Virtual reality sickness detection: an approach based on physiological signals and machine learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9284405/9284648/09284654.pdf?arnumber=9284654
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. “Are you feeling sick?” – A systematic literature review of cybersickness in virtual reality;ACM Computing Surveys;2024-06-29
2. Automatic cybersickness detection by deep learning of augmented physiological data from off-the-shelf consumer-grade sensors;Frontiers in Virtual Reality;2024-06-17
3. Investigating Personalization Techniques for Improved Cybersickness Prediction in Virtual Reality Environments;IEEE Transactions on Visualization and Computer Graphics;2024-05
4. CyPVICS: A framework to prevent or minimise cybersickness in immersive virtual clinical simulation;Heliyon;2024-04
5. Predicting Cybersickness Using Machine Learning and Demographic Data in Virtual Reality;Electronics;2024-03-31
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