Accuracy of smartwatches in predicting distance running performance
ObjectiveThis study examined the accuracy of smartwatches in predicting running performance.MethodsA total of 154 amateur runners (123 males and 31 females) were recruited. After wearing the HUAWEI WATCH GT Runner for a minimum of six weeks, the runners' actual completion times for 5 km, 10 km,...
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| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Sports and Active Living |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fspor.2025.1517632/full |
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| author | Jiansong Dai Gangrui Chen Zhonghe Gu Yuxuan Qi Kai Xu |
| author_facet | Jiansong Dai Gangrui Chen Zhonghe Gu Yuxuan Qi Kai Xu |
| author_sort | Jiansong Dai |
| collection | DOAJ |
| description | ObjectiveThis study examined the accuracy of smartwatches in predicting running performance.MethodsA total of 154 amateur runners (123 males and 31 females) were recruited. After wearing the HUAWEI WATCH GT Runner for a minimum of six weeks, the runners' actual completion times for 5 km, 10 km, and half marathon distances were measured, resulting in 288 test instances. The predicted completion times for the same distances displayed on the watch on the test day were recorded simultaneously.ResultsThe actual and predicted performances for the 5, 10, and 21.1 km distances were highly correlated, with r ≥ 0.95 (p < 0.001) and r2 ≥ 0.9 for all three distances, an error rate between the measured and predicted values of less than 3%, and intraclass correlation coefficient ≥0.9. The bias ± 95% limits of agreement were −20.4 ± 44.2 s for 5 km, 4.1 ± 299.1 s for 10 km, and 143.8 ± 400.4 s for the half marathon.ConclusionsThis study confirmed that the smartwatch exhibits high precision in predicting 5 km, 10 km, and half marathon performances, with an accuracy exceeding 97%. The performance prediction features of smartwatches can effectively guide amateur runners in setting reasonable competition goals and preparing for races. |
| format | Article |
| id | doaj-art-5dcd22a680f34507ac03b83bae734764 |
| institution | Kabale University |
| issn | 2624-9367 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sports and Active Living |
| spelling | doaj-art-5dcd22a680f34507ac03b83bae7347642025-01-29T06:46:03ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672025-01-01710.3389/fspor.2025.15176321517632Accuracy of smartwatches in predicting distance running performanceJiansong Dai0Gangrui Chen1Zhonghe Gu2Yuxuan Qi3Kai Xu4Department of Sports and Health, Nanjing Sport Institute, Nanjing, ChinaSport Science Research Institute, Nanjing Sport Institute, Nanjing, ChinaDepartment of Sports and Health, Nanjing Sport Institute, Nanjing, ChinaSchool of Physical Education, Performance and Sport Leadership, Springfield College, Springfield, MA, United StatesDepartment of Sports and Health, Nanjing Sport Institute, Nanjing, ChinaObjectiveThis study examined the accuracy of smartwatches in predicting running performance.MethodsA total of 154 amateur runners (123 males and 31 females) were recruited. After wearing the HUAWEI WATCH GT Runner for a minimum of six weeks, the runners' actual completion times for 5 km, 10 km, and half marathon distances were measured, resulting in 288 test instances. The predicted completion times for the same distances displayed on the watch on the test day were recorded simultaneously.ResultsThe actual and predicted performances for the 5, 10, and 21.1 km distances were highly correlated, with r ≥ 0.95 (p < 0.001) and r2 ≥ 0.9 for all three distances, an error rate between the measured and predicted values of less than 3%, and intraclass correlation coefficient ≥0.9. The bias ± 95% limits of agreement were −20.4 ± 44.2 s for 5 km, 4.1 ± 299.1 s for 10 km, and 143.8 ± 400.4 s for the half marathon.ConclusionsThis study confirmed that the smartwatch exhibits high precision in predicting 5 km, 10 km, and half marathon performances, with an accuracy exceeding 97%. The performance prediction features of smartwatches can effectively guide amateur runners in setting reasonable competition goals and preparing for races.https://www.frontiersin.org/articles/10.3389/fspor.2025.1517632/fullsmartwatchrunningperformance predictionamateur runnersaccuracy |
| spellingShingle | Jiansong Dai Gangrui Chen Zhonghe Gu Yuxuan Qi Kai Xu Accuracy of smartwatches in predicting distance running performance Frontiers in Sports and Active Living smartwatch running performance prediction amateur runners accuracy |
| title | Accuracy of smartwatches in predicting distance running performance |
| title_full | Accuracy of smartwatches in predicting distance running performance |
| title_fullStr | Accuracy of smartwatches in predicting distance running performance |
| title_full_unstemmed | Accuracy of smartwatches in predicting distance running performance |
| title_short | Accuracy of smartwatches in predicting distance running performance |
| title_sort | accuracy of smartwatches in predicting distance running performance |
| topic | smartwatch running performance prediction amateur runners accuracy |
| url | https://www.frontiersin.org/articles/10.3389/fspor.2025.1517632/full |
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