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基于位置和方位跟踪的虚拟现实行走模拟方法

A Walking-in-Place Method for Virtual Reality Using Position and Orientation Tracking.

机构信息

Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul 02792, Korea.

Division of Nano & Information Technology, KIST School, University of Science and Technology, Seoul 02792, Korea.

出版信息

Sensors (Basel). 2018 Aug 27;18(9):2832. doi: 10.3390/s18092832.

Abstract

People are interested in traveling in an infinite virtual environment, but no standard navigation method exists yet in Virtual Reality (VR). The Walking-In-Place (WIP) technique is a navigation method that simulates movement to enable immersive travel with less simulator sickness in VR. However, attaching the sensor to the body is troublesome. A previously introduced method that performed WIP using an Inertial Measurement Unit (IMU) helped address this problem. That method does not require placement of additional sensors on the body. That study proved, through evaluation, the acceptable performance of WIP. However, this method has limitations, including a high step-recognition rate when the user does various body motions within the tracking area. Previous works also did not evaluate WIP step recognition accuracy. In this paper, we propose a novel WIP method using position and orientation tracking, which are provided in the most PC-based VR HMDs. Our method also does not require additional sensors on the body and is more stable than the IMU-based method for non-WIP motions. We evaluated our method with nine subjects and found that the WIP step accuracy was 99.32% regardless of head tilt, and the error rate was 0% for squat motion, which is a motion prone to error. We distinguish jog-in-place as "intentional motion" and others as "unintentional motion". This shows that our method correctly recognizes only jog-in-place. We also apply the saw-tooth function to our method in a mathematical way. Natural navigation is possible when the virtual velocity approach is applied to the WIP method. Our method is useful for various applications which requires jogging.

摘要

人们对在无限虚拟环境中旅行很感兴趣,但虚拟现实(VR)中还没有标准的导航方法。原地步行(WIP)技术是一种导航方法,它模拟运动,使人们在 VR 中能够以较少的模拟器病进行沉浸式旅行。然而,将传感器附在身体上很麻烦。之前介绍的一种使用惯性测量单元(IMU)进行 WIP 的方法解决了这个问题。该方法不需要在身体上放置额外的传感器。该研究通过评估证明了 WIP 的可接受性能。然而,这种方法有其局限性,包括当用户在跟踪区域内进行各种身体运动时,步识别率较高。以前的工作也没有评估 WIP 步识别的准确性。在本文中,我们提出了一种使用位置和方向跟踪的新的 WIP 方法,这些方法在大多数基于 PC 的 VR HMD 中都有提供。我们的方法也不需要在身体上增加额外的传感器,对于非 WIP 运动比基于 IMU 的方法更稳定。我们用九名受试者对我们的方法进行了评估,发现无论头部倾斜,WIP 步的准确性都达到了 99.32%,深蹲运动的错误率为 0%,深蹲运动是一种容易出错的运动。我们将原地跑步识别为“有意运动”,其他运动识别为“无意运动”。这表明我们的方法只正确识别原地跑步。我们还以数学方式将锯齿函数应用于我们的方法。当将虚拟速度方法应用于 WIP 方法时,可以实现自然导航。我们的方法对于需要跑步的各种应用非常有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec15/6165345/e08f4503e41f/sensors-18-02832-g001.jpg

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