Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State

Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State

Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced cognitive performance and increased risk. This article gives a complete analysis of a real-time, non-intrusive sleepiness detection system based on convolutional neural networks (CNNs). The device anal...

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Bibliographic Details
Main Authors: Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov, Fayzullo Nazarov, Young-Im Cho
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
drowsiness detection
convolutional neural networks (CNNs)
VGG16
yawning detection
eye closure detection
Haar cascade classifier
Online Access:https://www.mdpi.com/1424-8220/24/23/7810
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