Optical correlator based algorithm for driver drowsiness detection
Sign Up to like & getrecommendations! 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
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques
Sign Up to like & getrecommendations! 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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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
Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling
Sign Up to like & getrecommendations! 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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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
Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3128738
Abstract: Driverdrowsiness is an important cause of traffic accidents. Many studies using computer vision techniques to detect driver drowsiness states, such as slow blinking, yawning, and nodding, have demonstrated excellent potential. Although existing studies have made… read more here.
Keywords: fusion; driver drowsiness; detection; model ... See more keywords
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network
Sign Up to like & getrecommendations! Published in 2022 at "International journal of neural systems"
DOI: 10.2139/ssrn.4165836
Abstract: Accurate identification of driver's drowsiness state through Electroencephalogram (EEG) signals can effectively reduce traffic accidents, but EEG signals are usually stored in various clients in the form of small samples. This study attempts to construct… read more here.
Keywords: tree federated; based tree; driver drowsiness; federated learning ... See more keywords
Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191710736
Abstract: The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without intervening in… read more here.
Keywords: respiration signals; deep neural; driver drowsiness; multi level ... See more keywords