SVM-Based Drivers Drowsiness Detection Using Machine Learning and Image Processing Techniques-Reference-Cited by-同舟云学术

SVM-Based Drivers Drowsiness Detection Using Machine Learning and Image Processing Techniques

Published:2020-11-10 Issue: Volume: Page:100-112
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Rasna P.,Smithamol M. B.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6353-9_10

Reference28 articles.

1. https://www.healthline.com/symptom/drowsiness (13 May 2019)

2. https://en.wikipedia.org/wiki/Fatigue (13 May 2019)

3. https://www.cs.bgu.ac.il/~benshahar/Teaching/Computational-Vision/StudentProjects/ICBV071/ICBV2007-1-IditGershoni/SleepinessDetSys.ppt (13 May 2019)

4. Forsman, P.M., Vila, B.J., Short, R.A., Mott, C.G., Van Dongen, H.P.A.: Efficient drivers drowsiness detection at moderate levels of drowsiness. Elsevier Ltd (2012)

5. Wang, X., Xu, C.: Driver drowsiness detection based on non-intrusive metrics considering individual specifics. Elsevier Ltd (2015)

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