Hall, Jake, Chan, Jacky C. P., Shum, Hubert and Ho, Edmond (2019) An interactive motion analysis framework for diagnosing and rectifying potential injuries caused through resistance training. In: Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games: Newcastle upon Tyne, England, October 28-30, 2019. Association for Computing Machinery, New York, p. 39. ISBN 9781450369947
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Hall et al - An interactive motion analysis framework for diagnosing and rectifying potential injuries caused through resistance training AAM.pdf - Accepted Version Download (460kB) | Preview |
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.
Item Type: | Book Section |
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Uncontrolled Keywords: | motion capture, motion analysis, resistant training, visualization |
Subjects: | G400 Computer Science |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Paul Burns |
Date Deposited: | 01 Oct 2019 11:29 |
Last Modified: | 31 Jul 2021 12:17 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/40943 |
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