research-article

How to VizSki: Visualizing Captured Skier Motion in a VR Ski Training Simulator

Authors:

Florian Perteneder,

Takayuki NozawaAuthors Info & Claims

VRCAI '19: Proceedings of the 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

Article No.: 5, Pages 1 - 9

https://doi.org/10.1145/3359997.3365698

Published: 14 November 2019 Publication History

Abstract

Alpine ski training is restricted by environmental requirements and the incremental and cyclical ways of how movement and form are taught. Therefore, we propose a virtual reality ski training system based on an indoor ski simulator. The system uses two trackers to capture the motion of skis so that users can control them on the virtual ski slope. For training we captured the motion of professional athletes and replay them to the users to help them to improve their skills. In two studies, we explore the utility of visual cues to help users to effectively learn the motion patterns from the pro-skier. In addition, we look at the impact of feedback on this learning process. The work provides the basis for developing and understanding the possibilities and limitations of VR ski simulators, which have the potential to support skiers in their learning process.

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Cited By

Li XFan DFeng JLei YCheng CLi X(2024)Systematic review of motion capture in virtual reality: Enhancing the precision of sports trainingJournal of Ambient Intelligence and Smart Environments10.3233/AIS-230198(1-23)Online publication date: 22-Jan-2024
https://doi.org/10.3233/AIS-230198
Ojima YOkamoto SYem VIkei Y(2024)Go Mountain! VR: Virtual Poles and Physical Motions for Trekking and Skiing ExperiencesSIGGRAPH Asia 2024 Emerging Technologies10.1145/3681755.3688940(1-3)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3681755.3688940
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
Show More Cited By

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How to VizSki: Visualizing Captured Skier Motion in a VR Ski Training Simulator

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cover image ACM Conferences

VRCAI '19: Proceedings of the 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

November 2019

354 pages

ISBN:9781450370028

DOI:10.1145/3359997

Conference Chairs:
Joaquim Jorge
INESC/ID & Univ Lisboa, Portugal
,
June Kim
University of New South Wales, Australia
,
Herman Van Eyken
Griffith University, Queensland, Australia
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Mashhuda Glencross
University of Queensland, Australia
,
Kenny Mitchell
Disney Research, USA and Edinburgh Napier University, UK
,
Takuji Narumi
University of Tokyo, Japan

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

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Published: 14 November 2019

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JST CREST

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VRCAI '19

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SIGGRAPH

VRCAI '19: The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry

November 14 - 16, 2019

QLD, Brisbane, Australia

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Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

Li XFan DFeng JLei YCheng CLi X(2024)Systematic review of motion capture in virtual reality: Enhancing the precision of sports trainingJournal of Ambient Intelligence and Smart Environments10.3233/AIS-230198(1-23)Online publication date: 22-Jan-2024
https://doi.org/10.3233/AIS-230198
Ojima YOkamoto SYem VIkei Y(2024)Go Mountain! VR: Virtual Poles and Physical Motions for Trekking and Skiing ExperiencesSIGGRAPH Asia 2024 Emerging Technologies10.1145/3681755.3688940(1-3)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3681755.3688940
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
Matsumoto TWu ELiao CKoike H(2024)ARpenSki: Augmenting Ski Training with Direct and Indirect Postural Visualization2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00024(1-9)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00024
Wu EMatsumoto TLiao CLiu RKatsuyama HInaba YHakamada NYamamoto YIshige YKoike HLienhart RMoeslund TSaito H(2023)SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and ElectromyographyProceedings of the 6th International Workshop on Multimedia Content Analysis in Sports10.1145/3606038.3616151(3-8)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3606038.3616151
Miura YWu EKuribayashi MKoike HMorishima SWard JMcGill MMarky K(2023)Exploration of Sonification Feedback for People with Visual Impairment to Use Ski SimulatorProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582702(147-158)Online publication date: 12-Mar-2023
https://dl.acm.org/doi/10.1145/3582700.3582702
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
Jo HSeidel LPahud MSinclair MBianchi A(2023)FlowAR: How Different Augmented Reality Visualizations of Online Fitness Videos Support Flow for At-Home Yoga ExercisesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580897(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580897
Suzuki YSakamoto DOno T(2023)Gino .Aiki: Mixed Reality-based Physical Motor Skill Training in Aikido2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00112(519-524)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00112
Okada YSeo CMiyakawa STaniguchi MKanosue KOgata HOhya J(2023)Virtual Ski Training System that Allows Beginners to Acquire Ski Skills Based on Physical and Visual Feedbacks2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342020(1268-1275)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IROS55552.2023.10342020
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