Noth Niklas, Köthe Thomas
Institute for Applied Training Science; Leipzig; Germany.
J Hum Kinet. 2021 Oct 31;80:29-37. doi: 10.2478/hukin-2021-0097. eCollection 2021 Oct.
In platform diving the take-off phase is of outstanding importance in order to achieve both a high level of performing quality and a high degree of difficulty. The diver has to produce the right forces and direction of the center of mass (COM) in order to attain the required angular momentum and dive height. To support the development of an optimum take-off technique, the Institute for Applied Training Science designed a dryland measuring and feedback system. Using the example of the dive back 1¼ somersault tucked in preparation for the dive back 3½ somersault tucked (207 C) from the 10-m-platform, kinematic and kinetic reference values for key positions were determined. Therefore, we developed a mathematical model using a multi-step examination plan with the following parts: (1) variables defined using nonparametric correlation analyses r of the motion parameters, (2) statistical modelling to predict values of the parameters, (3) stochastic modelling. The model is based on a selection of 18 dives from 10 different elite divers of the German Swimming Federation (DSV). The approach presented provides helpful insights into the mechanisms of an optimal take-off, enables a target-performance comparison with objective motion parameters and therefore, enables individualized feedback to guide the training process more efficiently.
在高台跳水运动中,起跳阶段对于达到高水平的动作质量和高难度至关重要。跳水运动员必须产生正确的力以及质心(COM)方向,以获得所需的角动量和跳水高度。为了支持最佳起跳技术的发展,应用训练科学研究所设计了一种陆上测量与反馈系统。以从10米跳台进行向后1¼翻腾抱膝准备向后3½翻腾抱膝(207C)的跳水为例,确定了关键位置的运动学和动力学参考值。因此,我们使用包含以下部分的多步骤检查计划开发了一个数学模型:(1)使用运动参数的非参数相关分析r定义变量,(2)预测参数值的统计建模,(3)随机建模。该模型基于从德国游泳联合会(DSV)的10名不同优秀跳水运动员中选取的18次跳水。所提出的方法为最佳起跳机制提供了有益的见解,能够与客观运动参数进行目标表现比较,因此能够提供个性化反馈以更有效地指导训练过程。