Sick Moves! Motion Parameters as Indicators of Simulator Sickness
Author:
Affiliation:
1. Programming Systems GroupFriedrich-Alexander University Erlangen-Nürnberg (FAU)
2. Human Computer Interaction GroupUniversity of Würzburg (JMU)
3. Machine Learning and Data Analytics LabFAU
Funder
Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology
ESI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
http://xplorestaging.ieee.org/ielx7/2945/8855102/08798880.pdf?arnumber=8798880
Cited by 14 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. Training of spatial cognitive abilities reduces symptoms of visually induced motion sickness;Frontiers in Psychology;2024-09-02
2. Sicknificant Steps: A Systematic Review and Meta-analysis of VR Sickness in Walking-based Locomotion for Virtual Reality;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
3. A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16
4. Deep Learning-based Simulator Sickness Estimation from 3D Motion;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16
5. DreamWalk: Dynamic remapping and multiperspectivity for large‐scale redirected walking;Computer Animation and Virtual Worlds;2023-07-09
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