Design of a Monitoring and Feedback System for Athlete Training Process based on Mobile Intelligent Devices

Abstract

In order to solve the problem of high probability of information loss in traditional sports training information management systems, the authors propose the design of an athlete training process monitoring and feedback system based on mobile intelligent devices. The system improves the design of sports training information mobile storage servers, mobile information collection sub sites, and intelligent information processors in terms of hardware, and processes users' sports training information in real-time. In terms of software design, classify the sports training information of different users, calculate the similarity of sports training information of different users, and complete intelligent information management. The experimental results show that for traditional information management systems, the average packet loss rate for tablet device users is 0.0534%, and the average packet loss rate for mobile device users is 0.0732%. The data on packet loss rate is relatively high. For the intelligent management system of sports training information based on mobile devices, the average packet loss rate for tablet users is 0.0144%, and the average packet loss rate for mobile device users is 0.0300%. By comparison, it can be seen that the packet loss rate of information intelligent management systems based on mobile devices is lower. The information processing packet loss rate of this system is significantly reduced, which is better than traditional information management systems.