Comparative Analysis of Vision Transformers and CNN Models for Driver Fatigue Classification

Comparative Analysis of Vision Transformers and CNN Models for Driver Fatigue Classification

This study provides a comprehensive evaluation of Convolutional Neural Network (CNN) and Vision Transformer (ViT) models for driver fatigue classification, a critical issue in road safety. Using a custom driving behavior dataset, state-of-the-art CNN and ViT architectures, including VGG16, Efficien...

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Bibliographic Details
Main Authors: Fadhlan Hafizhelmi Kamaru Zaman, Kok Mun Ng, Syahrul Afzal Che Abdullah
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2025-05-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Deep learning
Convolutional Neural Network
Vision Transformer
Driving behavior
Embedded Systems,
Raspberry Pi
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3488
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