Design of Real-Time Monitoring of Infant Physical Condition in Sports Training Based on Embedded Theory

Abstract

Children at this age are a critical period of physical and mental development in a person’s life. Correctly understanding and grasping the characteristics and laws of physical and mental development of children at this stage and developing targeted sports and training are conducive to the physical development and growth of children. The first is the concrete image of the cognitive activity; the second is the unintentional nature of mental activities and behaviors; the third is the initial tendency of personality in order to monitor the physical condition of children in sports training in real time and to improve the management and data analysis capabilities of the physical condition of children in sports training; a set of real-time monitoring system for the physical condition of children in sports training is designed to help develop and improve the intelligence of children’s sports training management. This article mainly introduces the design of a real-time monitoring system for children’s physical condition in sports training based on an embedded system and is aimed at providing some references for the real-time monitoring of the physical condition of young children in sports training. This paper proposes a design method of a real-time monitoring system for children’s physical fitness in sports training based on embedded systems, utilizing the professionalism and real time and tailored the ability, reliability, and low power consumption of the embedded system to design a real-time monitoring system for the physical condition of young children in sports training; reuse includes the document retrieval, questionnaire survey, mathematical statistics, logical analysis, and real-time monitoring related algorithms, such as a real-time monitoring system based on the Internet of Things system, which is used for children’s physical fitness in sports training. Real-time monitoring system designed research experiment. The results show that the embedded real-time monitoring system designed in this paper has an average accuracy rate of 93.33% for children’s physical conditions, and the accuracy is strong, and it can be applied to the monitoring of children’s physical condition; it can promote the good development of children’s body and physique and improve the intelligent management ability of children’s sports training.