Niu ZhiruiThis email address is being protected from spambots. You need JavaScript enabled to view it.
School of Physical Education, Sichuan University of Commerce, Chengdu, Sichuan 61174, China
Received: October 6, 2025 Accepted: December 18, 2025 Publication Date: March 2, 2026
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Wearable embedded devices are a significant innovation in football training, providing real-time physiological and technical data crucial for skill acquisition. This study assessed their efficacy in enhancing training efficiency compared to conventional methods. Thirty amateur and semi-professional players aged 18-30 participated, training while wearing devices equipped with motion and physiological sensors. Quantitative metrics-including sprint speed, passing efficiency, joint angular kinematics, and energy expenditure-were collected over six weeks, with baseline measurements taken before the intervention. Data analysis employed correlation and regression techniques to link wearable metrics with skill improvement. Results showed significant gains, including a 12% increase in passing accuracy and a 15% improvement in sprint speed. High correlation coefficients (above 0.7 ) indicated strong relationships between wearable-derived data and performance enhancements. The combination of real-time feedback and individualized training schedules proved more effective than traditional approaches. Overall, wearable embedded devices offer a novel, evidence-based, and personalized method for optimizing football training and improving technical, physical, and biomechanical performance.
Keywords: Football training; wearable embedded devices; skill enhancement; motion monitoring; physiological metrics; biomechanics; real-time analytics; performance optimization; IoT in sports
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