基于生理信号的晕动病实时监测方法

Takuro Magaki, M. Vallance
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引用次数: 1

摘要

在进行虚拟现实体验时,晕机的可能性仍然是一个严重的问题。晕屏病很难解决,因为尽管有普遍接受的症状和理论,但在如何克服这个问题上仍然没有达成共识。在这项研究中,提出了一种实时监测生理信号的方法,作为一种测量晕机潜在发病的方法。一款名为Cybatica的应用程序已经开发出来,该应用程序可以显示生理数据和一种名为“晕屏发作”(OCS)的独特度量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time Monitoring Method for Cybersickness using Physiological Signals
The potential for cybersickness remains a critical problem when engaged in Virtual Reality experiences. Cybersickness is difficult to resolve because, although there are commonly accepted symptoms and theories, there is still no consensus on how to overcome the problem. In this study, a method of real-time monitoring of physiological signals is proposed as an approach to measure the potential onset of cybersickness. An application called Cybatica which displays physiological data and a unique metric termed Onset of Cybersickness (OCS) has been developed.
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