Real-time Monitoring Method for Cybersickness using Physiological Signals.
Real-time Monitoring Method for Cybersickness using Physiological Signals.
复制标题
利用生理信号实时监测晕机症状的方法。
DOI：
10.1145/3359996.3364700
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
M.
中科院分区：
文献类型：
--
作者：
Magaki;T & Vallance;M.
潜在的晕机仍然是一个关键问题，当从事虚拟现实体验。电脑病很难解决，因为尽管有普遍接受的症状和理论，但对于如何克服这个问题仍然没有达成共识。在这项研究中，提出了一种实时监测生理信号的方法，作为一种方法来衡量潜在的发病的电脑病。一个名为Cybatica的应用程序，它显示生理数据和一个独特的指标，称为发病的赛博病（OCS）已经开发出来。
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.