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Virtual Sectioning and Haptic Exploration of Volumetric Shapes in the Absence of Visual Feedback

机译:在没有视觉反馈的情况下对体积形状进行虚拟切片和触觉探索

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摘要

The reduced behavior for exploration of volumetric data based on the virtual sectioning concept was compared with the free scanning at the use of the StickGrip linkage-free haptic device. Profiles of the virtual surface were simulated through the penholder displacements in relation to the pen tip of the stylus. One or two geometric shapes (cylinder, trapezoidal prism, ball, and torus) or their halves and the ripple surface were explored in the absence of visual feedback. In the free scanning, the person physically moved the stylus. In the parallel scanning, cross-sectional profiles were generated automatically starting from the location indicated by the stylus. Analysis of the performance of 18 subjects demonstrated that the new haptic visualization and exploration technique allowed to create accurate mental images, to recognize and identify virtual shapes. The mean number of errors was about 2.5% in the free scanning mode and 1.9% and 1.5% in the parallel scanning mode at the playback velocity of 28 mm/s and 42 mm/s, respectively. All participants agreed that the haptic visualization of the 3D virtual surface presented as the cross-sectional slices of the workspace was robust and easy to use. The method was developed for visualization of spatially distributed data collected by sensors.
机译:在使用StickGrip无链接触觉设备的情况下,将基于虚拟切片概念的减少的探索行为与自由扫描进行了比较。通过笔杆相对于触控笔笔尖的位移来模拟虚拟表面的轮廓。在没有视觉反馈的情况下,研究了一种或两种几何形状(圆柱,梯形棱柱,球和圆环)或其半部和波纹表面。在自由扫描中,该人物理移动了触控笔。在平行扫描中,从笔针指示的位置开始自动生成横截面轮廓。对18位受试者的表现进行的分析表明,新的触觉可视化和探索技术可以创建准确的心理图像,识别和识别虚拟形状。在28 mm / s和42 mm / s的回放速度下,自由扫描模式下的平均错误数分别约为2.5%,并行扫描模式下的平均错误数分别约为1.9%和1.5%。所有参与者都同意,以工作空间的横截面切片形式呈现的3D虚拟表面的触觉可视化功能强大且易于使用。该方法用于可视化传感器收集的空间分布数据。

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  • 来源
    《Advances in human-computer interaction》 |2013年第2013期|740324.1-740324.15|共15页
  • 作者单位

    School of Information Sciences, University of Tampere, Kanslerinrinne 1, PINNI B, 33014 Tampere, Finland;

    School of Information Sciences, University of Tampere, Kanslerinrinne 1, PINNI B, 33014 Tampere, Finland;

    School of Information Sciences, University of Tampere, Kanslerinrinne 1, PINNI B, 33014 Tampere, Finland;

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