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An enhanced steering algorithm for redirected walking in virtual environments

机译:一种增强的虚拟环境中的重定向转向算法

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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:重定向的步行技巧通过沉浸式虚拟环境启用自然运动,这些虚拟环境远远大于可用的现实世界步行空间。然而,最有效的用于指导用户的策略仍然是一个开放的问题,因为大多数先前呈现的算法只是重定向到物理空间的中心。在这项工作中,我们介绍了一个理论框架,该框架计划通过虚拟环境的步行路径,并计算用于转换,旋转和曲率增益的参数,使得用户可以基于实用程序函数有效地遍历一系列定义的航路点。该功能最小化了公开的重新定位的数量,以避免在存在下引入潜在的突破。这种方法的一个值优势在于它利用了了解物理和虚拟环境的布局,以增强转向策略。

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