Abstract
With the deepening of the concept of all-round development, the training of children's motor skills is becoming more and more popular. Children's motor skills training management system is based on the product of children's motor skills training combined with modern technology. This article aims to design a management system for children's motor skills training based on human motion recognition methods. This article proposes a human motion recognition algorithm based on depth information. The traditional human motion recognition algorithm is more biased towards children's motor skills. For the design of the system, this article also pays great attention to children's experience. After analyzing the performance of the system in this study, it is found that the system is not ideal for multitarget human motion recognition. Therefore, this article optimizes the recognition. After the optimization, the recognition rate of the head, upper body, and lower body of the multiobjective human motion recognition is more than 80%.
Highlights
Human body movement is to express a certain will of a person, which includes the movement process or static posture of various parts of the human body, such as hands, feet, head, and body
By finding a way out of information management in time can the efficiency of training management be improved. erefore, at this stage, it is very necessary to propose a design study of children’s motor skills training management system based on the depth information of the human body movement recognition algorithm
Most devices on the market today use sinusoidal infrared signals, and the distance information is calculated by a standard CMOS or CCD detector. e mainstream manufacturers of ToF cameras include PMD and MESA [18]. e advantage of the ToF camera is its high efficiency, and its depth information can cover every pixel [19]. e disadvantage is that it is more expensive and has a lower resolution, so fewer researchers or institutions use this type of device
Summary
Human body movement is to express a certain will of a person, which includes the movement process or static posture of various parts of the human body, such as hands, feet, head, and body. Erefore, at this stage, it is very necessary to propose a design study of children’s motor skills training management system based on the depth information of the human body movement recognition algorithm. Is is of great significance to the design of the subsequent children’s motor skills training management system. Is article has several innovations in the design of the system: (1) is article focuses on the analysis of the human body motion recognition algorithm based on depth information. It can perform sports analysis for children’s motor skills and can be extended to other aspects in the future. (2) e design of children’s motor skills training management system is divided into three modules: motion detection, motion analysis, and visualization interface. It can perform sports analysis for children’s motor skills and can be extended to other aspects in the future. (2) e design of children’s motor skills training management system is divided into three modules: motion detection, motion analysis, and visualization interface. e system of this article is more pure, and the purpose is to maximize the service of children’s sports training
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