Design And Implementation Of Youth Body Composition Prediction And Nutrition Movement Program Recommendation System

Maintaining a certain proportion of body composition is one of the important indicators to measure a person's health.When the disease occurs,the content of related body components in the human body tends to change earlier than the clinical symptoms,and the health status of the human body can be judged by quantitative analysis of the body composition.Therefore,based on the measured body composition data,how to accurately and quickly predict the body composition of the future will be necessary to help young people predict their health and guide young people to improve their diet and exercise programs.However,how to predict body composition is a problem,and there are problems that are inaccurate and difficult to predict.The body composition prediction for adolescents is not accurate enough and the quality of nutrition exercise program is not high.This paper proposes a method based on particle swarm optimization to predict the body composition of adolescents,and proposes a personalized nutrition exercise program based on body composition prediction results.Adolescent body composition prediction and nutrition exercise program recommendation system.The main research work is as follows:1.In view of the existing body composition prediction,only the current body composition is measured,and the body composition of the future is not predicted.A method based on particle swarm optimization is proposed to predict the body composition of adolescents in the future.The prediction is based on the Mahalanobis distance of the correlation covariance as the standard for measuring the dissimilarity distance of the human body.The particle swarm algorithm is used to calculate the weight,and the body composition data with the smallest disparity distance is found as the reference value to predict the body composition..Simulation prediction and case analysis show that the body composition prediction result of this method is close to the actual tracking measurement data and has certain accuracy.2.The existing sports nutrition program is only the current sports nutrition program corresponding to the body composition.There is no recommendation for the sports nutrition program for the body composition in the future,and a personalized sports nutrition recommendation program is proposed to provide the youth with a certain period of time.The exercise and nutrition program establishes contact rules by analyzing the attributes of body composition,exercise program,and nutrition program,and builds a rule base to recommend sports nutrition programs based on the individual attributes of adolescents.3.Designed and implemented a system for recommending adolescent body composition and nutrition exercise programs.The system is developed by using the particle swarm optimization algorithm based on the particle swarm optimization algorithm and the personalized sports nutrition recommendation scheme,including the client and the background management system.The client includes the PC end and the mobile end,and the user can view the test data of the body composition and Predict the results and recommend personalized nutrition campaigns.The back-end management system includes functions such as school management,student management,body composition management,sports management,nutrition management,exercise program management,and nutrition program management.The development and implementation of the youth body composition prediction and nutrition exercise program recommendation system has been tested in a company.After testing and using more than 30,000 primary and middle school students in a city,the overall effect is good and has certain practicability.