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Contour pattern recognition through auditory labels of freeman chain codes for people with visual impairments

机译:通过弗里曼链代码的听觉标签为视力障碍者识别轮廓模式

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摘要

Tactile devices are commonly used for pattern recognition learning by people with visual impairments. However, it is often difficult for such persons to recognize the detailed and mathematical shape of objects when using such devices. The primary difficulty is gaining a sufficiently accurate understanding of the shape of an object to permit its correct reconstruction based on tactile device feedback. Furthermore, people with visual impairments have less opportunity to discern visual images and must therefore apply their own sense of understanding to the shape of an object as gained from the tactile experiences. Thus, they are often not sure if it reflects the actual shape. To solve this problem, we propose a pattern recognition technique utilizing auditory labels based on a contour chain code. Using a Freeman chain, object shapes are represented as a sequence of steps, each in one of eight directions; each step is designated by an integer from 0 to 7. Our proposed method takes advantage of Freeman chain codes in order to present the detailed shape of objects. This report describes our proposed method and presents experimental results that verify its effectiveness in support of mathematical education efforts for visually impaired persons.
机译:触觉设备通常用于视力障碍者的模式识别学习。然而,当使用此类设备时,此类人员通常难以识别物体的详细和数学形状。主要困难是获得对物体形状的足够准确的理解,以允许基于触觉设备反馈对其进行正确的重建。此外,视力障碍的人识别视觉图像的机会较少,因此必须将自己的理解力应用于从触觉体验中获得的物体的形状。因此,他们通常不能确定它是否反映了实际形状。为了解决这个问题,我们提出了一种基于轮廓链代码的利用听觉标签的模式识别技术。使用弗里曼链,对象的形状表示为一系列步骤,每个步骤在八个方向之一上;每个步骤均由0到7之间的整数指定。我们提出的方法利用Freeman链码来呈现对象的详细形状。本报告介绍了我们提出的方法,并提供了实验结果,验证了其在支持视力障碍者数学教育方面的有效性。

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