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 …

Application of artificial intelligence techniques for brain-computer interface in mental fatigue detection: a systematic review (2011-2022)

H Yaacob, F Hossain, S Shari, SK Khare, CP Ooi… - IEEE …, 2023 - ieeexplore.ieee.org
Mental fatigue is a psychophysical condition with a significant adverse effect on daily life,
compromising both physical and mental wellness. We are experiencing challenges in this …

Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model

J Hu, J Min - Cognitive neurodynamics, 2018 - Springer
Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …

[HTML][HTML] A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms

IA Fouad - Ain Shams engineering journal, 2023 - Elsevier
Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …

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

R Hooda, V Joshi, M Shah - Chronic Diseases and Translational Medicine, 2021 - Elsevier
In the past decades, there have been numerous advancements in the field of technology.
This has led to many scientific breakthroughs in the field of medical sciences. In this, rapidly …

Study on a portable electrode used to detect the fatigue of tower crane drivers in real construction environment

F Wang, M Ma, X Zhang - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
In view of the serious accidents caused by the fatigue operation of tower crane drivers in
construction, this study puts forward a novel type of portable semi-dry electrode to detect the …

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 …

Developing a deep neural network for driver fatigue detection using EEG signals based on compressed sensing

S Sheykhivand, TY Rezaii, S Meshgini, S Makoui… - Sustainability, 2022 - mdpi.com
In recent years, driver fatigue has become one of the main causes of road accidents. As a
result, fatigue detection systems have been developed to warn drivers, and, among the …

[HTML][HTML] Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system

J Min, P Wang, J Hu - PLoS one, 2017 - journals.plos.org
Driver fatigue is an important contributor to road accidents, and fatigue detection has major
implications for transportation safety. The aim of this research is to analyze the multiple …

Automatic detection of driver fatigue based on EEG signals using a developed deep neural network

S Sheykhivand, TY Rezaii, Z Mousavi, S Meshgini… - Electronics, 2022 - mdpi.com
In recent years, detecting driver fatigue has been a significant practical necessity and issue.
Even though several investigations have been undertaken to examine driver fatigue, there …