Detection of visual fatigue by analyzing the blink rate

被引：0

作者：

Ramirez Clavijo, Guillermo Leon ^{[1
]}

Osorio Patino, Jonathan ^{[1
]}

Martinez Leon, Daniel ^{[1
]}

机构：

[1] Inst Tecnol Metropolitano, Fac Ingn, Medellin, Colombia

来源：

2015 20TH SYMPOSIUM ON SIGNAL PROCESSING, IMAGES AND COMPUTER VISION (STSIVA) | 2015年

关键词：

Eyestrain; visual fatigue; blink rate; segmentation; computer vision; edge detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the most common causes of traffic accidents is the driver's fatigue. So in this paper, a methodology for detection of eyestrain, in different lighting conditions, is presented by analyzing the blink rate using computer vision techniques. An algorithm that takes face recognition was used, then a technique based on edge detection and measurement of texture to segment the eye and to count the changes in the characteristics of the eyes over time was applied. It was found that with this algorithm a good identification of the blink rate is achieved.

引用

页数：5

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