Accuracy Study of Smartwatch in Predicting Running Performance Across Various Distances: A Scientific Investigation

Abstract

Abstract BACKGROUND Smartwatches for running are highly prevalent among amateur runners. Their reliability and validity need investigation for accurate predicting running performance. OBJECTIVE This study aims to examine the accuracy of the HUAWEI WATCH GT Runner smartwatch in predicting running performance. METHODS A total of 154 amateur runners, comprising 123 men and 31 women, were recruited. After wearing the HUAWEI WATCH GT Runner for a minimum of six weeks, the runners' actual completion times for 5km, 10km, and half marathon distances were measured, resulting in 288 test instances. The predicted completion times for the same distances as displayed on the watch on the day of the test were simultaneously recorded. RESULTS The actual and predicted performances for the 5km, 10km, and 21.1km distances were highly correlated, with r ≥ 0.95 (P < 0.001), r2 ≥ 0.9 for all three distances, and an error rate between the measured and predicted values of less than 3%, and ICC ≥ 0.9. The Bias ± 95%LoA was − 20.6 ± 46.1 seconds for the 5km, 4.1 ± 299.1 seconds for the 10km, and 143.8 ± 400.4 seconds for the half marathon. CONCLUSIONS This study confirms that the smartwatch exhibits high precision in predicting 5km, 10km, and half marathon performances, with an accuracy exceeding 97%. The performance prediction feature of the smartwatch can effectively guide amateur runners in setting reasonable competition goals and preparing for races.