A real-time driver fatigue identification method based on GA-GRNN

A real-time driver fatigue identification method based on GA-GRNN

It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generaliz...

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Bibliographic Details
Main Authors: Xiaoyuan Wang, Longfei Chen, Yang Zhang, Huili Shi, Gang Wang, Quanzheng Wang, Junyan Han, Fusheng Zhong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Public Health
Subjects:
fatigue driving
active safety warning system
machine vision
generalization regression neural network
genetic algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.991350/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.991350/full

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