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Demonstration of Electrical Head Actuation: Enabling Interactive Systems to Directly Manipulate Head Orientation

Published:25 July 2022Publication History

ABSTRACT

We demonstrate a novel interface concept in which interactive systems directly manipulate the user’s head orientation. We implement this using electrical-muscle-stimulation (EMS) of the neck muscles, which turns the head around its yaw (left/right) and pitch (up/down) axis. At SIGGRAPH 2022 Emerging Techinologies, we will demonstrate how this technology enables novel interactions via two example applications: (1) finding different visual targets in mixed reality while the system actuates the user’s head orientation to guide their point-of-view; (2) a VR roller coaster application where the user’s head nods up as the ride accelerates.

References

  1. Jan Gugenheimer, Dennis Wolf, Pattie Maes, and Enrico Rukzio. 2016. Gyrovr: Simulating inertia in virtual reality using head worn flywheels. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yuki Kon, Takuto Nakamura, and Hiroyuki Kajimoto. 2017. HangerOVER: HMD-embedded haptics display with hanger reflex. In ACM SIGGRAPH 2017 Emerging Technologies.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Shi-Hong Liu, Pai-Chien Yen, Yi-Hsuan Mao, Yu-Hsin Lin, Erick Chandra, and Mike Y Chen. 2020. HeadBlaster: a wearable approach to simulating motion perception using head-mounted air propulsion jets. ACM Transactions on Graphics (TOG) 39, 4 (2020).Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Yudai Tanaka, Jun Nishida, and Pedro Lopes. 2022. Electrical Head Actuation: Enabling Interactive Systems to Directly Manipulate Head Orientation. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Haohan Zhang, Biing-Chwen Chang, Jinsy Andrews, Hiroshi Mitsumoto, and Sunil Agrawal. 2019. A robotic neck brace to characterize head-neck motion and muscle electromyography in subjects with amyotrophic lateral sclerosis. Annals of clinical and translational neurology 6, 9 (2019).Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Emerging Technologies
    July 2022
    23 pages
    ISBN:9781450393638
    DOI:10.1145/3532721

    Copyright © 2022 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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 July 2022

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    • Refereed limited

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    Overall Acceptance Rate1,822of8,601submissions,21%

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    SIGGRAPH '24
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