A Study on Interaction Prediction for Reducing Interaction Latency in Remote Mixed Reality Collaboration

被引:2
|
作者
Choi, Yujin [1 ]
Son, Wookho [2 ]
Kim, Yoon Sang [3 ]
机构
[1] Korea Univ Technol & Educ KOREATECH, Dept Comp Sci & Engn, BioComp Lab, Cheonan 31253, South Korea
[2] Elect & Telecommun Res Inst ETRI, Daejeon 34129, South Korea
[3] Inst Bioengn Applicat Technol, Dept Comp Sci & Engn KOREATECH, BioComp Lab, Cheonan 31253, South Korea
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 22期
基金
新加坡国家研究基金会;
关键词
remote collaboration; mixed reality; interaction prediction; human-virtual object interaction; interaction latency; latency reduction; AUGMENTED REALITY;
D O I
10.3390/app112210693
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Various studies on latency in remote mixed reality collaborations (remote MR collaboration) have been conducted, but studies related to interaction latency are scarce. Interaction latency in a remote MR collaboration occurs because action detection (such as contact or collision) between a human and a virtual object is required for finding the interaction performed. Therefore, in this paper, we propose a method based on interaction prediction to reduce the time for detecting the action between humans and virtual objects. The proposed method predicts an interaction based on consecutive joint angles. To examine the effectiveness of the proposed method, an experiment was conducted and the results were given. From the experimental results, it was confirmed that the proposed method could reduce the interaction latency compared to the one obtained by conventional methods.
引用
收藏
页数:18
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