Abstract

Prediction and dynamic model of high jump performance based on block growth model

Author(s): Junqing Chen

In order to improve the achievement of high jumpers, this study first approximately launches a jump height model based on the three stage model as the run-up, take-off and crossing bar. In the take-off stage, to accelerate the run-up velocity and strength athlete’ the power to jump are two main directions to enhance the performance. And to increase the take-off velocity in the crossing bar stage plays an important role in enhancing the results. Then based on the men’s and women’s high jump champion achievement data in the Olympic Games, this study establishes the block growth prediction model of men’s and women’s high jump performance and predicts that the scores of men’s and women’s high jump champion of the 30th Olympic Games are accordingly 2.3845mand 2.0707m. The predicted results are highly in coincide with the existing 30th Olympic Games results of men’s and women’s high jump, which are 2.38mand 2.05mrespectively, indicating that thismodel is suitable for the prediction of high jump performance and can provide a reference for the training work of high jump coaches and athletes..


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