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Golf training system using sonification and virtual shadow

Published: 28 July 2019 Publication History

Abstract

This paper proposed a golf training system using real-time audio-visual feedback. The system captures user's motion with an optical motion tracking system and projects his/her posture as a virtual shadow on the ground. Unlike other golf training systems, our system enables the user to keep his/her gaze on the ball. The model swing motion of the expert golfer is also overlaid so that the user can understand the difference between his/her motion and expert's. Moreover, the system provides audio feedback using sound image localization. It enables the user to understand the position and orientation of the club face, which is often out of sight of the user during his/her swing motion.

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References

[1]
Bill Gardner. 1994. HRTF Measurements of a KEMAR Dummy-Head Micro-phone. http://sound.media.mit.edu/KEMAR.html (1994). https://ci.nii.ac.jp/naid/10022493601/
[2]
Atsuki Ikeda, Dong Hyun Hwang, and Hideki Koike. 2018a. AR based Self-sports Learning System using Decayed Dynamic TimeWarping Algorithm. In ICAT-EGVE 2018 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, Gerd Bruder, Shunsuke Yoshimoto, and Sue Cobb (Eds.). The Eurographics Association.
[3]
Atsuki Ikeda, Dong-Hyun Hwang, and Hideki Koike. 2018b. Real-time Visual Feedback for Golf Training Using Virtual Shadow. In Proceedings of the 2018 ACM International Conference on Interactive Surfaces and Spaces (ISS '18). ACM, New York, NY, USA, 445--448.
[4]
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black. 2015. SMPL: A Skinned Multi-person Linear Model. ACM Trans. Graph. 34, 6, Article 248 (Oct. 2015), 16 pages.
[5]
Roland Sigrist, Georg Rauter, Laura Marchal-Crespo, Robert Riener, and Peter Wolf. 2015. Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning. Experimental Brain Research 233, 3 (01 Mar 2015), 909--925.
[6]
Yuka Tanaka, Homare Kon, and Hideki Koike. 2018. A Real-time Golf-swing Training System Using Sonification and Sound Image Localization. In Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology (VRST '18). ACM, New York, NY, USA, Article 66, 2 pages.

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  • (2024)avaTTAR: Table Tennis Stroke Training with Embodied and Detached Visualization in Augmented RealityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676400(1-16)Online publication date: 13-Oct-2024
  • (2024)Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor TaskProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642550(1-19)Online publication date: 11-May-2024
  • (2023)Development of quantitative motion analysis software specific to boxing competitionsTechnology in Sports - Recent Advances, New Perspectives and Application [Working Title]10.5772/intechopen.1002624Online publication date: 21-Sep-2023
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cover image ACM Conferences
SIGGRAPH '19: ACM SIGGRAPH 2019 Emerging Technologies
July 2019
54 pages
ISBN:9781450363082
DOI:10.1145/3305367
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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Publication History

Published: 28 July 2019

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Author Tags

  1. golf
  2. multimodal feedback
  3. shadow
  4. sonification
  5. sports training

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

View all
  • (2024)avaTTAR: Table Tennis Stroke Training with Embodied and Detached Visualization in Augmented RealityProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676400(1-16)Online publication date: 13-Oct-2024
  • (2024)Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor TaskProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642550(1-19)Online publication date: 11-May-2024
  • (2023)Development of quantitative motion analysis software specific to boxing competitionsTechnology in Sports - Recent Advances, New Perspectives and Application [Working Title]10.5772/intechopen.1002624Online publication date: 21-Sep-2023
  • (2023)AI Coach: A Motor Skill Training System using Motion Discrepancy DetectionProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582710(179-189)Online publication date: 12-Mar-2023
  • (2023)Dancing with the Avatars: Minimal Avatar Customisation Enhances Learning in a Psychomotor TaskProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580944(1-16)Online publication date: 19-Apr-2023
  • (2023)A Mapping Review of Real-Time Movement Sonification Systems for Movement RehabilitationIEEE Reviews in Biomedical Engineering10.1109/RBME.2022.318784016(672-686)Online publication date: 2023
  • (2022)AR boxing system for solo training of punching formパンチフォームの自主練習を目的としたARボクシングシステムThe Journal of the Society for Art and Science10.3756/artsci.21.121:1(1-10)Online publication date: 30-Mar-2022
  • (2022)SkiSim: A comprehensive Study on Full Body Motion Capture and Real-Time Feedback in VR Ski TrainingProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519400(131-141)Online publication date: 13-Mar-2022
  • (2022)AI Golf: Golf Swing Analysis Tool for Self-TrainingIEEE Access10.1109/ACCESS.2022.321026110(106286-106295)Online publication date: 2022
  • (2022)ILoveEye: Eyeliner Makeup Guidance System with Eye Shape FeaturesAdaptive Instructional Systems10.1007/978-3-031-05887-5_17(238-254)Online publication date: 26-Jun-2022
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