Investigating Personalization Techniques for Improved Cybersickness Prediction in Virtual Reality Environments
In recent cybersickness research, there has been a growing interest in predicting cybersickness using real-time physiological data such as heart rate, galvanic skin response, eye tracking, postural sway, and electroencephalogram. However, the impact of individual factors such as age and gender, whic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 5 vom: 16. Mai, Seite 2368-2378
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| 1. Verfasser: |
Tasnim, Umama
(VerfasserIn) |
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| Weitere Verfasser: |
Islam, Rifatul,
Desai, Kevin,
Quarles, John |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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