虚拟触觉纹理利用静电摩擦显示对天然材料:低频和高频纹理刺激的作用

Kazuya Otake, S. Okamoto, Yasuhiro Akiyama, Yoji Yamada
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引用次数: 2

摘要

随着触摸屏成为移动设备的标准功能,在面板上呈现触觉纹理反馈的技术一直备受关注。我们测试了一种使用静电触觉纹理显示来呈现天然材料的新方法。在该方法中,摩擦力被分解为低频和高频分量。低频分量根据库仑摩擦定律建模,摩擦力与手指的法向力成反作用。采用自回归模型对高频分量进行建模,以保持高频分量的频谱特征。四种天然材料类型,分别是皮革、软木、牛仔布和画纸,用这种方法呈现给六名评审员。在仅呈现低频摩擦力分量的情况下,材料的正确率为70%。相比之下,当高频成分叠加时,这一比例增加到80%,尽管差异没有统计学意义。我们的方法将物理摩擦模型和低频和高频组件的频谱相结合,使人们能够识别触摸面板上呈现的虚拟自然材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual tactile texture using electrostatic friction display for natural materials: The role of low and high frequency textural stimuli
As touchscreens have become a standard feature in mobile devices, technologies for presenting tactile texture feedback on the panel have been attracting attention. We tested a new method for presenting natural materials using an electrostatic tactile texture display. In this method, the frictional forces are decomposed into low- and high-frequency components. The low-frequency component was modeled based on Coulomb’s friction law, such that the friction force was reactive to the finger’s normal force. The high-frequency component was modeled using an auto-regressive model to retain its features of frequency spectra. Four natural material types, representing leather, cork, denim, and drawing paper, were presented to six assessors using this method. In a condition where only the low-frequency friction force components were rendered, the materials were correctly recognized at 70%. In contrast, when the high-frequency components were superposed, this rate increased to 80%, although the difference was not statistically significant. Our approach to combine a physical friction model and frequency spectrum for low- and high-frequency components, respectively, allows people to recognize virtual natural materials rendered on touch panels.
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