A Novel Method for Fatigue Detection Based on Fuzzy Logic

Huai Lin Dong; Wei Jin Chen; Qing Feng Wu

doi:10.4028/www.scientific.net/AMM.40-41.560

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 40-41A Novel Method for Fatigue Detection Based on...

A Novel Method for Fatigue Detection Based on Fuzzy Logic

Abstract:

The problem of fatigue is becoming one of the factors impacting on the working and studying people. Therefore, how to detect whether the people are tired simply and effectively is paid attention to by more and more researchers. A novel method of fatigue testing based on fuzzy logic and image processing is proposed in this paper. Firstly, positive map and side elevation are extracted through camera device. Then motion detection determined to locate human faces and the frequency of eyes opening and closing is derived by using image processing techniques. Finally the angle between the head and the shoulder is calculated combined with a representation of time function and a fatigue threshold is set up. All of these are determined to estimate the degree of fatigue. Experimental results show that, the method can quickly detect the degree of fatigue simply.

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Periodical:

Applied Mechanics and Materials (Volumes 40-41)

Pages:

560-565

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.40-41.560

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Online since:

November 2010

Authors:

Huai Lin Dong, Wei Jin Chen, Qing Feng Wu

Keywords:

Fatigue Detection, Fuzzy Logic, Image Processing

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References

[1] Xiang Yuan, Boxue Huang, and Jingjing Xia: The Status of Fatigue Detection for Driving. Highway and Automotive Applications. Forum Vol. 3 (2007), pp.51-52.

Google Scholar

[2] Zhichun Li, Ren He, Mouyou Lin, and Peilin Li: Study Situation and Developing Trend on detecting Technology of Motor Driver's Fatigue. Agricultural Research. Forum Vol. 3 (2006), pp.197-198.

Google Scholar

[3] Jinyi Liu, Dongmo Zhang, and liping Shen: A Practical Method for Drowsiness Detection Based on Logic. Computer Applications and Software. Forum Vol. 4 (2008), pp.182-183.

Google Scholar

[4] Ying Li, Jianhuang Lai, and Pongchi Yuen: Combined Method of Eye State Detection. Journal of Image and Graphics, (2003).

Google Scholar

[5] Juying Cao, and Yuelong Zhao: Eye State Recognition Based on Horizontal Projection and Hough found the Circle. Science Technology and Engineering. Forum Vol. 7 (2007), p.1969-(1970).

Google Scholar

[6] Elgammal A, Duraiswami R, and Harwood D: Back-ground and Fore-ground Modeling Using Non-parametric Kernel Density Estimation for Visual Surveillance. In Proceedings of the IEEE, (2002).

DOI: 10.1109/jproc.2002.801448

Google Scholar