Abstract
With the improvement of people's income levels in recent years, people have gradually begun to pay more attention to health, and the number of exercise and fitness people has increased year by year. People are gradually willing to pay for sports and fitness, increase sports consumption, and promote the development of the sports and fitness industry. This article aims to study the deep learning based on the Internet of things to make people aware of the importance of sports. Not loving sports is a major problem that contemporary people need to overcome. This article proposes how to design a motion detection device in sports based on deep learning of the Internet of things. Based on the calculation of the economic volume of the deep learning of the Internet of things and the questionnaire survey method, it can be seen that, in today's globalization, although everyone knows the importance of sports, they are unwilling to practice it and would rather spend more time on the Internet. The experimental results of this article show that more than 50% of college students are very interested in sports and fitness, but the actual use is less than 30%, which is not optimistic. In social surveys, this number will be even lower, with only 14% of people interested in sports. Big data is like a “double-edged sword.” It not only displays the user's exercise data in front of everyone through the built-in sensors of the mobile phone, but also manages their physical condition through these. How to use the strengths of sports applications at the same time properly disposing of private information is a part of the next development of sports applications that must be faced.
Highlights
The development of the network moves from the Internet to the direction that all devices and machines can be connected to each other. e Internet of things (IOT) can be said to be an important part of the new generation of information technology
How to design a motion detection device in sports based on deep learning of Internet of things has become a Computational Intelligence and Neuroscience difficult problem. e physical fitness test is to enable one to grasp and understand their physical condition and have a full understanding of one’s own body to achieve the goal of health
(2) Using the volume accumulation algorithm, some motion detection devices are designed in sports based on the in-depth learning of the Internet of things to promote the popularization of the importance of sports
Summary
In today’s society, various communication means and technologies are constantly updated and developed. How to design a motion detection device in sports based on deep learning of Internet of things has become a Computational Intelligence and Neuroscience difficult problem. Erefore, Internet technology provides a way to integrate and share public communication media With this knowledge, in this paper, we propose a combined system based on the Internet of things for smart city development and urban planning using big data analysis. E results of various scholars show that sports are becoming increasingly important in today’s social development, but people do not pay enough attention to sports, so how to design action detection devices in sports based on in-depth learning of the Internet of things has become a difficult problem. (2) Using the volume accumulation algorithm, some motion detection devices are designed in sports based on the in-depth learning of the Internet of things to promote the popularization of the importance of sports. There is a significant correlation between sports motivation, sports atmosphere, and sports persistence. e outdoor sports motivation of adolescents can directly affect the persistence of sports and can indirectly affect the persistence of sports through the sports atmosphere. e sports atmosphere plays a significant mediating role between sports motivation and sports persistence
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