Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks

In recent years, growth in technology has significantly impacted various industries, including sports, health, e-commerce, and agriculture. Among these industries, the sports sector is experiencing significant transformation, which needs support in accurately monitoring athlete predicting and perfor...

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Main Author: ZhiGuo Zhu
Format: Article
Language:English
Published: PeerJ Inc. 2025-01-01
Series:PeerJ Computer Science
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Online Access:https://peerj.com/articles/cs-2637.pdf
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author ZhiGuo Zhu
author_facet ZhiGuo Zhu
author_sort ZhiGuo Zhu
collection DOAJ
description In recent years, growth in technology has significantly impacted various industries, including sports, health, e-commerce, and agriculture. Among these industries, the sports sector is experiencing significant transformation, which needs support in accurately monitoring athlete predicting and performance injuries arising due to traditional methods’ limitations. Keeping the above in mind, in this article, we present the Intelligent Sports Management System (ISMS) with the integration of wireless sensor networks (WSNs) and neural networks (NNs), which enhance athlete monitoring and injury prediction. Our proposed ISMS consists of several layers: user interface, business logic layer, data management layer, integration layer, analytics and AI layer, IoT layer, and security layer. To facilitate interactions for athletes, coaches, and administrators, our planned ISMS integrates a user-friendly interface accessible through web and mobile applications. Besides, scheduling and event management are managed by the business logic layer. Similarly, the data management layer can process and store comprehensive data from various sources. To ensure smooth data exchange, the integration layer connects the ISMS with third-party services, and the analytics and AI layer leverages machine learning to provide actionable insights on performance and outcomes. In addition, the IoT layer collects real-time data from sensors and wearable devices, which is essential for performance analysis and injury prevention. Finally, the security layer ensures data integrity and confidentiality with robust encryption and access controls. To evaluate the system performance in different scenarios, we performed many experiments, which show that the proposed ISMS model shows the system efficacy in improving accuracy (0.94), specificity (0.97), recall (0.91), precision (0.93), F1 score (0.95), mean absolute error (MAE) (0.6), mean square error (MSE) (0.8), and root mean square error (RMSE) (0.9), compared to traditional methods. From these results, it is clear that our suggested approach improves athlete performance monitoring, injury prevention plans, and training schedules by presenting a complete and novel solution for recent sports management.
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spelling doaj-art-c44a6778698746ca92cb8c7f070b49982025-02-02T15:05:27ZengPeerJ Inc.PeerJ Computer Science2376-59922025-01-0111e263710.7717/peerj-cs.2637Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networksZhiGuo ZhuIn recent years, growth in technology has significantly impacted various industries, including sports, health, e-commerce, and agriculture. Among these industries, the sports sector is experiencing significant transformation, which needs support in accurately monitoring athlete predicting and performance injuries arising due to traditional methods’ limitations. Keeping the above in mind, in this article, we present the Intelligent Sports Management System (ISMS) with the integration of wireless sensor networks (WSNs) and neural networks (NNs), which enhance athlete monitoring and injury prediction. Our proposed ISMS consists of several layers: user interface, business logic layer, data management layer, integration layer, analytics and AI layer, IoT layer, and security layer. To facilitate interactions for athletes, coaches, and administrators, our planned ISMS integrates a user-friendly interface accessible through web and mobile applications. Besides, scheduling and event management are managed by the business logic layer. Similarly, the data management layer can process and store comprehensive data from various sources. To ensure smooth data exchange, the integration layer connects the ISMS with third-party services, and the analytics and AI layer leverages machine learning to provide actionable insights on performance and outcomes. In addition, the IoT layer collects real-time data from sensors and wearable devices, which is essential for performance analysis and injury prevention. Finally, the security layer ensures data integrity and confidentiality with robust encryption and access controls. To evaluate the system performance in different scenarios, we performed many experiments, which show that the proposed ISMS model shows the system efficacy in improving accuracy (0.94), specificity (0.97), recall (0.91), precision (0.93), F1 score (0.95), mean absolute error (MAE) (0.6), mean square error (MSE) (0.8), and root mean square error (RMSE) (0.9), compared to traditional methods. From these results, it is clear that our suggested approach improves athlete performance monitoring, injury prevention plans, and training schedules by presenting a complete and novel solution for recent sports management.https://peerj.com/articles/cs-2637.pdfWireless sensor networksMachine learningSports managementAthlete performanceData securityComputer vision
spellingShingle ZhiGuo Zhu
Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
PeerJ Computer Science
Wireless sensor networks
Machine learning
Sports management
Athlete performance
Data security
Computer vision
title Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
title_full Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
title_fullStr Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
title_full_unstemmed Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
title_short Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
title_sort design and implementation of an intelligent sports management system isms using wireless sensor networks
topic Wireless sensor networks
Machine learning
Sports management
Athlete performance
Data security
Computer vision
url https://peerj.com/articles/cs-2637.pdf
work_keys_str_mv AT zhiguozhu designandimplementationofanintelligentsportsmanagementsystemismsusingwirelesssensornetworks