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Developing a Motor Learning System to Visualize the Force and Breath Control in Kung Fu: A Feasibility Study

  • Hualin Zhang
  • , Yunlu Ding
  • , Qingchuan Li
  • , Xuetao Wei
  • , Jiaxin Zhang*
  • *Corresponding author for this work
  • Southern University of Science and Technology
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Kung Fu practice has been widely recognized for its health benefits, yet traditional learning methods face challenges such as lack of a scientific framework, high risk of injury, and environmental limitations. Current Kung Fu learning systems have improved these issues but fail to address the critical impact of force and breath, which are difficult to quantify and visualize. To address this gap, we designed an innovative Kung Fu learning system that visualizes force and breath and employs vibration to guide participants in exerting force at optimal moments. Experimental results demonstrate that our system with prompts significantly reduces usability and workload compared to the system without prompts. Future work should focus on enhancing movement accuracy and developing algorithms for monitoring force and breath, which will further improve the effectiveness and efficiency of Kung Fu learning.

Original languageEnglish
Title of host publicationHuman Aspects of IT for the Aged Population - 11th International Conference, ITAP 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
EditorsQin Gao, Jia Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages406-415
Number of pages10
ISBN (Print)9783031927096
DOIs
StatePublished - 2025
Externally publishedYes
Event11th International Conference on Human Aspects of IT for the Aged Population, ITAP 2025, held as part of the 27th HCI International Conference on Human-Computer Interaction, HCII 2025 - Gothenburg, Sweden
Duration: 22 Jun 202527 Jun 2025

Publication series

NameLecture Notes in Computer Science
Volume15810 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Human Aspects of IT for the Aged Population, ITAP 2025, held as part of the 27th HCI International Conference on Human-Computer Interaction, HCII 2025
Country/TerritorySweden
CityGothenburg
Period22/06/2527/06/25

Keywords

  • Haptic feedback
  • Motor Learning
  • Movement Guidance
  • Performance
  • Usability
  • Virtual Reality
  • Visual Effect
  • Workload

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