Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection

Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection

Driver fatigue is a key factor in road accidents worldwide, requiring effective real-time detection mechanisms. Traditional deep neural network (DNN)-based solutions have shown promising results in detecting drowsiness; however, they are often less suitable for real-time applications due to their hi...

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Bibliographic Details
Main Authors: Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, George Suciu, Khattab M. Ali Alheeti, Nayef A. M. Alduais, Nawar Alaa Hussein Al-Sammak
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Big Data and Cognitive Computing
Subjects:
deep neural networks (DNNs)
fast neighbourhood component analysis (FNCA)
driver drowsiness detection
EEG data analysis
traffic safety
Online Access:https://www.mdpi.com/2504-2289/9/5/126
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