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

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: MIG 2019 : 12th annual ACM/SIGGRAPH conference on Motion, Interaction and Games, 28-30 Oct 2019, Newcastle upon Tyne, England. (In Press)

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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: Conference or Workshop Item (Poster)
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: 11 Oct 2019 13:31
URI: http://nrl.northumbria.ac.uk/id/eprint/40943

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