Development And Application Of Children's Athletic Ability Testing System

Athletic ability is the basic ability of human beings to complete their actions in daily life.The development of athletic ability is a complex process that spans the entire life cycle.It is the result of human beings adapting to and interacting with the environment and society.The improvement of its development level helps to promote the development of children's language,intelligence and emotions.Preschool is a period of rapid and vigorous growth and development of young children,and is also a critical period for the formation and development of a variety of basic athletic ability.Numerous studies have shown that training young children in a specific way can promote the development of neuromuscular and improve their athletic ability.Based on this,how to evaluate and monitor the athletic ability level of young children is particularly important.Commonly used methods for detecting athletic ability include: scale assessment method,professional physician assessment method,instrumentation measurement method and so on.But they all have certain limitations and can't meet the actual needs.In response to the above analysis,this topic developed a child athletic ability detection system using human-computer interaction technology.The system is divided into two parts: the wearable athletic ability detecting device and the upper computer platform.The detecting device can acquire the real-time acceleration and angular velocity data of the child during the movement by means of the motion sensor chip,and obtain the angle data in the process by Kalman filter preprocessing,and transmit the filtered data to the Android host through the Bluetooth chip.The upper computer platform performs subsequent processing.The detection device has the advantages of small size,portability,low power consumption,long communication distance,and the like,and is convenient for popularization and use.The upper computer platform receives the data uploaded by the detecting device,analyzes the motion data index algorithm of the motion data,presents the motion data to the test object in the form of a curve in real time,and gives the final detection result.The detection system will upload all the data to the cloud server for storage for further research and further analysis.This project applies the developed system to the actual detection of the athletic ability of a kindergarten child.It verifies the effectiveness and practicability of the system,and can effectively detect the basic exercise capacity of the kindergarten children.The important tools and effective storage of data make it possible for kindergartens to monitor children's athletic ability for a long time.It makes up for the shortcomings of the existing methods in the detection of children's athletic ability,and provides reference for future research in this field.By analyzing the sports indicators of children under different ages,genders and BMI indexes,it was found that children's exercise ability was significantly correlated with age,and the correlation between gender and BMI index was not significant.In addition,the parameters of the sports ability indicators of the children in the park were analyzed,and the actual situation of the children's exercise ability in the park was obtained,and the targeted exercise guidance opinions were given.