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首页> 外文会议>Joint international conference on serious games >An Evaluation of Extrapolation and Filtering Techniques in Head Tracking for Virtual Environments to Reduce Cybersickness
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An Evaluation of Extrapolation and Filtering Techniques in Head Tracking for Virtual Environments to Reduce Cybersickness

机译：虚拟环境头部追踪中的外推和过滤技术评估，以减少晕机

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摘要

Currently, numerous users who employ HMD devices such as the Oculus Rift develop symptoms similar to motion sickness. Recent literature defines this phenomenon as cybersickness, and one of its main causes as latency. This contribution aims to analyze the accuracy of different extrapolation and filtering techniques to accurately predict head movements, reducing the impact of latency. For this purpose, 10 participants played a VR game that required quick and subsequent head rotations, during which a total of 150.000 head positions were captured in the pitch and yaw rotation axes. These rotational movements were then extrapolated and filtered. Linear extrapolation seems to provide best results, with a prediction error of approximately 0.06 arc degrees. Filtering the extrapolated data further reduces the error to 0.04 arc degrees on average. In conclusion, until future VR systems can significantly reduce latency, extrapolating head movements seems to provide a low-cost solution with an acceptable prediction error, although extrapolating the roll axis movements remains to be challenging.
机译：当前，许多使用诸如Oculus Rift之类的HMD设备的用户会出现类似于晕车的症状。最近的文献将这种现象定义为晕车病，其主要原因之一是潜伏期。该贡献旨在分析各种外推法和滤波技术的准确性，以准确预测头部运动，从而减少延迟的影响。为此，有10位参与者玩了一个VR游戏，该游戏需要快速且后续的头部旋转，在此期间，在俯仰和偏航旋转轴上总共捕获了150.000个头部位置。然后对这些旋转运动进行推断和过滤。线性外推似乎提供最佳结果，其预测误差约为0.06弧度。过滤外推数据进一步将误差平均降低到0.04弧度。总之，在未来的VR系统可以显着减少延迟之前，外推磁头移动似乎可以提供一种具有可接受的预测误差的低成本解决方案，尽管外推横滚轴移动仍然具有挑战性。

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