Study on Driver's Unsafe Gaze Behavior Detection Technology

Peng Wang; Zhi Qiang Liu

doi:10.4028/www.scientific.net/AMM.427-429.1903

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Study on Driver's Unsafe Gaze Behavior Detection...

Study on Driver's Unsafe Gaze Behavior Detection Technology

Abstract:

A system for detecting and evaluating drivers gaze behavior was proposed. A system for recognizing the drivers unsafe gaze behavior was established using multi-level information and fusion decision method as well. The driving environment and condition is complex as well as the gaze behavior characteristics, and given that, a solution consists of patten classification and the multi-information decision-level fusion were put forward to estimate the different kind model of the driver's gaze behavior. In order to test the proposed strategies,the real time driver's gaze behavior detection system was established. The T characteristic curve proposed through the abnormal behavior parameters of the transverse width between the eyes and the vertical distance between mouth and the midpoint of two eyes, combined with the driver's eyelid closure and the proportion and location characteristics of iris - sclera were studied to get the characterization of the drivers gaze status information. The simulation results indicate that the adaptability and accuracy as well as the intelligent level is significantly improved by using the pattern classification and decision-making technology through multi-source information fusion.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1903-1906

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1903

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Online since:

September 2013

Authors:

Peng Wang*, Zhi Qiang Liu

Keywords:

Driving Gaze Behavior, Multi-Source Information Fusion, Pattern Classification

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References

[1] I. D. Brown. Effect of a Car Radio on Driving in Traffic. Ergonomics. 1965 8(4): 475-479.

Google Scholar

[2] I. D. Brown, A. H. Tickner, D. C. Simmonds. between Tasks of Driving and Telephoning. J. Appl. Psychol. 1969, 53(5): 419-424.

DOI: 10.1037/h0028103

Google Scholar

[3] Peter Chapman, Geoffrey Underwood, Katharine Roberts. Visual search patterns in trained and untrained novice drivers [J]. Transportation Research Part F, 2002, 5(2): 157-167.

DOI: 10.1016/s1369-8478(02)00014-1

Google Scholar

[4] Xin-yue Yang, Xiao-hui Wang, Lei Wu, et al. Study on the integrated cognitive topological structure of driver in the multi-resource information fusion [J]. International Transactions on Computer Science and Engineering, 2006, 32(1): 35-43.

Google Scholar

[5] Q. Ji and X. Yang, Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance[J]. Real-time Imaging, 2002, (8): 357-377.

DOI: 10.1006/rtim.2002.0279

Google Scholar

[6] K. A. Brookhuis, G. Vries, D. Waard. The effects of mobile telephoning on driving performance. Accident Analysis&Prevention. 1991, 23(4): 309-316.

DOI: 10.1016/0001-4575(91)90008-s

Google Scholar