The Syncopated Energy Algorithm for Rendering Real-Time Tactile Interactions

Q1 Computer Science Frontiers in ICT Pub Date : 2019-10-30 DOI:10.3389/fict.2019.00019
Fei Tang, Ryan P. McMahan
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引用次数: 2

Abstract

In this paper, we present a novel vibrotactile rendering algorithm for producing real-time tactile interactions suitable for virtual reality applications. The algorithm uses an energy model to produce smooth tactile sensations by continuously recalculating the location of a phantom actuator that represents a virtual touch point. It also employs syncopations in its rendered amplitude to produce artificial perceptual anchors that make the rendered vibrotactile patterns more recognizable. We conducted two studies to compare this Syncopated Energy algorithm to a standard real-time Grid Region algorithm for rendering touch patterns at different vibration amplitudes and frequencies. We found that the Grid Region algorithm afforded better recognition, but that the Syncopated Energy algorithm was perceived to produce smoother patterns at higher amplitudes. Additionally, we found that higher amplitudes afforded better recognition while a moderate amplitude yielded more perceived continuity. We also found that a higher frequency resulted in better recognition for fine-grained tactile sensations and that frequency can affect perceived continuity.
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实时触觉交互渲染的切分能量算法
在本文中,我们提出了一种新的振动触觉渲染算法,用于产生适合虚拟现实应用的实时触觉交互。该算法使用能量模型,通过不断重新计算代表虚拟触点的虚拟驱动器的位置来产生平滑的触觉。它还在渲染振幅中使用切分音来产生人工感知锚点,使渲染的振动触觉模式更容易识别。我们进行了两项研究,将这种切分能量算法与标准的实时网格区域算法进行比较,以在不同的振动幅度和频率下呈现触摸模式。我们发现网格区域算法提供了更好的识别,但切分能量算法被认为在更高的振幅下产生更平滑的模式。此外,我们发现较高的振幅提供更好的识别,而适度的振幅产生更多的感知连续性。我们还发现,频率越高,对细粒度触觉的识别效果越好,而且频率会影响感知的连续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Frontiers in ICT
Frontiers in ICT Computer Science-Computer Networks and Communications
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