Internet of things-based smart wearable system to monitor sports person health

Autor: R.S. Aiswarya, Fen Li, Oscar Sanjuán Martínez
Rok vydání: 2021
Předmět:
Zdroj: Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
ISSN: 1878-7401
0928-7329
Popis: BACKGROUND: The modern Internet of Things (IoT) makes small devices that can sense, process, interact, connect devices, and other sensors ready to understand the environment. IoT technologies and intelligent health apps have multiplied. The main challenges in the sports environment are playing without injuries and healthily. OBJECTIVE: In this paper the Internet of Things-based Smart Wearable System (IoT-SWS) is introduced for monitoring sports person activity to improve sports person health and performance in a healthy way. METHOD: Wearable systems are commonly used to capture individual sports details on a real-time basis. Collecting data from wearable devices and IoT technologies can help organizations learn how to optimize in-game strategies, identify opponents’ vulnerabilities, and make smarter draft choices and trading decisions for a sportsperson. RESULTS: The experimental result shows that IoT-SWS achieve the highest accuracy of 98.22% and efficient in predicting the sports person’s health to improve sports person performance reliably.
Databáze: OpenAIRE
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