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Detection of visual fatigue by analyzing the blink rate

机译:通过分析眨眼速率检测视觉疲劳

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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.
机译:交通事故最常见的原因之一是驾驶员的疲劳。因此,通过使用计算机视觉技术分析眨眼速率,通过分析眨眼速率来呈现用于检测眼睛引擎的方法的方法。使用采用面部识别的算法,然后基于边缘检测和纹理测量的技术,以分割眼睛并计算眼睛随时间的特征的变化。发现,利用该算法实现了良好的眨眼率的识别。

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