What question did this study set out to answer?

The research aims to evaluate the impact of wearable technology on athlete performance during training.

April 1, 2026Open Access

Real-time Dynamic Data-driven Wearable Devices in Sports Training

Key Points

The research aims to evaluate the impact of wearable technology on athlete performance during training.
Included 120 athletes from football, rugby, and swimming.
Utilized various advanced wearable devices over a 12-week training program.
Collected survey data on device usability, data accuracy, and impact on performance.
Analyzed performance metrics such as sprint time, endurance, and recovery rate.
Participants reported high satisfaction scores across various device features.
Substantial improvements were observed in sprint time and endurance.
Case studies showed performance gains of 8-12% in soccer.
A 23% reduction in milestone achievement time was noted in swimming.
Reduced injury downtime was experienced in rugby.

Abstract

Wearable technology has become indispensable in modern sports training, enabling the realtime monitoring of biometric data and enhancing athlete performance through dynamic, datadriven feedback.In this study, 120 athletes from football, rugby, and swimming participated in a 12-week training program using advanced wearable devices, including Garmin Forerunner, Fitbit Charge 6, ActiGraph GTX3+, and Polar Team2 Pro.The survey results revealed high satisfaction with the devices: usability and comfort mean score of 4.00, standard deviation (SD) of 0.46, data accuracy and reliability (mean score of 4.05, SD of 0.42), impact on training and performance (mean score of 4.03, SD of 0.52), and overall satisfaction (mean score of 4.01, SD of 0.46).Despite nonsignificant correlations among these variables, the participants reported substantial improvements in sprint time, endurance, and recovery rate.Case studies demonstrated performance gains of 8-12% in soccer, a 23% reduction in milestone achievement time in swimming, and a reduced injury downtime in rugby.The results showed the contribution of advanced sensor technology, such as photoplethysmography, electrocardiogram, accelerometers, and GPS modules, in enabling precise, adaptive training programs.The integration of machine learning and mobile applications enhances personalization, injury prevention, and tactical analysis.This research underscores the pivotal role of sensor development in shaping the future of sports training, where wearable devices provide reliable, actionable insights for athletes and coaches.

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