Abstract
Weightlifting is easy to learn, but difficult to master. People who do weightlifting do it to improve their health, strengthen their muscles and build their physique. However, due to the complex and precise body positioning required, even experienced weightlifters require assistance in perfecting their technique. At the same time, the training requirements of the individual change over time, as they perfect and hone their craft. To help weightlifters achieve optimum personal performance, we designed Weight-Mate, a prototype wearable system for giving weightlifters of different skill levels personalized, precise and non-distracting immediate feedback on how to correct their current body positioning during deadlift training. By iterating Weight-Mate using cooperative usability testing (CUT) with weightlifters of different competencies with their coaches we designed a system that could adapt to individual physiology and training needs. The Weight-Mate sensor suit maps the lifter's body configuration against the ideal deadlift position throughout all stages of the life, as defined by their coach, and provides nonintrusive feedback to the lifter to correct their body position. Our formative evaluation with ten weightlifters shows that an adaptive approach to digital weight training offers great promise in assisting weight lifters of all levels to improve their technique, and hence improve the safety of the sport.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI'19) |
| Editors | Jared Donovan, Simon Perrault |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 95-105 |
| Number of pages | 11 |
| ISBN (Electronic) | 9781450376969 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | Australian Computer Human Interaction Conference 2019 - Esplanade Hotel Fremantle, Fremantle, Australia Duration: 2 Dec 2019 → 5 Dec 2019 Conference number: 31st http://ozchi2019.visemex.org/wp/ https://dl.acm.org/doi/proceedings/10.1145/3369457 (Proceedings) |
Conference
| Conference | Australian Computer Human Interaction Conference 2019 |
|---|---|
| Abbreviated title | OZCHI 2019 |
| Country/Territory | Australia |
| City | Fremantle |
| Period | 2/12/19 → 5/12/19 |
| Internet address |
Keywords
- Adaptive systems
- Assistive training technologies
- IMU sensors
- Interaction design
- User feedback.
- Wearables
- Weightlifting
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