Abstract
In the process of physical fitness training, it is an important subject of scientific physical fitness training to adjust and control the physical load intensity in real-time, accurately and effectively according to the physiological load inside the human body so as to make it consistent with the predetermined goal of the training plan. Aiming at the current demand of smartphone popularization and athlete training monitoring, this paper designs an intelligent monitoring system of physical fitness based on the Internet of Things technology. By selecting such factors as vertical jump, fast leg raising, sitting forward, height, chest circumference, percentage of body constitution, YOYO intermittent endurance running and so on, using RFID technology to mark different athletes, and after using the particle swarm optimization method of BP network to establish the evaluation model of the athletes’ physical condition. Through simulation, the physical condition of athletes is accurately predicted, which provides a new scientific and technological means to improve the efficiency of physical training and make physical training scientific.
Highlights
With the development of national economy and the improvement of people’s living standards, people pay more and more attention to their healthy development, and the wave of national fitness is gradually flourishing [1]
PHYSICAL INTELLIGENCE EVALUATION BASED ON IMPROVED BP NEURAL NETWORK According to the information obtained by the physical fitness intelligent monitoring system, the intelligent algorithm is used to carry out high-efficiency and high-precision evaluation and prediction
Aiming at the current demand of smartphone popularization and athlete training monitoring, this paper designs an intelligent monitoring system of physical fitness based on The Internet of Things technology
Summary
With the development of national economy and the improvement of people’s living standards, people pay more and more attention to their healthy development, and the wave of national fitness is gradually flourishing [1]. With the development of computer technology and the Internet of Things technology, through the establishment of appropriate database, data storage, extraction, association and analysis can provide accurate information data for athletes’training programs to assist coaches in management. Traditional physical fitness testing methods have many problems, such as the huge amount of data, complex manual management and so on It can provide important conditions for physical fitness monitoring by building the database and portable equipment. By building an intelligent physical fitness monitoring system on the Internet of Things, athletes’ physical fitness testing information is stored and classified, and the BP network method is used to analyze the correlation of data. Which can provide users and coaches with a high matching training program, make athletes ‘physical fitness test develop towards a scientific and regular direction, give full play to athletes’ competitive potential and improve athletes ‘physical fitness
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
