Predicting Tolerance to Velocity Mismatch Between Virtual and Physical Head Rotation in Cloud Virtual Reality Systems

被引:0
|
作者
Zhang, Jiaqi [1 ]
Yang, Minxia [1 ]
Yu, Lu [1 ]
机构
[1] Zhejiang Univ, Inst Informat & Commun Engn, Hangzhou, Zhejiang, Peoples R China
来源
2020 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES WORKSHOPS (VRW 2020) | 2020年
基金
中国国家自然科学基金;
关键词
Latency; Perception; Virtual reality;
D O I
10.1109/VRW50115.2020.00-48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The idea of virtual velocity loss strategy is introduced to reduce the viewport quality degradation caused by the limited capacity and bandwidth of current network transmission for cloud virtual reality service. To avoid the negative effect of velocity mismatch, this paper quantitatively models the human perceptual tolerance to the velocity mismatch with regard to various physical rotational velocities and velocity losses through a psychophysiological experiment. The experimental results revealed a decreased tolerance to loss for larger physical velocity. We found that virtual rotational velocity can be tuned at least about 25.8 % less than physical rotational velocity.
引用
收藏
页码:753 / 754
页数:2
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