[HTML][HTML] Convolutional neural network for drowsiness detection using EEG signals
S Chaabene, B Bouaziz, A Boudaya, A Hökelmann… - Sensors, 2021 - mdpi.com
Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …
signal processing. Recently, various deep learning (DL) researches based on the EEG …
Towards reliable driver drowsiness detection leveraging wearables
Driver drowsiness is a significant factor in road crashes. However, existing solutions for
driver drowsiness detection have major drawbacks of requiring special hardware …
driver drowsiness detection have major drawbacks of requiring special hardware …
TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG
Fatigue driving is a significant cause of road traffic accidents and associated casualties.
Automatic assessment of driver drowsiness by monitoring electroencephalography (EEG) …
Automatic assessment of driver drowsiness by monitoring electroencephalography (EEG) …
A hybrid approach based on behavioural and physiological data for driver monitoring systems
S Montanaro, E Santoro, E Landolfi… - 2022 European …, 2022 - ieeexplore.ieee.org
Driver Monitoring Systems are gaining increasing interest from car-makers, being featured
by technologies capable to improve road safety levels and prevent accidents. Currently …
by technologies capable to improve road safety levels and prevent accidents. Currently …
An Effort to Detect Vehicle Driver's Drowsy State Based on the Speed Analysis
N Shilov, A Kashevnik - 2021 29th Conference of Open …, 2021 - ieeexplore.ieee.org
Detection of the driver's drowsy state is still an actual task since it is a reason for a significant
number of traffic accidents. The carried out literature review showed that a significant …
number of traffic accidents. The carried out literature review showed that a significant …
Next–Gen Driver Monitoring System
S Murugan, G Abiishek, P Kumar… - 2024 6th Global Power …, 2024 - ieeexplore.ieee.org
the Next Gen Driver Monitoring System utilizes advanced techniques to enhance road safety
by detecting driver drowsiness, nodding, and blink patterns. Integrating cutting-edge …
by detecting driver drowsiness, nodding, and blink patterns. Integrating cutting-edge …
Driver's State Identification Based on the Vehicle Speed Analysis Taking into Account the Driving Context
N Shilov - Proceedings of the Computational Methods in Systems …, 2021 - Springer
Today, human drivers remain the main cause of traffic accidents. While not always being the
main accident reasons, drowsiness and fatigue are often indirect reasons for accidents. As a …
main accident reasons, drowsiness and fatigue are often indirect reasons for accidents. As a …
Limitations of CNN-Model and Enhanced AI-Model for Driver Drowsiness Detection
S Nikhila, VS Reddy - CVR Journal of Science and Technology, 2022 - cvr.ac.in
Contemporarily driver drowsiness is one of the major universal facts of road accidents
across the globe. Integrating enhanced Information Technology (IT) for instance Neural …
across the globe. Integrating enhanced Information Technology (IT) for instance Neural …