Time Sequential Motion-to-Photon Latency Measurement System for Virtual Reality Head-Mounted Displays

Time Sequential Motion-to-Photon Latency Measurement System for Virtual Reality Head-Mounted Displays
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DOI:
10.3390/electronics7090171
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发表时间:
2018-09-01
期刊:
影响因子:
2.9
通讯作者:
Kang, Suk-Ju
Kang, Suk-Ju
中科院分区:
工程技术3区
文献类型:
--
作者:
Choi, Song-Woo;Lee, Siyeong;Kang, Suk-Ju

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由于最近对虚拟现实(VR)的兴趣增加,因此已经积极地进行了对头戴式显示器(HMD)的研究。然而,HMD对用户造成晕动病和头晕,用户最受运动到光子延迟的影响。因此,测量和量化这种情况的设备非常必要。本文提出了一种新颖的系统来测量和可视化HMD的时间序列运动到光子的延迟,以真实的时间。传统的运动到光子延迟测量方法只能在物理运动开始时测量延迟。另一方面,所提出的方法可以在每个输入时间真实的测量延迟。具体地,它生成具有测量区域上的像素的强度水平的旋转数据,并且它可以获得所有时间范围内的运动到光子延迟数据。同时,编码器测量来自运动发生器的实际运动,该运动发生器被设计为控制HMD设备的实际姿势。所提出的系统进行编码器和显示器上的输出图像的两个运动之间的比较。最后,它计算所有时间点的运动到光子延迟。实验表明,根据工作负载水平,延迟从最小46.55 ms增加到最大154.63 ms。
Because the interest in virtual reality (VR) has increased recently, studies on head-mounted displays (HMDs) have been actively conducted. However, HMD causes motion sickness and dizziness to the user, who is most affected by motion-to-photon latency. Therefore, equipment for measuring and quantifying this occurrence is very necessary. This paper proposes a novel system to measure and visualize the time sequential motion-to-photon latency in real time for HMDs. Conventional motion-to-photon latency measurement methods can measure the latency only at the beginning of the physical motion. On the other hand, the proposed method can measure the latency in real time at every input time. Specifically, it generates the rotation data with intensity levels of pixels on the measurement area, and it can obtain the motion-to-photon latency data in all temporal ranges. Concurrently, encoders measure the actual motion from a motion generator designed to control the actual posture of the HMD device. The proposed system conducts a comparison between two motions from encoders and the output image on a display. Finally, it calculates the motion-to-photon latency for all time points. The experiment shows that the latency increases from a minimum of 46.55 ms to a maximum of 154.63 ms according to the workload levels.