A low-cost tracking technique using retro-reflective marker for smartphone based HMD

Daiki Yamaji, Hiroyuki Hakoda, Wataru Yamada, Hiroyuki Manabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a low-cost tracking technique for mobile virtual reality (VR) head-mounted displays (HMDs) that uses retro-reflective markers. Our technique allows the built-in cameras of existing smartphones to track real objects even if they are moving rapidly. The user simply attaches retro-reflective markers to the objects or creates unique objects (easily fabricated by 3D printing) and uses them as input devices for smartphone-based HMD applications. Several VR game applications that use our technique are described and testing shows that our technique works effectively.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 2018 Apr 20
Externally publishedYes
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: 2018 Apr 212018 Apr 26

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2018-April

Conference

Conference2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
CountryCanada
CityMontreal
Period18/4/2118/4/26

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Keywords

  • Cardboard
  • Head-mounted display
  • Motion tracking
  • Single camera
  • Virtual reality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Yamaji, D., Hakoda, H., Yamada, W., & Manabe, H. (2018). A low-cost tracking technique using retro-reflective marker for smartphone based HMD. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI [LBW11] (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3170427.3188516