Biomechanics of the run-up and take-off of track and field athletes based on linear regression and factor analysis

The current biomechanical analysis of track and field athletes during run-up and take-off suffers from large errors and poor accuracy in analyzing the relationship between biomechanical variables. To address this problem, this study used the factor analysis model to optimize the linear regression model and analyzed the biomechanics of track and field athletes at different levels based on the optimized model. To verify the new performance of the optimized model, the study compared the model with other models in a comparative test. The outcomes indicated that the prediction accuracy of the model reached 97.6%, and the model took only 1.2s to predict. The model’s data detection completeness rate reached 100%, and all the performances were better than other models. The model was then used to analyze the biomechanics during run-up and take-off of athletes of different levels. The analysis results showed that during the run-up and take-off process, the horizontal velocity of the athlete’s center of mass first decreased, then increased, and finally decreased again. The maximum horizontal velocity of the national first-class athlete’s center of mass was 8.62 m/s. Moreover, the relative center of mass height of athletes gradually increased during the run-up and take-off process. Furthermore, the relative center of mass height of national level athletes reached up to 0.72%, while the reaction force of national level athletes was slightly lower than that of other athletes. It is clear from the aforementioned findings that the suggested optimization model is capable of precisely analyzing track and field players’ biomechanics during run-up and takeoff.