Journal of System Simulation
Abstract
Abstract: A VR video comfort evaluation model based on motion perception is proposed for viewers who will feel discomfort such as vertigo and nausea after a virtual reality (VR) experience. By performing dense optical flow estimation on stereoscopic VR video and calculating the video frame velocity matrix by analyzing the horizontal and vertical motions in the scene, the frame acceleration feature extraction methods based on frame difference method and based on time domain are proposed. Taking the extracted velocity, acceleration and other motions features as input, a model is established using the support vector regression algorithm, and VR video experience comfort could be evaluated. The experiment shows that our model performs better than other models for introducing time-domain frame acceleration, and the results are closer to subjective evaluation values. The root mean square error (RMSE) is reduced to 7.0, and the Pearson linear correlation coefficient (PLCC) is increased to 0.955 3.
Recommended Citation
Quan, Wei; Wang, Chao; Geng, Xuena; and Han, Cheng
(2023)
"Research on VR Experience Comfort Based on Motion Perception,"
Journal of System Simulation: Vol. 35:
Iss.
1, Article 14.
DOI: 10.16182/j.issn1004731x.joss.21-0966
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss1/14
First Page
169
Revised Date
2021-11-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0966
Last Page
177
CLC
TP391.9
Recommended Citation
Wei Quan, Chao Wang, Xuena Geng, Cheng Han. Research on VR Experience Comfort Based on Motion Perception[J]. Journal of System Simulation, 2023, 35(1): 169-177.
DOI
10.16182/j.issn1004731x.joss.21-0966
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