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International Journal of Intelligent Transportation Systems Research
Published in:

25-11-2021

A Model for Detecting Drowsiness Based on the Data Analysis of Drive Recorder

Published in: International Journal of Intelligent Transportation Systems Research | Issue 1/2022

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Abstract

In this study, we analyzed the actual vehicle driving data collected using a drive recorder for the purpose of detecting the drowsiness of the driver. Through the Lane Departure Warning of the drive recorder mounted on the transportation truck, we pay particular attention to the position in the lane of the traveling vehicle from the acquired data, and investigate the relationship with the drowsiness evaluated based on the facial expression of the driver. From the results, we were able to construct and evaluate a method for detecting drowsiness using drive recorder data and show its usefulness.
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Metadata
Title
A Model for Detecting Drowsiness Based on the Data Analysis of Drive Recorder
Publication date
25-11-2021
Published in
International Journal of Intelligent Transportation Systems Research / Issue 1/2022
Print ISSN: 1348-8503
Electronic ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-021-00284-z

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