Abstract
This study evaluated agreement between PlayerTek™ 10 Hz GPS-derived total-distance and peak-speed measurements and practical field-based criterion measures and examined whether vertical sensor placement influenced agreement characteristics and measurement interchangeability. Following quality-control procedures, 758 paired observations were retained for analysis. Total-distance analyses included 533 paired observations from 55 participants collected during a modified team-sport simulation circuit, while peak-speed analyses included 225 paired observations from 68 participants during linear sprint testing. GPS units were positioned simultaneously at upper-back and mid-back locations. Agreement and measurement variability were assessed using established agreement-based statistical procedures, with secondary analyses evaluating placement equivalence and interchangeability. The upper-back placement demonstrated superior agreement with criterion measures compared with the mid-back placement. For total distance, upper-back measurements exhibited a small bias (0.57 m) and low variability (CV = 1.54%), whereas the mid-back placement demonstrated substantial systematic underestimation (−12.69 m), greater variability (CV = 4.18%), and poor agreement between placements. Equivalence testing confirmed that upper-back and mid-back placements were not interchangeable for total distance. For peak speed, upper-back measurements demonstrated stronger agreement with the criterion measure (ICC(A,1) = 0.864; CCC = 0.864) than the mid-back placement (ICC(A,1) = 0.770; CCC = 0.769), with smaller bias and lower variability. GPS-derived total-distance and peak-speed measurements demonstrated superior agreement characteristics when sensors were positioned at the manufacturer-recommended upper-back location. A small 10 cm inferior displacement of the sensor substantially altered total-distance measurements and reduced agreement with criterion measures, whereas peak-speed measurements were less affected. These findings highlight the importance of standardised sensor placement within applied athlete-monitoring environments.
| Original language | English |
|---|---|
| Article number | e0357116 |
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | PLoS ONE |
| Volume | 21 |
| Issue number | 9 |
| Early online date | 10 Sept 2026 |
| DOIs | |
| Publication status | Published (in print/issue) - 10 Sept 2026 |
Bibliographical note
Publisher Copyright:© 2026, Rooney et al. This is an open access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability Statement
The anonymised analytical dataset underlying the findings of this study is provided as S3 Dataset. The dataset is also openly available from the Ulster University Research Portal at https://doi.org/10.21251/a38ba55b-963f-4408-ba82-2993fda0614b under a CC BY 4.0 licence.Funding
The author(s) received no specific funding for this work.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Global Positioning System
- Athlete Monitoring
- Sensor Placement
- Measurement Validity
- Agreement
- Equivalence
- Interchangeability
- Humans
- Athletic Performance/physiology
- Geographic Information Systems/instrumentation
- Running/physiology
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Dive into the research topics of 'Influence of vertical GPS sensor placement on criterion agreement and interchangeability of distance and speed measures'. Together they form a unique fingerprint.Datasets
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Anonymised analytical dataset supporting: Influence of Vertical GPS Sensor Placement on Criterion Agreement and Interchangeability of Distance and Speed Measures
Rooney, L. (Creator), McMahon, G. (Creator) & Kennedy, R. (Creator), Ulster University, 6 Aug 2026
DOI: 10.21251/a38ba55b-963f-4408-ba82-2993fda0614b
Dataset
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