Internet of things-based smart wearable system to monitor sports person health
Autor: | R.S. Aiswarya, Fen Li, Oscar Sanjuán Martínez |
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Rok vydání: | 2021 |
Předmět: |
IoT
Process (engineering) Computer science Health Status Internet of Things Biomedical Engineering Biophysics Wearable computer wearable device Health Informatics Bioengineering 02 engineering and technology Athletic Performance Biomaterials Wearable Electronic Devices Human–computer interaction 0202 electrical engineering electronic engineering information engineering Humans Scopus Monitoring Physiologic Internet business.industry 020206 networking & telecommunications internet of things-based smart wearable system (IOT-SWS) Wearable systems Athletes JCR 020201 artificial intelligence & image processing business Information Systems |
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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