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FroggyHand: A Gesture Based Control System for Omni-Directional Projections

Published: 18 April 2022 Publication History

Abstract

We would like to introduce FroggyHand, a novel interactive display which projects images onto a webbed skin between the user’s fingers. Applications connected to these images are then activated via hand tracking and gesture recognition. We present the implementation steps as well as small, prototype applications and discuss future plans.

Supplementary Material

MP4 File (FroggyHand.mp4)
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MP4 File (FroggyHandPresentationVideo.mp4)
Presentation video

References

[1]
Huidong Bai, Lei Gao, Jihad El-Sana, and Mark Billinghurst. 2013. Free-hand interaction for handheld augmented reality using an RGB-depth camera. In SIGGRAPH Asia 2013 Symposium on Mobile Graphics and Interactive Applications. 1–4.
[2]
Ivan Grishchenko and RE Valentin Bazarevsky. 2020. MediaPipe Holistic—Simultaneous Face, Hand and Pose Prediction, on Device. Retrieved June 15(2020), 2021.
[3]
Kosuke Maeda, Mitski Piekenbrock, Toshiki Sato, and Hideki Koike. 2018. A Tabletop System Using an OmniDirectional Projector-Camera. In Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces. 311–314.
[4]
Leo Miyashita, Tomohiro Yamazaki, Kenji Uehara, Yoshihiro Watanabe, and Masatoshi Ishikawa. 2018. Portable lumipen: Dynamic sar in your hand. In 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1–6.
[5]
Munir Oudah, Ali Al-Naji, and Javaan Chahl. 2020. Hand gesture recognition based on computer vision: a review of techniques. journal of Imaging 6, 8 (2020), 73.
[6]
Jesus Suarez and Robin R Murphy. 2012. Hand gesture recognition with depth images: A review. In 2012 IEEE RO-MAN: the 21st IEEE international symposium on robot and human interactive communication. IEEE, 411–417.
[7]
Luna Takagi, Toshiki Sato, Shio Miyafuji, and Hideki Koike. 2021. Real-time Projection of Lip Animation onto Face Masks using OmniProcam. In ACM SIGGRAPH 2021 Posters. 1–2.
[8]
Mais Yasen and Shaidah Jusoh. 2019. A systematic review on hand gesture recognition techniques, challenges and applications. PeerJ Computer Science 5(2019), e218.

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Published In

cover image ACM Other conferences
AHs '22: Proceedings of the Augmented Humans International Conference 2022
March 2022
350 pages
ISBN:9781450396325
DOI:10.1145/3519391
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2022

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Author Tags

  1. Augmented Reality
  2. HCI design and evaluation methods
  3. Human Computer Interaction (HCI)
  4. Human-centered computing

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  • Poster
  • Research
  • Refereed limited

Funding Sources

  • JSPS Kaken-hi

Conference

AHs 2022
AHs 2022: Augmented Humans 2022
March 13 - 15, 2022
Kashiwa, Chiba, Japan

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