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Feel the 'fabric' via the PHANToM.

机译:通过PHANToM感受“面料”。

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摘要

This dissertation presents the research work on the fabric surface property simulation, the stylus based fabric characteristic sound simulation, and the haptic-audio interface design. By using a stylus people could perceive the fabric surface roughness and friction, instead of directly touching the fabric with their bare fingers. Our haptic-audio interface is intended to simulate the case “feeling a virtually fixed fabric via a rigid stylus” by using the PHANToM 1.5—a force/torque feedback device by SensAble Technologies. Four cotton fabrics, which are different in terms of yarn and weaving pattern, were chosen. The surface roughness and friction force profiles of each fabric were measured by using the KES FB4 surface tester. Because of the stochastic and periodic aspects of each profile, a FFT based correlation-restoration method is developed and implemented to analyzed the characteristic frequencies, amplitudes, and initial phases of the surface roughness and friction coefficient of the fabric. By using the characteristic parameters, we simulate the surface roughness and friction coefficient profiles for each fabric. The fabric characteristic sound when a stylus rubs a fabric were generated and recorded by a system developed by us. The frequencies of the fabric characteristic sound were obtained from the DFFT spectral analysis on the sound profile of each fabric. By using the frequencies, we developed a physically based method to simulated the sound of a fabric when a stylus is rubbing it. The haptic-audio interface, which renders synchronized auditory and haptic stimuli when the PHANToM endpoint—the virtual stylus—rubs on the surface of a virtual fabric, was developed in Visual C++ 6.0 by using OpenGL and PHANToM GHOST SDK. Finally, subjects were asked to test our haptic-audio interface. From the user evaluation, we conclude that the surface roughness and friction of the four different virtual fabrics can be perceived haptically and ordered by the subjects. Comparing with the recorded sound, subjects satisfy the simulated sound when a stylus rubs a virtual fabric.
机译:本文介绍了织物表面特性仿真,基于手写笔的织物特征声音仿真以及触觉-音频接口设计的研究工作。通过使用手写笔,人们可以感觉到织物的表面粗糙度和摩擦,而无需用裸露的手指直接接触织物。我们的触觉音频界面旨在通过使用PHANToM 1.5(SensAble Technologies的力/扭矩反馈设备)来模拟“通过刚性手写笔感觉几乎固定的织物”的情况。选择了四种棉织物,它们在纱线和编织图案方面有所不同。使用KES FB4表面测试仪测量每种织物的表面粗糙度和摩擦力曲线。由于每个轮廓的随机性和周期性,开发并实施了一种基于FFT的相关性还原方法,以分析织物表面粗糙度和摩擦系数的特征频率,幅度和初始相位。通过使用特征参数,我们模拟每种织物的表面粗糙度和摩擦系数曲线。手写笔摩擦布料时的布料特征声音是由我们开发的系统生成并记录的。织物特征声音的频率是通过对每种织物的声音轮廓进行DFFT频谱分析获得的。通过使用频率,我们开发了一种基于物理的方法来模拟手写笔摩擦织物时的声音。触觉音频接口是在Visual C ++ 6.0中使用OpenGL和PHANToM GHOST SDK开发的,当PHANToM端点(虚拟笔)在虚拟结构的表面上摩擦时,会呈现同步的听觉和触觉刺激。最后,要求受试者测试我们的触觉音频界面。从用户评估中,我们得出结论,四种不同的虚拟织物的表面粗糙度和摩擦力可以由受测者直观地感知和排序。与记录的声音相比,当手写笔摩擦虚拟布料时,对象会满足模拟的声音。

著录项

  • 作者

    Huang, Gang.;

  • 作者单位

    University of Pennsylvania.;

  • 授予单位 University of Pennsylvania.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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