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首页> 外文期刊>International journal of computers, communications and control >Prediction of Pending Data Using Interpolation and Extrapolation Techniques for Virtual Rowing
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Prediction of Pending Data Using Interpolation and Extrapolation Techniques for Virtual Rowing

机译:使用插值和外推技术来预测虚拟划艇的外推技术

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The use of peripheral devices could be a good alternative to interact with Virtual Environment in addition to native controllers. Using combination of Concept-II peripheral device with VR mobile will cause latency issues due to different data transmission rates between those components. This latency issue leads to two major problems, such as micro-stutter in Virtual Environment (VE) and distance inaccuracy in time between the Concept-II peripheral device and VR mobile. In this paper, the authors present three algorithms based on interpolation and extrapolation methods, which aim to provide immersive VR experience by ensuring stutter-free and accurate rowing sessions for the user. This is relevance when considering the adoption of peripheral devices (i.e. the Concept-II peripheral device) as an alternative to interact with Virtual Environment in addition to native controllers. Predicting virtual rowing shell’s position using interpolation by position method gives accurate time results but introduces high amount of micro-stutter. Using extrapolation method by taking speed parameter to predict rowing shell’s position has very high time error but gives pleasant, stutter-free virtual rowing experience. Finally, adding this speed parameter a correction constant value for predicting virtual rowing shell’s position provides stutter-free and very accurate in time rowing session for the user.
机译:除了本机控制器之外,外围设备的使用可以是与虚拟环境交互的良好替代方案。由于这些组件之间的不同数据传输速率,使用具有VR移动的概念-II外围设备的组合将导致延迟问题。此潜伏期问题导致两个主要问题,例如虚拟环境中的微口,以及概念-II外围设备和VR移动之间的时间距离不准确。在本文中,作者提出了三种基于插值和外推方法的算法,其目的是通过确保用户的无间断和准确的划船会来提供沉浸式VR体验。在考虑使用外围设备(即概念-II外围设备)作为与本机控制器之外的替代方案以与虚拟环境相互作用时,这是相关性。使用位置方法使用插值预测虚拟划艇的位置提供准确的时间结果,但引入了大量的微口。使用外推方法通过采用速度参数来预测划船壳的位置具有很大的时间误差,但提供了令人愉悦,无间断的虚拟划船体验。最后,添加此速度参数校正常量值以预测虚拟划艇的位置为用户提供了无间断的,并且在时间划船会话中非常准确。

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