Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and Multivariate Statistical Process Control-Reference-Cited by-同舟云学术

Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and Multivariate Statistical Process Control

Published:2016-01-01 Issue:1 Volume:9 Page:10-17
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Abe Erika¹,Fujiwara Koichi¹,Hiraoka Toshihiro¹,Yamakawa Toshitaka²,Kano Manabu¹

Affiliation:

1. Department of Systems Science, Kyoto University

2. Priority Organization for Innovation and Excellence, also with the Department of Computer Science and Electrical Engineering, Kumamoto University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.9746/jcmsi.9.10

Reference18 articles.

1. [1] European Sleep Research Society: Sleepiness at the wheel, ASFA, 2013.

2. [2] JUKI: A drowsy driving warning device “SleepBuster,” http://www.juki.co.jp/sleepbuster/sleep-buster/sleep-buster.html, accessed March 17, 2014.

3. [3] J. Nishiyama, S. Kinoshita, and Y. Hirata: Prediction of drowsiness by the vestibulo-ocular reflex, Transactions of the Japanese Society for Medical and Biological Engineering, Vol. 48, No. 1, pp. 1-10, 2010.

4. [4] M. Yanagidaira and M. Yasushi: Development of a driver's condition monitor, Pioneer R&D, Vol. 14, No. 3, pp. 17-27, 2004.

5. [5] Task Force of the European Society of Cardiology and the North American Society of Pacing and Electro-physiology: Standards of heart rate variability, European Heart Journal, Vol. 17, No. 3, pp. 354-381, 1996.

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