Aarhus University Seal

Towards Retargetable Animations for Industrial Augmented Reality

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Reza Mirzaiee, University of Virginia
  • ,
  • Teodor Vernica
  • Kurt Scheuringer, Lockheed Martin
  • ,
  • William Z. Bernstein, Air Force Research Laboratory

The adoption of Augmented Reality (AR) within manufacturing has surged. However, updating animations due to upstream changes or design variations is expensive. Currently, platform-agnostic stan-dards for computer-aided design files do not adequately specify kine-matic animations. Consequently, animations require manual, indi-vidual updates. We showcase a method for implementing geometry-independent AR assembly animations using skeletal armatures, a technique widely used in the entertainment industry. This technique allows upstream engineering changes to propagate through to the AR assembly visualization, leading to a more automated pipeline for handling animations in Industrial AR systems.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
Number of pages2
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication yearApr 2022
Pages872-873
ISBN (Electronic)9781665484022
DOIs
Publication statusPublished - Apr 2022
Event2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022 - Virtual, Online, New Zealand
Duration: 12 Mar 202216 Mar 2022

Conference

Conference2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
LandNew Zealand
ByVirtual, Online
Periode12/03/202216/03/2022
SeriesProceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

    Research areas

  • Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Mixed/augmented reality, Industrial animations, Industry 4.0, Manufacturing

See relations at Aarhus University Citationformats

ID: 278446848