Design of an intelligent sports health management system based on perceptron model

Abstract

Health management is the whole process of comprehensively monitoring, analyzing, evaluating, providing health consultation and guidance, and intervening in health risk factors of an individual or a group. In this paper, based on multilayer perceptron neural network modeling, a three-layer neural network is selected and relevant parameters of the neural network are set for modeling to build an intelligent sports health management system. The system firstly enriches the channels for collecting user information in information management and makes the basis for health assessment more reliable. Secondly, in the aspect of health assessment, the health status is redefined. Finally, in terms of health intervention, it uses two ways of exercise prescription and option recommendation to comprehensively solve users' health problems in physical, physiological and psychological aspects. Through the system analysis, we found that the main factors affecting college students to choose sports programs are lack of management knowledge, lack of venue equipment, unorganized, high study pressure, and their own poor physical quality, all of which have an influence degree of more than 60%. The satisfaction of teachers, students and parents to the system is 80.74%, 74.95% and 93.41% respectively. Therefore, the system designed in this paper is practical and can effectively use the limited resources to make students achieve the best health effect.