Wearable Sensors Integrated with Cloud Computing and Mobile Application Technology to Monitor Athletes' Physical Activity on an Internet of Things (IoT) Platform

Abstract

Wearable sensors are transforming physical education by enabling real-time monitoring and feedback to improve athletes’ performance. These sensors, combined with advanced technologies, bridge the gap between traditional methods and data-driven training models. However, current practices are subjective, leading to discrepancies in measuring physical activity, performance, and progress, with slow feedback for corrective actions. This research proposes the IoT-empowered Proactive-Pulsed Energizing (IoT-PE) model, integrating wearable sensors with cloud computing and mobile apps. The IoT-PE system collects real-time data on heart rate, movement, and calories burned, providing instant feedback through mobile and web applications. It ensures consistent, accurate assessments and enhances engagement through interactive feedback tools. The model personalizes training, allowing educators to tailor sessions based on individual needs. It also provides teachers with actionable insights and data visualizations for informed decision-making. By improving the accuracy of physical activity evaluations, fostering positive athlete interactions, and supporting continuous improvement through real-time feedback, the IoT-PE model enhances the quality of physical education. Furthermore, it encourages long-term fitness practices among athletes, contributing to a data-driven strategy for promoting lifelong health and fitness.