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   Articles with "driver drowsiness" as a keyword



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Optical correlator based algorithm for driver drowsiness detection

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recommendations! Published in 2020 at "Optik"

DOI: 10.1016/j.ijleo.2019.164102

Abstract: Abstract The human eye and its characteristics (texture, gaze, and movement) have shown to be reliable in expressing human emotional states. A non-invasive eye tracking and state (open/close) estimation system is, consequently, fundamental for developing… read more here.

Keywords: detection; driver drowsiness; drowsiness detection; optical correlator ... See more keywords

Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-93765-0

Abstract: Driver drowsiness is a significant safety concern, contributing to numerous traffic accidents. To address this issue, researchers have explored electroencephalogram (EEG)-based detection systems. Due to the high-dimensional nature of EEG signals and the subtle temporal… read more here.

Keywords: detection; driver; driver drowsiness; human inspired ... See more keywords

Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3176451

Abstract: The majority of the accidents were happening perpetually due to driver drowsiness over the decades. Automation has been playing key role in many fields to provide conformity and improve the quality of life of the… read more here.

Keywords: aspects using; driver drowsiness; prediction based; multiple aspects ... See more keywords

Smart Edge-Based Driver Drowsiness Detection in Mobile Crowdsourcing

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3250834

Abstract: Traffic accidents caused by drowsy drivers represent a crucial threat to public safety. Recent statistics show that drowsy drivers cause an estimated 15.5% of fatal accidents. With the widespread use of mobile devices and roadside… read more here.

Keywords: detection; driver drowsiness; drowsiness detection; smart edge ... See more keywords

A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3424654

Abstract: Driver drowsiness is a major contributor to road traffic accidents. A system capable of detecting drowsiness and consequently warning drivers at an early stage could significantly reduce the number of drowsiness-related road accidents. Although different… read more here.

Keywords: eye activity; activity measures; driver drowsiness; drowsiness ... See more keywords

A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2024.3522111

Abstract: Drowsy driving is a leading cause of fatal traffic accidents worldwide. Drowsy driving has emerged from modern societal trends such as long working hours, heavy reliance on vehicles, and insufficient sleep. Despite considerable efforts by… read more here.

Keywords: vision transformers; system; drowsiness detection; driver drowsiness ... See more keywords

Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3561717

Abstract: With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. This study presents a robust and scalable driver drowsiness… read more here.

Keywords: detection; driver; driver drowsiness; model ... See more keywords

EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3519730

Abstract: Cross-dataset driver drowsiness recognition with EEG is important for the advancement of a calibration-free driver drowsiness recognition system. Nevertheless, this task is challenging due to the impact of distribution drift on recognition accuracy. In this… read more here.

Keywords: drowsiness recognition; recognition; cross dataset; driver drowsiness ... See more keywords

Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3134222

Abstract: Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and distraction while driving. Few works on the automated drowsiness detection problem, propose to extract physiological signals of the driver including ECG, EEG,… read more here.

Keywords: driver drowsiness; intelligent driver; drowsiness detection; model ... See more keywords

How to Induce Drowsiness When Testing Driver Drowsiness and Attention Warning (DDAW) Systems

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recommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3249755

Abstract: Driver drowsiness and attention warning systems are mandatory for new vehicles in the EU by 2022. Requirements for the test procedure for type approval are laid down in the Annex of EU regulation C/2021/2639. The… read more here.

Keywords: drowsiness attention; driver drowsiness; attention warning; drowsiness ... See more keywords

TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG

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recommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3347075

Abstract: Fatigue driving is a significant cause of road traffic accidents and associated casualties. Automatic assessment of driver drowsiness by monitoring electroencephalography (EEG) signals offer a more objective way to improve driving safety. However, most existing… read more here.

Keywords: drowsiness recognition; single channel; driver drowsiness; channel eeg ... See more keywords