Abstract | ||
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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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Year | DOI | Venue |
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2019 | 10.1145/3359996.3364700 | 25th ACM Symposium on Virtual Reality Software and Technology |
Keywords | Field | DocType |
Cybersickness, Physiological Data, Virtual Reality | Computer vision,Computer science,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-1-4503-7001-1 | 1 | 0.35 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
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Takurou Magaki | 1 | 3 | 2.44 |
Michael Vallance | 2 | 16 | 8.10 |