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An enhanced steering algorithm for redirected walking in virtual environments

机译:用于虚拟环境中重定向步行的增强型转向算法

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Redirected walking techniques enable natural locomotion through immersive virtual environments that are considerably larger than the available real world walking space. However, the most effective strategy for steering the user remains an open question, as most previously presented algorithms simply redirect toward the center of the physical space. In this work, we present a theoretical framework that plans a walking path through a virtual environment and calculates the parameters for combining translation, rotation, and curvature gains such that the user can traverse a series of defined waypoints efficiently based on a utility function. This function minimizes the number of overt reorientations to avoid introducing potential breaks in presence. A notable advantage of this approach is that it leverages knowledge of the layout of both the physical and virtual environments to enhance the steering strategy.
机译:重定向的步行技术可通过沉浸式虚拟环境实现自然运动,而沉浸式虚拟环境比可用的现实世界中的步行空间大得多。但是,引导用户的最有效策略仍然是一个悬而未决的问题,因为大多数以前介绍的算法只是将重定向重定向到物理空间的中心。在这项工作中,我们提出了一个理论框架,该框架计划了通过虚拟环境的步行路径,并计算用于组合平移,旋转和曲率增益的参数,以便用户可以基于效用函数有效地遍历一系列定义的航点。此功能可最大程度地减少明显的重新定向次数,从而避免在存在时引入潜在的中断。这种方法的显着优势是,它利用了物理和虚拟环境的布局知识来增强控制策略。

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