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首页> 外文会议>Mathematics of Data/Image Pattern Recognition, Compression and Encryption with Applications IX >Maximizing reading: pattern analysis to describe points of gaze
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Maximizing reading: pattern analysis to describe points of gaze

机译：最大化阅读：模式分析以描述注视点

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摘要

As people read texts, their points of gaze can be described either as a sequence or as a pattern of dots. If reading fixations are visualized as a pattern and their duration is graphically attributed to the 3rd dimension, image processing techniques can be employed to describe individual reading styles. Two reader groups of text editors and of University students were matching according to parametric tests. Yet they appeared to have marked inter-subject variability of fixation distribution when individual cases were considered. To illustrate this, we applied a simple "Coulomb law" - like model that takes both fixation duration and spacing into account. Further the image entropy filter was shown to distinguish the readers by the extreme value points. Statistical averaging can level out differences in reading patterns that appear by image processing techniques.
机译：当人们阅读文本时，他们的凝视点可以描述为序列或点状图案。如果将阅读注视可视化为一种模式，并且其持续时间在图形上归因于三维，则可以使用图像处理技术来描述各个阅读风格。根据参数测试，两个文本编辑器和大学生阅读器组匹配。然而，当考虑个别病例时，它们似乎具有明显的主体间固定分布差异。为了说明这一点，我们应用了一个简单的“库仑定律”（Coulomb law）-类似于模型，该模型同时考虑了固定持续时间和间距。进一步地，图像熵滤波器被显示为通过极值点来区分读者。统计平均可以消除由图像处理技术出现的阅读模式的差异。

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