A Systematic Study on the Application of Computer Big Data Analysis to Improve the Accuracy of Referee Decision in Sports Events

Abstract

Due to the complex working environment, long communication distance and high reliability requirements of referees in weightlifting events, this project uses TI's MSP430F5299 as its core processing chip. RS485 for long-distance communication. This system realizes a variety of judgments, arbitration supervision, system function setting, LED large screen display, PC data real-time transmission and other functions. Then, Fourier pyramid filtering method is used to extract human skeleton information, and SVM is used to classify human behavior to complete the construction of human behavior recognition model. The findings from the study indicate that the architectural approach detailed within this manuscript yields a higher degree of precision in identification, thereby offering judges an enhanced instrument for assessment.