Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking

Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking

It is critical today to provide safe and collision-free transport. As a result, identifying the driver’s drowsiness before their capacity to drive is jeopardized. An automated hybrid drowsiness classification method that incorporates the artificial neural network (ANN) and the gray wolf optimizer (...

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Bibliographic Details
Main Authors: Sarah S. Jasim, Alia K. Abdul Hassan, Scott Turner
Format: Article
Language:English
Published: Koya University 2022-05-01
Series:ARO-The Scientific Journal of Koya University
Subjects:
Artificial neural network
Drowsiness
Feature extraction
Gray wolf optimizer
Normalization
Segmentation
Online Access:http://aro.koyauniversity.org/index.php/aro/article/view/928

Internet

http://aro.koyauniversity.org/index.php/aro/article/view/928

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