I'm tired of demos: An adaptive MR remote collaborative platform

Peng Wang, Xiaoliang Bai, Mark Billinghurst, Dechuan Han, Shusheng Zhang, Weiping He, Xiangyu Zhang, Yuxiang Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In AR/MR remote collaboration, a remote expert often has to demonstrate tasks for a local worker. To make this easier, we have developed a new adaptive MR remote collaborative architecture which enables a remote expert to guide a local user in physical assembly and training tasks. A remote user can activate the instructions through simple and intuitive interaction, then clear instructions are shown in both AR (local) and VR (remote) views, enabling a local worker to operate the tool following the instructions. In the demonstration we use a hammer operation as a physical task, showing the benefits of the adaptive MR remote collaborative platform.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2019 XR, SA 2019
PublisherAssociation for Computing Machinery, Inc
Pages17-18
Number of pages2
ISBN (Electronic)9781450369473
DOIs
StatePublished - 17 Nov 2019
EventSIGGRAPH Asia 2019 XR - International Conference on Computer Graphics and Interactive Techniques, SA 2019 - Brisbane, Australia
Duration: 17 Nov 201920 Nov 2019

Publication series

NameSIGGRAPH Asia 2019 XR, SA 2019

Conference

ConferenceSIGGRAPH Asia 2019 XR - International Conference on Computer Graphics and Interactive Techniques, SA 2019
Country/TerritoryAustralia
CityBrisbane
Period17/11/1920/11/19

Keywords

  • Augmented Reality (AR)
  • Mixed Reality (MR)
  • Physical task
  • Remote collaboration

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