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

机译:基于块增长模型的跳高性能预测与动态模型

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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..
机译:为了提高跳高运动员的成绩,本研究首先大致基于跳高,起跳和横杆三阶段模型,启动了一个跳高模型。在起飞阶段,要加快运动员的上升速度和力量???跳跃的力量是增强性能的两个主要方向。而提高横杆阶段的起飞速度在提高成绩中起着重要作用。然后根据奥运会男子和女子跳高冠军成绩数据,建立男子和女子跳高成绩的块增长预测模型并进行预测。第30届奥运会男子跳远冠军和女子跳远冠军的得分分别为2.3845和2.0707m。预测结果与第30届奥运会男子和女子跳高的结果高度一致,分别为2.38和2.05m,表明该模型适合于跳高表现的预测。为跳高教练和运动员的训练工作提供参考。

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