Intelligent system simulation and data accuracy of physical fitness training for sports majors based on real-time status update of wearable Internet of Things

Abstract

Abstract With the development of modern science and technology, sports training has begun to develop in the direction of new ideas, new technologies and new equipment. Wearable devices with wireless data transmission and real-time feedback functions are more and more widely used in sports training, providing a simpler and more scientific way to explore the biological significance of sports training. In this paper, the wearable Internet of Things is applied to the intelligent system simulation of physical training for sports majors. With the support of the Internet of Things technology, wearable devices can quickly capture the movement data of students' physical training, and quickly transmit these information to the intelligent system of physical training for sports majors, so that the system can be updated in real time. Wearable devices are high-tech products developed in the context of big data. The use of wearable devices to achieve sports training and data collection is only an external manifestation of sports scientific monitoring. The collection and statistics of the original sports data obtained through more scientific information processing technology is the focus of sports scientific monitoring. At present, the use of wearable devices in sports training also has some measurement errors, which affect the validity and credibility of data. Data processing is not systematic and perfect, and the compatibility and connectivity are low. Statistical analysis is a common way to analyze sports training data at home and abroad. This paper discusses the physical training data based on the status update of the wearable object network, and uses the optimized data processing method to improve the accuracy of the data.