Between-system agreement of K-AI wearable tech (K-sport) and vector S7 global navigation satellite systems for measuring distance, velocity, and acceleration metrics
Dasso, Marco ORCID: https://orcid.org/0009-0003-8760-9408, Haycraft, Jade Alexandra Ziems
ORCID: https://orcid.org/0000-0002-2745-2969, Savoia, Cristian
ORCID: https://orcid.org/0000-0001-5713-0699, Beato, Marco and Parker, Stan
ORCID: https://orcid.org/0000-0002-2085-3495
(2026)
Between-system agreement of K-AI wearable tech (K-sport) and vector S7 global navigation satellite systems for measuring distance, velocity, and acceleration metrics.
International Journal of Sports Science and Coaching.
ISSN 1747-9541
Abstract
This study evaluated the agreement between K-AI Wearable Tech and the previously validated Vector S7 during an Australian football training session. Thirty sub-elite Australian football male players (21.6 ± 2.8 years) took part in the study. The K-AI Wearable Tech demonstrated mean absolute error (MAE) and root mean square error (RMSE) values of 74.1 m (1.00%) and 133.9 m (1.68%) for total distance, 52.6 m (6.46%) and 64.7 m (10.42%) for combined high-speed running-sprinting distance (> 19 (Formula presented) ), 6.5 m (4.66%) and 9.8 m (6.51%) for sprinting distance (> 25 (Formula presented) ). Acceleration and deceleration counts were 5.9 (13.92%) and 7.6 (17.04%), and 2.3 (10.07%) and 3.0 (13.66%), respectively. Peak and instantaneous velocity showed MAE and RMSE of 0.35 (Formula presented) (1.20%) and 0.39 (Formula presented) (1.35%), and 0.11 (Formula presented) (2.26%) and 0.15 (Formula presented) (3.03%), respectively. Mean biases (95% limits of agreement) were 64.2 m (−170.0 to 298.4) for total distance, 48.6 m (−36.6 to 133.8) for combined high-speed running-sprinting distance (> 19 (Formula presented) ), and −4.0 m (−21.9 to 13.9) for sprinting distance (> 25 (Formula presented) ). Acceleration and deceleration counts showed biases of −3.1 (−17.0 to 10.7) and 1.0 (−4.6 to 6.7), while peak and instantaneous velocity were 0.34 (Formula presented) (−0.05 to 0.73) and 0.11 (Formula presented) (−0.09 to 0.32), respectively. The intraclass correlation coefficient (ICC) ranged from very large to nearly perfect across all metrics assessed. Collectively, these findings demonstrate that the K-AI Wearable Tech produced distance-, velocity-, and acceleration-based outputs comparable to those obtained from Vector S7. However, the magnitudes of both absolute and proportional differences should be considered when interpreting agreement between systems.
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/50399 |
| DOI | 10.1177/17479541261475069 |
| Official URL | https://doi.org/10.1177/17479541261475069 |
| Subjects | Current > Division/Research > Institute for Health and Sport |
| Download/View statistics | View download statistics for this item |
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