TutAR: Semi-automatic generation of augmented reality tutorials for medical education

Daniel Eckhoff, Christian Sandor, Denis Kalkofen, Ulrich Eck, Christian Lins, Andreas Hein

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

14 Citations (Scopus)

Abstract

With Augmented Reality (AR) on Optical-See-Through-Head-Mounted Displays (OST-HMD), users can observe the real world and computer graphics at the same time. In this work, we present TutAR, a pipeline that semi-automatically creates AR tutorials out of 2D RGB videos. TutAR extracts relevant 3D hand motion from the input video. The derived motion will be displayed as an animated 3D hand relative to the human body and plays synchronously with the motion in the video on an OST-HMD.

Original languageEnglish
Title of host publicationAdjunct Proceedings - 2018 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2018
PublisherInstitute of Electrical and Electronics Engineers
Pages430-431
Number of pages2
ISBN (Electronic)9781538675922
DOIs
Publication statusPublished - 19 Apr 2018
Externally publishedYes

Publication series

NameAdjunct Proceedings - 2018 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2018

Keywords

  • Augmented Reality
  • Motion extraction
  • Video tutorials

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