Abstract
With the development of society and the improvement of people’s living standards, people pay more and more attention to the state of the body, choose to go to the gym to rely on special equipment to achieve the purpose of strengthening the body more and more people. In order to meet the needs of fitness clubs for customers’ comprehensive physical status assessment, this paper will design a system for fitness club customers’ physical status detection based on the Internet of things technology based on the Internet of things technology. This system will meet the needs of fitness club customers for body composition detection, body fat detection, obesity evaluation and other detection, and obtain continuous, long-term and real physical status of the customer index, with strong practicality. The design of the system is composed of data acquisition terminal, Web server and data base station. The data base station and the Web server communicate and transmit by wired connection. In the application terminal, the management staff of the health club can log in the management account in the Web interactive interface to view the test data of all customers, and can realize the analysis and statistics of a large number of customer data.
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Yi, Y. (2020). Fitness Club Customer Body Condition Detection System Based on Internet of Things. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_88
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DOI: https://doi.org/10.1007/978-3-030-43306-2_88
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