1 (2022)
https://doi.org/10.1155/2022/3986470

Drowsiness Detection Using Ocular Indices from EEG Signal

Sreeza Tarafder, Nasreen Badruddin, Norashikin Yahya and Arbi Haza Nasution
Sensors 22 (13) 4764 (2022)
https://doi.org/10.3390/s22134764

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

Imran Mehmood, Heng Li, Waleed Umer, Aamir Arsalan, M. Saad Shakeel and Shahnawaz Anwer
Advanced Engineering Informatics 54 101777 (2022)
https://doi.org/10.1016/j.aei.2022.101777

Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021

Mukesh Kumar Kamti and Rauf Iqbal
Transportation Research Record: Journal of the Transportation Research Board 2676 (12) 485 (2022)
https://doi.org/10.1177/03611981221096118

Toward practical driving fatigue detection using three frontal EEG channels: a proof-of-concept study

Xucheng Liu, Gang Li, Sujie Wang, et al.
Physiological Measurement 42 (4) 044003 (2021)
https://doi.org/10.1088/1361-6579/abf336

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

Lei Hou, Haosen Chen, Guomin (Kevin) Zhang and Xiangyu Wang
Applied Sciences 11 (2) 821 (2021)
https://doi.org/10.3390/app11020821

Evaluation of a Fatigue Detector Using Eye Closure-Associated Indicators Acquired from Truck Drivers in a Simulator Study

Łukasz Dziuda, Paulina Baran, Piotr Zieliński, Krzysztof Murawski, Mariusz Dziwosz, Mariusz Krej, Marcin Piotrowski, Roman Stablewski, Andrzej Wojdas, Włodzimierz Strus, Henryk Gasiul, Marcin Kosobudzki and Alicja Bortkiewicz
Sensors 21 (19) 6449 (2021)
https://doi.org/10.3390/s21196449

A Low-Cost Prototype for Driver Fatigue Detection

Tiago Meireles and Fábio Dantas
Multimodal Technologies and Interaction 3 (1) 5 (2019)
https://doi.org/10.3390/mti3010005

Design and Implementation of a Drowsiness-Fatigue-Detection System Based on Wearable Smart Glasses to Increase Road Safety

Wan-Jung Chang, Liang-Bi Chen and Yu-Zung Chiou
IEEE Transactions on Consumer Electronics 64 (4) 461 (2018)
https://doi.org/10.1109/TCE.2018.2872162