Effects of Fatigue Induction on Ground Reaction Force Components, Postural Stability, and Vertical Jump Performance in Taekwondo Athletes

Hyun, Seung Hyun; Kim, Young Pyo; Ryew, Che Cheong

doi:10.5103/kjsb.2016.26.2.143

Korean Journal of Sport Biomechanics

2016

DOI: 10.5103/kjsb.2016.26.2.143

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Effects of Fatigue Induction on Ground Reaction Force Components, Postural Stability, and Vertical Jump Performance in Taekwondo Athletes

Seung Hyun Hyun¹,

Young Pyo Kim²,

Che Cheong Ryew³

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“…effects of the major upper extremity muscles on the performance outcomes in air pistol shooting (Kim, 2016), using cameras to analyze kinematic characteristics of upper and lower extremity joints in rowing athletes , and using a force plate to study stability in Taekwondo athletes (Hyun, Kim & Ryew, 2016).…”

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confidence: 99%

Relationship between Aiming Patterns and Scores in Archery Shooting

Quan¹,

Lee²

2016

Korean Journal of Sport Biomechanics

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INTRODUCTIONAdvances in recent technology have enabled miniaturization, low power consumption, and wireless communication, which have facilitated the acquisition of basic data (electromyography, movement, etc.) especially for motion analysis in the field of sports science.A study by Stuart and Atha (1990) Objective: The aim of this study was to investigate the relationship between aiming patterns and scores in archery shooting.,Method: Four (N = 4) elementary-level archers from middle school participated in this study. Aiming pattern was defined by averaged acceleration data measured from accelerometers attached on the body during the aiming phase in archery shooting. Stepwise multiple regression analysis was used to test whether a model incorporating aiming patterns from all nine accelerometers could predict the scores. In order to extract period of interest (POI) data from raw data, a Dynamic Time Warping (DTW)-based extraction method was presented.Results: Regression models for all four subjects are conducted with different significance levels and variables. The significance levels of the regression models are 0.12%, 1.61%, 0.55%, and 0.4% respectively; the R 2 of the regression models is 64.04%, 27.93%, 72.02%, and 45.62% respectively; and the maximum significance levels of parameters in the regression models are 1.26%, 4.58%, 5.1%, and 4.98% respectively. Conclusion:Our results indicated that the relationship between aiming patterns and scores was described by a regression model. Analysis of the significance levels, variables, and parameters of the regression model showed that our approach -regression analysis with DTW -is an effective way to raise scores in archery shooting.

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confidence: 99%

Relationship between Aiming Patterns and Scores in Archery Shooting

Quan¹,

Lee²

2016

Korean Journal of Sport Biomechanics

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Effects of Fatigue Induction on Ground Reaction Force Components, Postural Stability, and Vertical Jump Performance in Taekwondo Athletes

Cited by 1 publication

References 42 publications

Relationship between Aiming Patterns and Scores in Archery Shooting

Relationship between Aiming Patterns and Scores in Archery Shooting

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