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Investigation on Human Characteristics of Japanese Katakana Recognition by Active Touch

机译:主动触摸对日本片假名的人文特征调查

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摘要

Braille is one of the few reading systems where tactile perception is used. However, one important issue of Braille is that that is difficult to learn, especially for elderly. Thus, there is a need to develop a new reading system which presents letters directly for blind people. The aim of present study is to investigate the human characteristics of katakana recognition by active touch for tactile reading system development. In present experiment, ten healthy young subjects were asked to recognize 46 Japanese katakana by active touch. The raised-Japanese katakana characters were made of Duralumin, and the height of these stimuli were 10mm. Subjects were instructed to touch the katakana stimuli with their right index finger without large submovement. The mean accuracy of all young subjects was over 80%, and the mean reaction time was about 27.3 s. Our results indicated that the mean accuracy was decreased with similarity increased. However, several differences with regard to high accuracy under high similarity pair conditions need to be considered.
机译:盲文是使用触觉的少数阅读系统之一。但是,盲文的一个重要问题是难以学习,尤其是对于老年人而言。因此,需要开发一种新的阅读系统,该系统直接为盲人呈现信件。本研究的目的是研究通过主动触摸的片假名识别的人文特征,以开发触觉阅读系统。在本实验中,要求十名健康的年轻受试者通过主动触摸来识别46片日本片假名。日语假名片假名字符是用硬铝制成的,这些刺激物的高度为10mm。指示受试者用右手食指触摸片假名刺激物,而不会产生较大的运动。所有年轻受试者的平均准确度均超过80%,平均反应时间约为27.3 s。我们的结果表明,平均准确度随着相似度的增加而降低。但是,需要考虑在高相似度对条件下的高精度方面的一些差异。

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  • 来源
    《Brain informatics》|2010年|p.357-364|共8页
  • 会议地点 Toronto(CA);Toronto(CA)
  • 作者单位

    Biomedical Engineering Laboratory, Graduate School of Natural Science and Technology, Okayama University, Tsushima-Naka 3-l-l,Okayama 700-8530, Japan;

    Biomedical Engineering Laboratory, Graduate School of Natural Science and Technology, Okayama University, Tsushima-Naka 3-l-l,Okayama 700-8530, Japan;

    Biomedical Engineering Laboratory, Graduate School of Natural Science and Technology, Okayama University, Tsushima-Naka 3-l-l,Okayama 700-8530, Japan,The International WIC Institute, Beijing University of Technology, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
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