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Data-driven rendering of fabric textures on electrostatic tactile displays

机译:静电触觉显示屏上的织物纹理的数据驱动渲染

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Due, in part, to the popularity of online shopping, there is considerable interest in enabling consumers to experience material touch via internet connected devices. While there have been several efforts to render texture via electrostatic tactile displays, the textures involved have typically consisted of synthetic patterns, such as shapes, shadings, or gradients of photographic textures. In this paper, we propose a data-driven algorithm for the haptic rendering of fabric textures on an electrostatic tactile display. We measure the friction force, normal force, and displacement during the swiping of a finger across real fabric using a new measurement apparatus introduced here. Using these measurements, we compute friction coefficients derived from the recorded frictional and normal forces. We then reproduce the friction coefficients by controlling the voltage applied to an electrostatic tactile display in order to render the tactile texture of the measured fabric. In order to evaluate this rendering method, we conducted a psychophysical experiment that assessed the visual and haptic similarity of ten real and simulated fabrics. The experimental results show that the virtual textures generated using this electrostatic rendering algorithm were perceptually similar to the corresponding real textures for all fabrics tested, underlining the promise of electrostatic tactile displays for material simulation.
机译:部分原因是在网上购物的普及,有很大的兴趣使消费者能够通过互联网连接设备体验物质触摸。虽然已经有几项努力通过静电触觉显示器渲染纹理,但是所涉及的纹理通常由合成图案组成,例如形状,阴影或摄影纹理的梯度。在本文中,我们提出了一种数据驱动算法,用于静电触觉显示器上的织物纹理的触觉渲染。我们使用此处介绍的新测量装置测量在真实织物上擦拭手指期间的摩擦力,法向力和位移。使用这些测量,我们计算衍生自记录的摩擦和正常力的摩擦系数。然后,我们通过控制施加到静电触觉显示器的电压来再现摩擦系数,以使测量织物的触觉纹理。为了评估这种渲染方法,我们进行了一个精神物理实验,评估了十个真实和模拟织物的视觉和触觉相似性。实验结果表明,使用该静电渲染算法产生的虚拟纹理感觉类似于所有测试的所有织物的相应真实纹理,强调了静电触觉显示器进行材料仿真的承诺。

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