Automatic driver cognitive fatigue detection based on upper body posture variations
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 …
regard, automatic detection of underload driver cognitive fatigue based on upper body …
Driver mental fatigue detection based on head posture using new modified reLU-BiLSTM deep neural network
Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …
intelligent vehicles. There are various methods, based on measuring the physiological …
Toward practical driving fatigue detection using three frontal EEG channels: A proof-of-concept study
Objective. Although various driving fatigue detection strategies have been introduced, the
limited practicability is still an obstacle for the real application of these technologies. This …
limited practicability is still an obstacle for the real application of these technologies. 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 …
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …
Regression-based continuous driving fatigue estimation: Toward practical implementation
Mental fatigue in drivers is one of the leading causes that give rise to traffic accidents.
Electroencephalography (EEG)-based driving fatigue studies showed promising …
Electroencephalography (EEG)-based driving fatigue studies showed promising …
Automatic detection of driver fatigue based on EEG signals using a developed deep neural network
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 …
Even though several investigations have been undertaken to examine driver fatigue, there …
A new hand-modeled learning framework for driving fatigue detection using EEG signals
Fatigue detection is a critical application area for machine learning, and variable input data
have been utilized to detect fatigue. One of the most commonly used inputs for fatigue …
have been utilized to detect fatigue. One of the most commonly used inputs for fatigue …
Dynamic driver fatigue detection using hidden Markov model in real driving condition
R Fu, H Wang, W Zhao - Expert Systems with Applications, 2016 - Elsevier
Driver's states in successive time slices are not independent, especially, fatigue is one of a
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …
cognitive state that is developing over time. Meanwhile, driver fatigue is also influenced by …
Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic
C Zhao, C Zheng, M Zhao, Y Tu, J Liu - Expert Systems with Applications, 2011 - Elsevier
Long-term driving is a significant cause of fatigue-related accidents. Driving mental fatigue
has major implications for transportation system safety. Monitoring physiological signal while …
has major implications for transportation system safety. Monitoring physiological signal while …
Automated detection of driver fatigue based on AdaBoost classifier with EEG signals
J Hu - Frontiers in computational neuroscience, 2017 - frontiersin.org
Purpose: Driving fatigue has become one of the important causes of road accidents, there
are many researches to analyze driver fatigue. EEG is becoming increasingly useful in the …
are many researches to analyze driver fatigue. EEG is becoming increasingly useful in the …