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Detecting Driver’s Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System Cover

Detecting Driver’s Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 4 (October 2019)
By: Miguel Costa,  Daniel Oliveira,  Sandro Pinto and  Adriano Tavares  
Open Access
|Aug 2019
Authors

Authors

Miguel Costa

miguelcosta_mapc@live.com.pt

Centro Algoritmi, Universidade do Minho, Guimarães, Portugal

Daniel Oliveira

Centro Algoritmi, Universidade do Minho, Guimarães, Portugal

Sandro Pinto

Centro Algoritmi, Universidade do Minho, Guimarães, Portugal

Adriano Tavares

Centro Algoritmi, Universidade do Minho, Guimarães, Portugal
DOI: https://doi.org/10.2478/jaiscr-2019-0007
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Language: English
Page range: 247 - 266
Submitted on: Nov 8, 2018
Accepted on: Jan 20, 2019
Published on: Aug 30, 2019
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
driver monitoring system,
intelligent transportation systems,
driver distraction monitoring,
driver fatigue monitoring
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2019 Miguel Costa, Daniel Oliveira, Sandro Pinto, Adriano Tavares, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 9 (2019): Issue 4 (October 2019)
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