Validity of a smartphone app using artificial intelligence for the real-time measurement of barbell velocity in the bench press exercise
Article
Balsalobre-Fernández, C., Xu, J., Jarvis, P., Thompson, S., Tannion, K. and Bishop, C. 2023. Validity of a smartphone app using artificial intelligence for the real-time measurement of barbell velocity in the bench press exercise. The Journal of Strength and Conditioning Research. 37 (12), pp. e640-e645. https://doi.org/10.1519/jsc.0000000000004593
| Type | Article |
|---|---|
| Title | Validity of a smartphone app using artificial intelligence for the real-time measurement of barbell velocity in the bench press exercise |
| Authors | Balsalobre-Fernández, C., Xu, J., Jarvis, P., Thompson, S., Tannion, K. and Bishop, C. |
| Abstract | The purpose of this study was to explore the validity and within-session reliability of the newly developed My Jump Lab application (app), which uses artificial intelligence techniques to monitor barbell velocity in real time. Twenty-seven sport science students performed 5 repetitions at 50 and 75% of their self-reported bench press 1 repetition maximum (1RM) during a single testing session, whereas barbell velocity was concurrently measured using the app (installed on an iPhone 12 Pro) and the GymAware linear position transducer (LPT). A very high correlation was observed between devices at each loading condition (50% 1RM: r = 0.90 [0.82–0.97]; 75% 1RM: r = 0.92 [0.86–0.98]). Results showed trivial differences between the app and LPT at both 50% 1RM (g = −0.06) and 75% 1RM (g = −0.12). Bland-Altman analysis showed a bias estimate of −0.010 m·s−1 and −0.026 m·s−1 for the 50 and 75% 1RM, respectively. Finally, similar levels of reliability, as revealed by the coefficient of variation, were observed for both devices (50% 1RM: LPT = 6.52%, app = 8.17%; 75% 1RM: LPT = 12.10%, app = 13.55%). Collectively, the findings of this study support the use of My Jump Lab for the measurement of real-time barbell velocity in the bench press exercise. |
| Sustainable Development Goals | 3 Good health and well-being |
| Middlesex University Theme | Health & Wellbeing |
| Publisher | Lippincott, Williams & Wilkins |
| Journal | The Journal of Strength and Conditioning Research |
| ISSN | 1064-8011 |
| Electronic | 1533-4287 |
| Publication dates | |
| Dec 2023 | |
| Publication process dates | |
| Accepted | 07 Sep 2023 |
| Deposited | 23 Sep 2025 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1519/jsc.0000000000004593 |
https://repository.mdx.ac.uk/item/2q532w
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