A Functional Optimization Based Approach for Continuous 3D Retargeted Touch of Arbitrary, Complex Boundaries in Haptic Virtual Reality
A Functional Optimization Based Approach for Continuous 3D Retargeted Touch of Arbitrary, Complex Boundaries in Haptic Virtual Reality
复制标题
基于功能优化的方法，用于触觉虚拟现实中任意复杂边界的连续 3D 重定向触摸
DOI：
10.1145/3173574.3174118
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Sean Follmer
中科院分区：
文献类型：
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作者：
Yiwei Zhao;Sean Follmer
被动或驱动的物理道具可以提供触觉反馈，从而在虚拟现实中产生令人满意的存在感和现实感。然而，物理表面和虚拟表面（边界）之间的不匹配会降低用户体验。触觉重定向可以通过利用视觉触觉效果来克服这一限制。以往的触觉重定向研究主要集中在基于点的位置重定向方法和重映射二维形状或简单的三维形状变化的技术上。我们的方法将触觉重定向扩展到复杂的任意形状，提供跨越边界上所有点的连续映射。这种新方法还允许多指交互。我们描述了一个函数优化，以找到具有不同目标的理想空间翘曲函数：最大的映射平滑度，最小的真实世界和虚拟世界之间的不匹配，或两者的结合。我们报告了不同优化目标的初步用户研究，并通过一组演示详细说明了潜在的应用。
Passive or actuated physical props can provide haptic feedback, leading to a satisfying sense of presence and realism in virtual reality. However, the mismatch between the physical and virtual surfaces (boundaries) can diminish user experience. Haptic retargeting can overcome this limitation by utilizing visio-haptic effects. Previous investigations in haptic retargeting have focused on methods for point based position retargeting and techniques for remapping 2D shapes or simple 3D shape changes. Our approach extends haptic retargeting to complex, arbitrary shapes that provide a continuous mapping across all points on a boundary. This new approach also allows for multi-finger interaction. We describe a functional optimization to find the ideal spatial warping function with different goals: a maximum mapping smoothness, a minimum mismatch between the real and virtual world, or the combination of the two. We report on a preliminary user study of different optimization goals and elaborate potential applications through a set of demonstrations.