skip to main content
10.1145/3415255.3422885acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
abstract

Interactive Minimal Latency Laser Graphics Pipeline

Published:17 November 2020Publication History

ABSTRACT

We present the design and implementation of a ”Laser Graphics Processing Unit” (LGPU) featuring a proposed re-configurable graphics pipeline capable of minimal latency interactive feedback, without the need of computer communication. This is a novel approach for creating interactive graphics where a simple program describes the interaction on a vertex. Similar in design to a geometry or fragment shader on a GPU, these programs are uploaded on initialisation and do not require input from any external micro-controller while running. The interaction shader takes input from a light sensor and updates the vertex and fragment shader, an operation that can be parallelised. Once loaded onto our prototype LGPU the pipeline can create laser graphics that react within 4 ms of interaction and can run without input from a computer. The pipeline achieves this low latency by having the interaction shader communicate with the geometry and vertex shaders that are also running on the LGPU. This enables the creation of low latency displays such as car counters, musical instrument interfaces, and non-touch projected widgets or buttons. From our testing we were able to achieve a reaction time of 4 ms and from a range of up to 15 m.

References

  1. Alvaro Cassinelli, Jussi Angesleva, Yoshihiro Watanabe, Gonzalo Frasca, and Masatoshi Ishikawa. 2012. Skin games. In Proceedings of the 2012 ACM International Conference on Interactive Tabletops and Surfaces. 323–326.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Álvaro Cassinelli, Yusaku Kuribara, Alexis Zerroug, Masatoshi Ishikawa, and Daito Manabe. 2010. scoreLight: Playing with a Human-Sized Laser Pick-Up.. In NIME, Vol. 10. 144–149.Google ScholarGoogle Scholar
  3. Chris Harrison, Hrvoje Benko, and Andrew D. Wilson. 2011. OmniTouch: wearable multitouch interaction everywhere. In Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology. 441–450.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Sungho Jeon, Hiroyuki Fujita, and Hiroshi Toshiyoshi. 2013. A MEMS interactive laser projection display with a built-in laser range finder. In 2013 International Conference on Optical MEMS and Nanophotonics (OMN). 15–16. https://doi.org/10.1109/OMN.2013.6659036 ISSN: 2160-5041.Google ScholarGoogle ScholarCross RefCross Ref
  5. Antti Sand, Vera Remizova, I. Scott MacKenzie, Oleg Spakov, Katariina Nieminen, Ismo Rakkolainen, Anneli Kylliäinen, Veikko Surakka, and Julia Kuosmanen. 2020. Tactile feedback on mid-air gestural interaction with a large fogscreen. In Proceedings of the 23rd International Conference on Academic Mindtrek. 161–164.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Dominik Schmidt, David Molyneaux, and Xiang Cao. 2012. PICOntrol: using a handheld projector for direct control of physical devices through visible light. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology. 379–388.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Robert Xiao, Teng Cao, Ning Guo, Jun Zhuo, Yang Zhang, and Chris Harrison. 2018. LumiWatch: On-Arm Projected Graphics and Touch Input. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems(CHI ’18). Association for Computing Machinery, Montreal QC, Canada, 1–11. https://doi.org/10.1145/3173574.3173669Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Interactive Minimal Latency Laser Graphics Pipeline
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          SA '20: SIGGRAPH Asia 2020 Emerging Technologies
          December 2020
          38 pages
          ISBN:9781450381109
          DOI:10.1145/3415255

          Copyright © 2020 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 17 November 2020

          Check for updates

          Qualifiers

          • abstract
          • Research
          • Refereed limited

          Acceptance Rates

          Overall Acceptance Rate178of869submissions,20%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format