Driver State Detection Based on Cardiovascular System and Driver Reaction Information Using a Graphical Model

Journals Menu

Follow SCIRP

ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.org/journal/jtts
E-mail: jtts@scirp.org

"Driver State Detection Based on Cardiovascular System and Driver Reaction Information Using a Graphical Model"
written by Thanh Tung Nguyen, Hirofumi Aoki, Anh Son Le, Hirano Akio, Kunimoto Aoki, Makoto Inagami, Tatsuya Suzuki,
published by Journal of Transportation Technologies, Vol.11 No.2, 2021

has been cited by the following article(s):

[1]	Comparative Study of Machine Learning Algorithms in Classifying HRV for the Driver's Physiological Condition
	Civil Engineering …, 2023

[2]	Effect of Driver Response on Efficiency of Vehicular Communication using Penalty Cost Function (EVCPCF)
	The Open Transportation Journal, 2023

[3]	Relating Driver Behaviour and Response to Messages through HMI in Autonomous and Connected Vehicular Environment
	Cogent Engineering, 2022

[1]	Can Pupillometry be used to Detect Driver Hazard Awareness? 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024 DOI:10.1109/SMC54092.2024.10831670

[2]	Effect of Driver Response on Efficiency of Vehicular Communication using Penalty Cost Function (EVCPCF) The Open Transportation Journal, 2023 DOI:10.2174/18744478-v17-e230111-2022-32

[3]	Relating Driver Behaviour and Response to Messages through HMI in Autonomous and Connected Vehicular Environment Cogent Engineering, 2022 DOI:10.1080/23311916.2021.2002793

[4]	Relating Driver Behaviour and Response to Messages through HMI in Autonomous and Connected Vehicular Environment Cogent Engineering, 2022 DOI:10.1080/23311916.2021.2002793

Follow SCIRP