Abstract

Mechanics factor model of sprint scores improvement based on the correlation degree analysis

Author(s): ShuxianYi

The paper carries through force analysis to the athlete during the entire sprint process, and the whole process is divided into four phases. Studying how to match the step frequency and stride length in 100 meters is important factor in restricting the achievements; according to the appropriate step length and stride frequency it derives a computational model. For each 100m athlete one can get the best step length and stride frequency in the 100m way running according to the formula to achieve the best results. It uses correlation degree analysis method of the gray control systems theory to conduct quantitative analysis and research on improvement factors of the sprint performance, explores the interrelation between the sprint performances with various factors, finds out its internal relations, scientific laws and methods to improve sprinter results, and has guiding significance on the future teaching, science and training.


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