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  Real-Time Driver Fatigue Detection Based on ELM

Liu, H., Zhang, T., Xie, H., Chen, H., & Li, F. (2016). Real-Time Driver Fatigue Detection Based on ELM. In J. Cao, K. Mao, J. Wu, & A. Lendasse (Eds.), Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II) (pp. 423-435). Cham, Switzerland: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-2C2F-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-2C30-1
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-319-28373-9_36.pdf (Publisher version)
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 Creators:
Liu, H, Author
Zhang, T, Author
Xie, H, Author
Chen, H1, Author           
Li, F, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: Driver fatigue is a serious road safety issue that results in thousands of road crashes every year. Image-based fatigue monitoring is one of the most important methods of avoiding fatigue-related accidents. In this paper, a vision-based real-time driver fatigue detection system based on ELM is proposed. The system has three main stages. The first stage performs facial features localization and tracking, by using the Viola–Jones face detector and the KLT algorithm. The second stage is the judgement of facial and fatigue status, applying twice ELM with an extremely fast learning speed. The last one is online learning, which can continuously improve ELM accuracy according to the user’s feedback. Multiple facial features (including the movement of eyes, head and mouth) are used to comprehensively assess the driver vigilance state. In comparison to backpropagation (BP), the experimental results showed that applying ELM has a better performance with much faster training speed.

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 Dates: 2016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-319-28373-9_36
 Degree: -

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Title: International Conference on Extreme Learning Machines (ELM 2015)
Place of Event: Hangzhou, China
Start-/End Date: 2015-12-15 - 2015-12-17

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Title: Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II)
Source Genre: Proceedings
 Creator(s):
Cao, J, Editor
Mao, K, Editor
Wu, J, Editor
Lendasse, A, Editor
Affiliations:
-
Publ. Info: Cham, Switzerland : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 423 - 435 Identifier: ISBN: 978-3-319-28372-2

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Title: Proceedings in Adaptation, Learning and Optimization
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: - Identifier: -