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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 117))

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Abstract

Degree of driver fatigue test needs to achieve accurate and real-time eyes status identification, for this reason proposed an effective method based on the human eyes’ characteristics analysis of status identification. Using the Hough transform to detect human iris, setting threshold by experimental analysis to obtain the iris of threshold requirement, judge eye open and close condition. When the method can not detect characteristics of iris, adopting horizontal gray-level projection method for further integration. In VPM hardware platform, using C language to program experiment for the algorithm, experimental results show that this method can detect eyes open and close condition accurately and timely.

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References

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Correspondence to Hu Shu-jie .

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© 2012 Springer Science+Business Media Dordrecht

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Shu-jie, H. (2012). The Method of Eyes Status Identification Based on the Characteristics Analysis. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25437-6_37

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  • DOI: https://doi.org/10.1007/978-3-642-25437-6_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25436-9

  • Online ISBN: 978-3-642-25437-6

  • eBook Packages: EngineeringEngineering (R0)

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