Vision Based Composite Approach for Lethargy Detection

被引：0

作者：

Khan, Ijaz ^{[1
]}

Abdullah, Hadi ^{[1
]}

Zainal, Mohd Shamian ^{[1
]}

Anuar, Shipun ^{[1
]}

Hazwaj, Mhd ^{[1
]}

Mohamad, Md ^{[1
]}

机构：

[1] Univ Tun Hussein Onn Malaysia, Fac Elect & Elect Engn, Dept Comp Engn, Parit Raja, Batu Pahat, Malaysia

来源：

2014 IEEE 10TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2014) | 2014年

关键词：

computer vision; face and facial feature detection; threshold value calculation; yawning and eye status detection;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

this paper presents a fatigue detection techniques based on computer vision. Fatigue is detected from face and facial features of driver. Hybrid method is used for face and facial feature detection which not only increase the accuracy of the system but also decrease the processing time. Skin color pixels detection and viola Jones methods is used for face detection and knowledge based division method is used to increase the accuracy of facial feature detection. Also a dynamic threshold value is used for yawning and eyes status detection. The average yawning false alarm rate is 1.5% and closed eyes false alarm rate is 0.13%. Algorithm is developed in MATLAB software. The average accuracy of the system is 97.7%.

引用

页码：82 / 86

页数：5

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