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- W2079863908 abstract "Nowadays, in many sports discrete data describing actions of athletes are collected in order to analyze performance. Performance analysis using these data usually is based on creating categories by which the quality of the performance of athletes in a certain sport can be described. The definitions of these categories often only take a few circumstances or just the most important one into account which influence the performance of an athlete. By calculating continuous topographies of representative performances of the field, respectively all participating athletes, this method of classifying performances can be broken up and performances are put in context of the place where they occurred, in context of the internal and external circumstances which influence the athlete's performance, with respect to the performance of other athletes in that area. Based on the collected data such topographies are calculated using an exponential smoothing algorithm and by means of spline interpolation. The resulting three dimensional and two dimensional visualizations of such a topography show that artificial, discrete categories, which are usually shaped like geometrical figures, often circles or rectangles, are not appropriate for performance analysis because the quality of performance even within these categories is mostly varying too much. Furthermore, the results reveal that topographies of representative performance of the field are usually not shaped like geometric figures, but rather are more chaotically shaped depending on the field's real performance. Thus, continuous topographies of performance provide the opportunity to analyze performance with respect to a real representative performance in any area." @default.
- W2079863908 created "2016-06-24" @default.
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- W2079863908 date "2012-01-01" @default.
- W2079863908 modified "2023-09-23" @default.
- W2079863908 title "Creating a Continuous Topography of Performance From Discrete Sports Actions" @default.
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- W2079863908 doi "https://doi.org/10.3182/20120215-3-at-3016.00144" @default.
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