Remote Expert Assistance System for Mixed-HMD Clients over 5G Infrastructure

被引：0
作者：
ter Haar, Frank B. [1 ]
Dijkstra-Soudarissanane, Sylvie [2 ]
Zuraniewski, Piotr [2 ]
Hindriks, Rick [2 ]
El Assal, Karim [2 ]
Gunkel, Simon [2 ]
Rahim, Galit [2 ]
Niamut, Omar [2 ]
机构：
[1] TNO Intelligent Imaging, The Hague, Netherlands
[2] TNO Networks, The Hague, Netherlands
来源：
PROCEEDINGS OF THE 2023 PROCEEDINGS OF THE 14TH ACM MULTIMEDIA SYSTEMS CONFERENCE, MMSYS 2023 | 2023年
关键词：
Social-XR; Remote Expertise; Augmented Reality; Virtual Reality; Mixed Reality; 5G Infrastructure; XR-Collaboration; COLLABORATION; SUPPORT;
D O I：
10.1145/3587819.3593939
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
When operating under adverse conditions or at distant locations, it is not always feasible to obtain the assistance of an expert on site. In such cases, remote expert assistance may provide a solution. Current remote assistance systems employ immersive data visualization or video-based communication. By introducing XR-based multi-user communication system to remote expert assistance solutions, we expect to improve the effectiveness of both the operator and the supporting experts. Our multi-user XR collaboration demo integrates XR and cloud/network technologies. It enables three users to collaborate in a way that makes them feel that they are solving a challenging task together.
引用
收藏
页码：318 / 322
页数：5
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