The Construction of an Intelligent Service System for Students’ Physique and Health

Abstract

The development of young people’s physique and health is the core element of national manpower reserves, which is related to the rise and fall of national power in the future. In recent years, a large-scale physical fitness test for students has been carried out by the state every year; thus, abundant data have been accumulated. However, for a long time, the collection, integration, analysis and utilization of these data resources have been seriously insufficient; thus, it is difficult to meet the needs of student health services. Wireless devices are emerging rapidly due to their sensing, computing and communication capabilities and are gradually being applied to physique and health research. This is expected to improve the traditional service model. Personalized physique and health information of students can be obtained via wearable devices. However, to effectively analyze and utilize these data and improve the effectiveness of corresponding health management decisions, intelligent analysis methods are needed. Machine learning, as the core of artificial intelligence technology, can learn from big data and mine the potential value of data in order to predict events and propose countermeasures. This paper aims to collect and transmit various kinds of physique and health data of students through wireless communication technology and to realize intelligent analysis and management of these data based on a machine learning algorithm.