Sports Personnel Health Monitoring Application Based on Biometric Data Collection Model

Abstract

In order to improve the health monitoring effect of sports personnel, this study combines the biometric data acquisition model to construct the sports personnel health monitoring application program. Moreover, this study uses the iterative conjugate gradient method ICGM to prove the correctness of the biometric data acquisition algorithm from the changes of the residual and the objective function in the iterative process. Finally, the optimized cosine similarity is substituted into the SBGI model, and better results are obtained than using the weighted cosine similarity as input. The research shows that the sports personnel health monitoring application based on the biometric data collection model proposed in this study has a good health monitoring effect, and has an important supporting role in improving the fitness effect of group sports.