A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time scenarios

A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time scenarios

Driver drowsiness is one of the leading causes of road accidents resulting in serious physical injuries, fatalities, and substantial economic losses. A sophisticated Driver Drowsiness Detection (DDD) system can alert the driver in case of abnormal behavior and avoid catastrophes. Several studies hav...

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Bibliographic Details
Main Authors: Amina Turki, Omar Kahouli, Saleh Albadran, Mohamed Ksantini, Ali Aloui, Mouldi Ben Amara
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
driver drowsiness detection (ddd) system
deep transfer learning
convolutional neural networks (cnns)
the chebyshev distance
Online Access:https://aimspress.com/article/doi/10.3934/math.2024156?viewType=HTML

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https://aimspress.com/article/doi/10.3934/math.2024156?viewType=HTML

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