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VRTwitch: Enabling Micro-motions in VR with Radar Sensing

Published: 14 December 2021 Publication History

Abstract

Micro-motions are often difficult to incorporate in Virtual Reality (VR) while macro-motions are a popular interaction method, due to technological limitations with VR tracking methods. In this poster, we introduce VRTwitch, a forearm-mounted wearable device that is able to sense micro hand motions. VRTwitch uses an array of reconfigurable miniaturized radar sensors placed around the hand to capture subtle finger movements for gesture detection towards enhanced interaction in VR space. We created a simple interactive VR shooting game that requires precise finger motion for virtual gun manipulation as a demonstration.

Supplementary Material

Poster (sa2021_vrtwitch_poster.pdf)
MOV File (VRTwitch-1080.mov)
Supplemental video
MP4 File (3476124.3488650.mp4)
presentation

References

[1]
Daniel Lee Ashbrook. 2010. Enabling mobile microinteractions. Ph. D. Dissertation. Georgia Institute of Technology.
[2]
Barrett Ens, Aaron Quigley, Hui-Shyong Yeo, Pourang Irani, Thammathip Piumsomboon, and Mark Billinghurst. 2018. Counterpoint: Exploring mixed-scale gesture interaction for ar applications. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. 1–6.
[3]
Eiji Hayashi, Jaime Lien, Nicholas Gillian, Leonardo Giusti, Dave Weber, Jin Yamanaka, Lauren Bedal, and Ivan Poupyrev. 2021. RadarNet: Efficient Gesture Recognition Technique Utilizing a Miniature Radar Sensor. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3411764.3445367
[4]
Katrin Wolf, Anja Naumann, Michael Rohs, and Jörg Müller. 2011. A taxonomy of microinteractions: Defining microgestures based on ergonomic and scenario-Dependent requirements. In IFIP conference on human-computer interaction. Springer, 559–575.

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Published In

cover image ACM Conferences
SA '21 Posters: SIGGRAPH Asia 2021 Posters
December 2021
87 pages
ISBN:9781450386876
DOI:10.1145/3476124
  • Editors:
  • Shuzo John Shiota,
  • Ayumi Kimura,
  • Wan-Chun Alex Ma
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: 14 December 2021

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Author Tags

  1. Gesture recognition
  2. Micro-motion
  3. Project Soli
  4. Virtual Reality

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  • Poster
  • Research
  • Refereed limited

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SA '21
Sponsor:
SA '21: SIGGRAPH Asia 2021
December 14 - 17, 2021
Tokyo, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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