Fatigue detection in a smart car driving

Driving type and environment as well as driving IoT fatigue are issues that affect road safety and can lead to serious accidents. Early detection of fatigue in drivers is therefore of paramount importance to prevent road accidents. This article discusses various methods of detecting fatigue in drivi...

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Bibliographic Details
Published in2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) pp. 1 - 7
Main Authors Anis, Jouini, Lamia, Bouafif, Adnen, Cherif
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.04.2024
Subjects
Artificial intelligence
EDAS
facial recognition
Fatigue
fatigue detection
IoT
Machine learning
Protocols
Real-time systems
Road accidents
Road safety
Sensor phenomena and characterization
smart driving
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Summary:Driving type and environment as well as driving IoT fatigue are issues that affect road safety and can lead to serious accidents. Early detection of fatigue in drivers is therefore of paramount importance to prevent road accidents. This article discusses various methods of detecting fatigue in driving, including physiological measures, behavioral signals, and onboard loT sensors. It highlights the progress made in this field, the challenges to overcome, and future prospects for improving fatigue detection while driving. It also touches on the use of Intelligent Transportation Systems, Advanced Driver Assistance Systems, levels of automation in driving according to SAE International and ADAS protocols and infrastructure, and the integration of artificial intelligence and machine learning for fatigue detection.
DOI:10.1109/IC_ASET61847.2024.10596184