Analysis of Sports Training Injury Measurement with Grey Markov Model (GMM)

The sports training injury measurement is of great importance to ensure the reliable operation of sports training. However, the current model of injury measurement uses only one measurement of injury time or spatial correlation. Considering the shortcomings of the existing anomaly measurement and analysis and the spatial-temporal correlation of grey Markov, this paper proposes the sports training damage measurement and analysis based on the grey Markov model (GMM). The model has given full play to the ability of dimensionality reduction of BSA and grey Markov modeling ability of wavelet transform to build the measurement analysis model. In the analysis of residual measurement injury, it is realized mainly through the EWMA and Shewart control chart. By analyzing the data of sports training and the simulation results obtained, it can be concluded that, compared to BSA algorithm and KLE algorithm, the GMM algorithm has more prominent advantages and better measurement performance.