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 language | English |
|---|---|
| Title of host publication | MIG 2019: Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games |
| Editors | Stephen N. Spencer |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450369947 |
| DOIs | |
| Publication status | Published - 28 Oct 2019 |
| Event | 2019 ACM Conference on Motion, Interaction, and Games - Northunbria University, Newcastle upon Tyne, United Kingdom Duration: 28 Oct 2019 → 30 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
| Name | Proceedings - MIG: ACM Conference on Motion, Interaction, and Games |
|---|
Conference
| Conference | 2019 ACM Conference on Motion, Interaction, and Games |
|---|---|
| Abbreviated title | MIG 2019 |
| Country/Territory | United Kingdom |
| City | Newcastle upon Tyne |
| Period | 28/10/19 → 30/10/19 |
| Internet address |
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UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
User-Defined Keywords
- Motion analysis
- Motion capture
- Resistant training
- Visualization
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