Xinyang Normal University, Xinyang, Henan 464000, China.
Comput Intell Neurosci. 2022 Aug 21;2022:1654460. doi: 10.1155/2022/1654460. eCollection 2022.
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.
物联网技术在可穿戴健身设备和人工智能健康管理方面具有科学性、先进性和实用性。在此基础上，本文探讨了基于物联网技术的智能健康管理系统。通过构建物联网健康管理系统，围绕设备介绍了可穿戴健身设备的设计原则和算法设计，并分析了影响设备精度的各种噪声以及如何更好地滤除各种噪声。作者选择了云服务平台，并调查和分析了可穿戴健身设备在社区中的应用前景。从实时监控、科学管理和智能决策的角度，我们确保高质量、标准化、科学、高效和准确的可穿戴健身设备应用和智能健康管理。除了简单地将物联网技术视为信息传播平台外，物联网技术还可以扩展许多其他功能。根据本文的调查结果，90%的人会在社交媒体上使用具有运动和健身功能的 APP。当前社会最关注的问题之一是社交媒体在全民健身活动中的应用。
