Enhanced redirected walking algorithm

Mohsen Kanani, Yousif Al-Jabir, Salem Al-Ghanim, O. Halabi
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引用次数: 1

Abstract

The redirected walking algorithm (RDW) is a locomotion technique that gives the user the perception of walking in larger or infinite virtual environment (VE) within small and limited tracking area. The available approaches which are derived from the original algorithm such as Steer-to-Orbit (S2O) and Steer-to-Center (S2C) proved its effectiveness for certain use cases, however, it requires a very large tracking space. In this paper, we present a new algorithm that can combine the benefits of the both S2O and S2C techniques. The algorithm is based on Hypotrochoid equations which enabled us to generate many redirection paths with unique shapes. We present two new redirection paths with promising results.
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增强的重定向行走算法
重定向行走算法(redirected walking algorithm, RDW)是一种在小而有限的跟踪区域内,使用户在更大或无限的虚拟环境(virtual environment, VE)中行走的运动技术。现有的从原始算法衍生出来的方法,如转向到轨道(S2O)和转向到中心(S2C),在某些用例中证明了它的有效性,但它需要非常大的跟踪空间。在本文中,我们提出了一种新的算法,可以结合S2O和S2C技术的优点。该算法基于次曲面方程,使我们能够生成许多具有独特形状的重定向路径。我们提出了两种新的重定向路径,并取得了良好的效果。
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