poster

Temporal and Spatial Distortion for VR Rhythmic Skill Training

Authors:

Takashi Matsumoto,

Erwin Wu,

Hideki KoikeAuthors Info & Claims

SA '22: SIGGRAPH Asia 2022 Posters

Article No.: 49, Pages 1 - 2

https://doi.org/10.1145/3550082.3564160

Published: 13 December 2022 Publication History

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Abstract

In many sports, rhythmic skills are considered important. In this paper, we take juggling as an example and propose a VR system that simplifies the acquisition of a sense of rhythm. The proposed system uses temporal and spatial distortion and other functions to assist the training. A pilot study is conducted to validate the effectiveness of each function.

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[1]

Filip Borglund, Michael Young, Joakim Eriksson, and Anders Rasmussen. 2021. Feedback from HTC Vive Sensors Results in Transient Performance Enhancements on a Juggling Task in Virtual Reality. Sensors 21, 9 (2021). https://doi.org/10.3390/s21092966

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[2]

Keita Higuchi and Jun Rekimoto. 2013. Flying Head: A Head Motion Synchronization Mechanism for Unmanned Aerial Vehicle Control. In CHI ’13 Extended Abstracts on Human Factors in Computing Systems (Paris, France) (CHI EA ’13). Association for Computing Machinery, New York, NY, USA, 2029–2038. https://doi.org/10.1145/2468356.2468721

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[3]

Takashi Matsumoto, Erwin Wu, and Hideki Koike. 2022. Skiing, Fast and Slow: Evaluation of Time Distortion for VR Ski Training. In Augmented Humans 2022 (Kashiwa, Chiba, Japan) (AHs 2022). Association for Computing Machinery, New York, NY, USA, 142–151. https://doi.org/10.1145/3519391.3519402

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Published In

SA '22: SIGGRAPH Asia 2022 Posters

December 2022

120 pages

ISBN:9781450394628

DOI:10.1145/3550082

Editors:
Soon Ki Jung
Kyungpook National University, South Korea
,
Neil Dodgson
Victoria University of Wellington, New Zealand

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: 13 December 2022

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JST CREST
JST Moonshot R&D

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SIGGRAPH

SA '22: SIGGRAPH Asia 2022

December 6 - 9, 2022

Daegu, Republic of Korea

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Overall Acceptance Rate 178 of 869 submissions, 20%

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A Data-Driven, Player-Centric Approach to Designing Spatial Skill Training Video Games

A Testbed for Fun and Effective Features in Spatial Skill Training Games

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