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An interactive motion analysis framework for diagnosing and rectifying potential injuries caused through resistance training

  • Jake Hall
  • , Jacky C.P. Chan
  • , Hubert P.H. Shum
  • , Wei Wei
  • , Edmond S.L. Ho*
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

With the rapid increase in individuals participating in resistance training activities, the number of injuries pertaining to these activities has also grown just as aggressively. Diagnosing the causes of injuries and discomfort requires a large amount of resources from highly experienced physiotherapists. In this paper, we propose a new framework to analyse and visualize movement patterns during performance of four major compound lifts. The analysis generated will be used to efficiently determine whether the exercises are being performed correctly, ensuring anatomy remains within its functional range of motion, in order to prevent strain or discomfort that may lead to injury.

Original languageEnglish
Title of host publicationMIG 2019: Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games
EditorsStephen N. Spencer
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450369947
DOIs
Publication statusPublished - 28 Oct 2019
Event2019 ACM Conference on Motion, Interaction, and Games - Northunbria University, Newcastle upon Tyne, United Kingdom
Duration: 28 Oct 201930 Oct 2019
https://dl.acm.org/doi/proceedings/10.1145/3359566 (Conference proceeding)
https://web.archive.org/web/20241106123253/http://www.mig2019.website/ (Conference website)

Publication series

NameProceedings - MIG: ACM Conference on Motion, Interaction, and Games

Conference

Conference2019 ACM Conference on Motion, Interaction, and Games
Abbreviated titleMIG 2019
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne
Period28/10/1930/10/19
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

User-Defined Keywords

  • Motion analysis
  • Motion capture
  • Resistant training
  • Visualization

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