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首页> 外文会议>International Conference on Advanced Nondestructive Evaluation >The Analysis of Slice-induced Factors in Golf Swing using a 3D Motion Capture System
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The Analysis of Slice-induced Factors in Golf Swing using a 3D Motion Capture System

机译：使用3D运动捕获系统分析高尔夫挥杆中的切片诱导因子

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In golf, it is crucial that unintended shots, such as slices, be minimized. However, it has proven rather difficult to improve golf performance via investigations of the causes of slicing, as this particular phenomenon is induced by a cooperative effect by each segment of the body, rather than by a single postural anomaly. Thus, the objective of this study was to isolate and characterize the factors causing slicing, and to present possibilities for the improvement of golf performance via the minimization of the number of slices executed, using a three dimensional motion capture system, combined with multiple regression analysis, artificial neural network, and fuzzy logic techniques. This study obtained some interesting results, such as the following: (1) We isolated 9 slice-inducing factors, using a stepwise method. (2) Our artificial neural network (ANN) accurately separated 'slice' from 'normal' shots (classification rate: 100 percent). (3)We could present the possibility of reducing the number of slice using the fuzzy logic. We expect that our data might be eventually used to improve golf performance.
机译：在高尔夫中，至关重要的是，无意识的镜头如切片，最小化。然而，它已经证明，通过调查切片的原因来提高高尔夫表现，因为这种特殊的现象是由身体各个部分的协同效应，而不是单一的姿势异常诱导。因此，本研究的目的是分离和表征导致切片的因素，并通过最小化由执行的三维运动捕获系统进行的切片数量的最小化改善高尔夫性能的可能性，结合多元回归分析，人工神经网络和模糊逻辑技术。本研究获得了一些有趣的结果，例如以下：（1）我们使用逐步方法隔离9个切片诱导因子。 （2）我们的人工神经网络（ANN）将“切片”从“正常”射击中精确分开（分类率：100％）。 （3）我们可以使用模糊逻辑呈现减少切片数量的可能性。我们预计我们的数据最终可能会用于提高高尔夫表现。

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