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PushToSki - An Indoor Ski Training System Using Haptic Feedback

Published:06 August 2021Publication History

ABSTRACT

Haptic feedback is an intuitive way of improving required postures in sports without having the trainee change their head-pose towards visual cues and therefore possibly worsening their overall body-pose. However, this feedback is not possible in a dynamic sport like alpine skiing which is why we propose a virtual reality ski training system that uses vibration as a haptic feedback method. Our system uses a commercially available indoor ski simulator and several trackers to capture the user’s motion together with a set of vibration motors which will provide direct, haptic feedback to the user. Our system therefore allows giving haptic feedback even while the trainee is moving on the simulator.

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References

  1. Takayuki Nozawa, Erwin Wu, and Hideki Koike. 2019. Vr ski coach: Indoor ski training system visualizing difference from leading skier. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 1341–1342.Google ScholarGoogle ScholarCross RefCross Ref
  2. Daniel Spelmezan. 2012. An investigation into the use of tactile instructions in snowboarding. In Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services. 417–426.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Janet Van Der Linden, Rose Johnson, Jon Bird, Yvonne Rogers, and Erwin Schoonderwaldt. 2011. Buzzing to play: lessons learned from an in the wild study of real-time vibrotactile feedback. In Proceedings of the SIGCHI Conference on Human factors in Computing Systems. 533–542.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Erwin Wu, Florian Perteneder, Hideki Koike, and Takayuki Nozawa. 2019. How to vizski: Visualizing captured skier motion in a vr ski training simulator. In The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry. 1–9.Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        SIGGRAPH '21: ACM SIGGRAPH 2021 Posters
        August 2021
        90 pages
        ISBN:9781450383714
        DOI:10.1145/3450618

        Copyright © 2021 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: 6 August 2021

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        Qualifiers

        • poster
        • Research
        • Refereed limited

        Acceptance Rates

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

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