RETRACTED: Application of college students' fitness equipment and health management using Internet of Things (Retracted Article)

As the successors of socialism, college students are concerned by all quarters of society, and their physical health also attracts people's attention in recent years. DL (Deep Learning) network and edge computing based on DL are used to design fitness equipment with IoT (Internet of Things) technology. The purpose of the study is to promote the health manage of college students. An online scheduling algorithm is designed to increase the functions of edge devices with insufficient capacity and bandwidth. Compared with the first-in-first-out algorithm and low-bandwidth-first algorithm, DL can reduce the number of data at the input terminal and transmit less intermediate data to the higher layer. The calculation complexity increases with the increase of the number of IoT fitness equipment, edge devices, and the layers of the DL network, delaying data processing. Therefore, the application of IoT in college students' fitness and health management is enhanced and the personalized service and students' physical fitness are improved by adding tasks in edge devices in response to the inadequate capacity and bandwidth of the online scheduling algorithm,.