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Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm
IoT technology has scientific, advanced, and practical characteristics in wearable fitness equipment and artificial intelligence health management. On this basis, this paper discusses the intelligent health management system based on IoT technology. By building an IoT health management system, the d...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420609/ https://www.ncbi.nlm.nih.gov/pubmed/36045959 http://dx.doi.org/10.1155/2022/1654460 |
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author | Cao, Haibo |
author_facet | Cao, Haibo |
author_sort | Cao, Haibo |
collection | PubMed |
description | IoT technology has scientific, advanced, and practical characteristics in wearable fitness equipment and artificial intelligence health management. On this basis, this paper discusses the intelligent health management system based on IoT technology. By building an IoT health management system, the design principles and algorithm design of wearable fitness equipment are introduced around the device, and various noises that affect the accuracy of the equipment and how to better filter out various noises are also analyzed. The authors selected cloud service platforms and also investigated and analyzed the application prospects of wearable fitness equipment in the community. From the perspective of real-time monitoring, scientific management, and intelligent decision-making, we ensure high-quality, standardized, scientific, efficient, and accurate wearable fitness equipment applications and intelligent health management. In addition to simply viewing IoT technology as an information dissemination platform, IoT technology can also expand many other functions. According to the survey results of this article, 90% of people will use the APP with the function of sports and fitness in social media. One of the most concerned issues in the current society is the application of social media in national fitness activities. |
format | Online Article Text |
id | pubmed-9420609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94206092022-08-30 Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm Cao, Haibo Comput Intell Neurosci Research Article IoT technology has scientific, advanced, and practical characteristics in wearable fitness equipment and artificial intelligence health management. On this basis, this paper discusses the intelligent health management system based on IoT technology. By building an IoT health management system, the design principles and algorithm design of wearable fitness equipment are introduced around the device, and various noises that affect the accuracy of the equipment and how to better filter out various noises are also analyzed. The authors selected cloud service platforms and also investigated and analyzed the application prospects of wearable fitness equipment in the community. From the perspective of real-time monitoring, scientific management, and intelligent decision-making, we ensure high-quality, standardized, scientific, efficient, and accurate wearable fitness equipment applications and intelligent health management. In addition to simply viewing IoT technology as an information dissemination platform, IoT technology can also expand many other functions. According to the survey results of this article, 90% of people will use the APP with the function of sports and fitness in social media. One of the most concerned issues in the current society is the application of social media in national fitness activities. Hindawi 2022-08-21 /pmc/articles/PMC9420609/ /pubmed/36045959 http://dx.doi.org/10.1155/2022/1654460 Text en Copyright © 2022 Haibo Cao. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Cao, Haibo Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title | Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title_full | Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title_fullStr | Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title_full_unstemmed | Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title_short | Application of Smart Wearable Fitness Equipment and Smart Health Management Based on the Improved Algorithm |
title_sort | application of smart wearable fitness equipment and smart health management based on the improved algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420609/ https://www.ncbi.nlm.nih.gov/pubmed/36045959 http://dx.doi.org/10.1155/2022/1654460 |
work_keys_str_mv | AT caohaibo applicationofsmartwearablefitnessequipmentandsmarthealthmanagementbasedontheimprovedalgorithm |