2017
DOI: 10.1515/hukin-2017-0009
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Split-Step Timing of Professional and Junior Tennis Players

Abstract: The purpose of the study was to determine the timing of a split-step in three categories of tennis players in four groups of strokes. Subjects were divided into three groups: male and female junior, and male professional tennis players. During two tournaments, all matches were recorded with two fixed video cameras. For every stroke, the timing of the split-step between the opponent’s impact point when hitting the ball and the player’s split-step was measured. A two-way analysis of variance (ANOVA) was used to … Show more

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Cited by 16 publications
(10 citation statements)
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“…e basic purpose of association analysis is to mine hidden association nets or strong association rules between data. e methods of association analysis are abundant, and the common algorithms are smart algorithms and growth algorithms [32]. Tennis singles energy consumption model structure is shown in Figure 2.…”
Section: E Role Of Data Mining Technologymentioning
confidence: 99%
“…e basic purpose of association analysis is to mine hidden association nets or strong association rules between data. e methods of association analysis are abundant, and the common algorithms are smart algorithms and growth algorithms [32]. Tennis singles energy consumption model structure is shown in Figure 2.…”
Section: E Role Of Data Mining Technologymentioning
confidence: 99%
“…The returner’s own reactions, movement and returning strategy and execution are considered all critical factors in this regard. Empirical work has demonstrated, that the reactions of returners are faster during the first serve compared to the second serve ( Filipcic et al, 2017 ), which is clearly in part due to the temporal stress of the first serve relative to the second serve. In particular, it has been demonstrated that split step reaction time and movement speed are critical to accurately responding to a fast first serve.…”
Section: Discussionmentioning
confidence: 99%
“…The complexity and dynamics of tennis determine that player’s game strategy and technical-tactical performance are critically influenced by a range of contextual constraints ( Filipcic et al, 2017 ; Ojala and Häkkinen, 2013 ; Pereira et al, 2018 ). The available research already evidenced that those constraints might originated from the differences of the match location ( O'Donoghue and Ingram, 2001 ), players’ qualities ( Cui et al, 2017 , 2019 ), weather conditions ( Morante and Brotherhood, 2007 ), score-line ( O'Donoghue, 2012 ), spatial-temporal relationships among players ( Carvalho et al, 2013 ; Martinez-Gallego et al, 2013 ), physiological fatigue ( Gomes et al, 2011 ; Reid and Duffield, 2014 ), noise of the audience ( Dube and Tatz, 1991 ) and even the line-calling bias ( Carboch et al, 2016 ).…”
Section: Introductionmentioning
confidence: 99%