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Golf training system using sonification and virtual shadow

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Hideki KoikeAuthors Info & Claims

SIGGRAPH '19: ACM SIGGRAPH 2019 Emerging Technologies

Article No.: 14, Pages 1 - 2

https://doi.org/10.1145/3305367.3327993

Published: 28 July 2019 Publication History

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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/

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[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.

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[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.

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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.

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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.

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[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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Cited By

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Ma DHu XShi JPatel MJain RLiu ZZhu ZRamani K(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
https://dl.acm.org/doi/10.1145/3654777.3676400
Fitton IDark EOliveira da Silva MDalton JProulx MClarke CLutteroth C(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
https://dl.acm.org/doi/10.1145/3613904.3642550
Nakamura KKodama T(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
https://doi.org/10.5772/intechopen.1002624
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Index Terms

Golf training system using sonification and virtual shadow
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
      1. Auditory feedback
  2. Visualization
    1. Visualization application domains
      1. Information visualization

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A real-time golf-swing training system using sonification and sound image localization
VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology

There are real-time training systems to learn the correct golf swing form by providing visual feedback to the users. However, real-time visual feedback requires the users to see the display during their motion that leads to the wrong posture. This paper ...
Real-time Visual Feedback for Golf Training Using Virtual Shadow
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In this work, we propose a golf training system using real-time visual feedback. The system projects the virtual shadow of the user on the ground in front of the user; this shadow provides feedback to the user without form collapse. Additionally, an ...
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Abstract
A golf swing requires full-body coordination and much practice to perform the complex motion precisely and consistently. The force from the golfer’s full-body movement on the club and the trajectory of the swing are the main determinants of swing ...

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Published In

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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Association for Computing Machinery

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Published: 28 July 2019

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Japan Science and Technology Agency

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SIGGRAPH

SIGGRAPH '19: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 28, 2019

California, Los Angeles

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

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Ma DHu XShi JPatel MJain RLiu ZZhu ZRamani K(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
https://dl.acm.org/doi/10.1145/3654777.3676400
Fitton IDark EOliveira da Silva MDalton JProulx MClarke CLutteroth C(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
https://dl.acm.org/doi/10.1145/3613904.3642550
Nakamura KKodama T(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
https://doi.org/10.5772/intechopen.1002624
Liao CHwang DWu EKoike HWard JMcGill MMarky K(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
https://dl.acm.org/doi/10.1145/3582700.3582710
Fitton IClarke CDalton JProulx MLutteroth C(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
https://dl.acm.org/doi/10.1145/3544548.3580944
Nown TUpadhyay PKerr AAndonovic ITachtatzis CGrealy M(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
https://doi.org/10.1109/RBME.2022.3187840
Ishibashi KFujikawa T(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
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Hoffard JZhang XWu ENakamura TKoike H(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
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Liao CHwang DKoike H(2022)AI Golf: Golf Swing Analysis Tool for Self-TrainingIEEE Access10.1109/ACCESS.2022.321026110(106286-106295)Online publication date: 2022
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Wang HXie HMiyata K(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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A real-time golf-swing training system using sonification and sound image localization

Real-time Visual Feedback for Golf Training Using Virtual Shadow

Body Motion Analysis for Golf Swing Evaluation

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A real-time golf-swing training system using sonification and sound image localization

Real-time Visual Feedback for Golf Training Using Virtual Shadow

Body Motion Analysis for Golf Swing Evaluation

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