Research on regression model-based swimmer body shape features affect performance

ABSTRACT:

Excellent swimmers’ competition performance is comprehensive reflection by multiple factors effects, body shape features as one of important factors to predict human body maximum movement potential, is an important guarantee for swimmers getting excellent performance. Exploring excellent swimmers body shape special features not only provides scientific guidance for swimmers high level selection, but also plays remote orientation roles in swimmers’ basic selection, it can also makes certain references for swimmers’ special physical training. This paper first through consulting documents, finds out swimming performance correlated each body shape indicator 4 large types that accounts for larger weight, by mathematical statistics method, with China swimmers four body shapes and performance through year 2005, 2009 and 2013 investigation as values basis, use MATLAB fitting, it respectively gets four body shape and swimming performance relationships, then use average method to solve weight algorithm, finally it gets four body shapes and swimming performance whole relations. At last, use swimmer Sun Yang swimming performance and his four body shapes data to make verifying, achieved results basically conform to fact, finally gets the conclusion that the model has feasibility

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