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

机译:使用位置和方向跟踪的虚拟现实的就地行走方法

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摘要

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 virtual velocity 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.
机译:人们对在无限的虚拟环境中旅行感兴趣,但是在虚拟现实(VR)中尚不存在标准的导航方法。就地走动(WIP)技术是一种导航方法,可以模拟运动,以实现身临其境的旅行,而VR中的模拟器疾病更少。但是,将传感器安装到身体上很麻烦。先前引入的使用惯性测量单元(IMU)执行WIP的方法有助于解决此问题。该方法不需要在人体上放置其他传感器。该研究通过评估证明了WIP的可接受性能。然而,该方法具有局限性,包括当用户在跟踪区域内进行各种身体运动时的高步识别率。先前的工作也没有评估在制品步识别的准确性。在本文中,我们提出了一种使用位置和方向跟踪的新颖WIP方法,该方法在大多数基于PC的VR HMD中提供。我们的方法还不需要在身体上安装其他传感器,并且比基于IMU的非WIP运动方法更稳定。我们对9名受试者进行了评估,发现无论头部倾斜,WIP步距精度均为99.32%,而深蹲运动的误差率为0%,这是一种容易出错的运动。我们将原地慢跑区分为“故意运动”,将其他慢跑区分为“非故意运动”。这表明我们的方法只能正确识别就地慢进。我们还以数学方式将锯齿函数虚拟速度应用于我们的方法。当虚拟速度方法应用于WIP方法时,自然导航是可能的。我们的方法对于需要点动的各种应用很有用。

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