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Stillness Moves: Exploring Body Weight-Transfer Learning in Physical Training for Tai-Chi Exercise

Authors:

Ping Hsuan Han,

Amy Ming Sui Lee,

Yi Ping HungAuthors Info & Claims

MMSports'18: Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports

Pages 21 - 29

https://doi.org/10.1145/3265845.3265856

Published: 19 October 2018 Publication History

Abstract

Body weight-transfer plays an important role in many exercises. The correlation of the body posture, movement, and weight-transfer will mutually affect the trainee to do well in performances such as Tai-Chi exercise. According to the traditional way of learning Tai-Chi, we proposed Stillness Moves, a physical training system for Tai-Chi, which captures and records users' skeleton movement and weight-transfer information for offering real-time and summary visual feedback. Based on above, we provide a gradual learning program in physical training, which combines body movement and weight-transfer learning. We evaluated our system and compared the performance without and with weight-transfer guidance in the user study. The result demonstrated that weight-transfer guidance is beneficial for trainee learning the Tai-Chi moves. For difficult moves, the trainee should learn the weight-transfer first, then, learning the body movement.

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Cited By

Xia H(2024)Kinematics and biomechanics analysis of classic 24-style taijiquanApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-13859:1Online publication date: 7-Jun-2024
https://doi.org/10.2478/amns-2024-1385
Lin KHung HChen N(2023)The effect of wearable technology on badminton learning performance: a multiple feedback WISER model in physical educationSmart Learning Environments10.1186/s40561-023-00247-910:1Online publication date: 5-Apr-2023
https://doi.org/10.1186/s40561-023-00247-9
Cao YFuste AHeun V(2022)MobileTutAR: a Lightweight Augmented Reality Tutorial System using Spatially Situated Human Segmentation VideosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519639(1-8)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3519639
Show More Cited By

Index Terms

Stillness Moves: Exploring Body Weight-Transfer Learning in Physical Training for Tai-Chi Exercise
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
  2. Interaction design
    1. Systems and tools for interaction design

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Published In

cover image ACM Conferences

MMSports'18: Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports

October 2018

110 pages

ISBN:9781450359818

DOI:10.1145/3265845

General Chairs:
Rainer Lienhart
University of Augsburg, Germany
,
Thomas B. Moeslund
Aalborg University, Denmark
,
Hideo Saito
Keio University, Japan
,
Rainer Lienhart
University of Augsburg, Germany

Copyright © 2018 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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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2018

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Ministry of Science and Technology of Taiwan

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MM '18

Sponsor:

SIGMM

MM '18: ACM Multimedia Conference

October 26, 2018

Seoul, Republic of Korea

Acceptance Rates

MMSports'18 Paper Acceptance Rate 12 of 23 submissions, 52%;

Overall Acceptance Rate 29 of 49 submissions, 59%

Upcoming Conference

MM '24

Sponsor:
sigmm

The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

Melbourne , VIC , Australia

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Cited By

Xia H(2024)Kinematics and biomechanics analysis of classic 24-style taijiquanApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-13859:1Online publication date: 7-Jun-2024
https://doi.org/10.2478/amns-2024-1385
Lin KHung HChen N(2023)The effect of wearable technology on badminton learning performance: a multiple feedback WISER model in physical educationSmart Learning Environments10.1186/s40561-023-00247-910:1Online publication date: 5-Apr-2023
https://doi.org/10.1186/s40561-023-00247-9
Cao YFuste AHeun V(2022)MobileTutAR: a Lightweight Augmented Reality Tutorial System using Spatially Situated Human Segmentation VideosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519639(1-8)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3519639
Jan YTseng KKao PHung Y(2021)Augmented Tai-Chi Chuan Practice Tool with Pose Evaluation2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR51284.2021.00013(35-41)Online publication date: Sep-2021
https://doi.org/10.1109/MIPR51284.2021.00013
Tharatipyakul AChoo KPerrault S(2020)Pose Estimation for Facilitating Movement Learning from Online VideosProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399835(1-5)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399835
Lin HHung YWeng SLee PSun W(2019)Effects of parent‐based social media and moderate exercise on the adherence and pulmonary functions among asthmatic childrenThe Kaohsiung Journal of Medical Sciences10.1002/kjm2.1212636:1(62-70)Online publication date: 11-Sep-2019
https://doi.org/10.1002/kjm2.12126

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