Machine Learning Systems for Detecting Driver Drowsiness-Reference-Cited by-同舟云学术

Machine Learning Systems for Detecting Driver Drowsiness

Published:2008-10-06 Issue: Volume: Page:97-110
ISSN:
Container-title:In-Vehicle Corpus and Signal Processing for Driver Behavior
language:
Short-container-title:

Author:

Vural Esra,Çetin Müjdat,Erçil Aytül,Littlewort Gwen,Bartlett Marian,Movellan Javier

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-79582-9_8.pdf

Reference13 articles.

1. DOT: Intelligent vehicle initiative. United States Department of Transportation. www.its.dot.gov/ivi/ivi.htm./

2. DOT: Saving lives through advanced vehicle safety technology. USA Department of Transportation. www.its.dot.gov/ivi/docs/AR2001.pdf

3. Takei, Y., Furukawa, Y.: Estimate of driver’s fatigue through steering motion. In Man and Cybernetics, 2005 IEEE International Conference, Volume 2, pp. 1765–1770, 2005.

4. Igarashi, K., Takeda, K., Itakura, F., Abut: Chapter 17 in DSP for In-Vehicle and Mobile Systems, H. Abut, J.H.L. Hansen, and K. Takeda (eds), Springer Science-Business, New York, 2005

5. Cobb, W.: Recommendations for the Practice of Clinical Neurophysiology, Elsevier, Amsterdam, 1983.

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