[논문]3-Dimensional Performance Optimization Model of Snatch Weightlifting

Moon, Young-Jin; Darren, Stefanyshyn

doi:10.5103/kjsb.2015.25.2.157

3-Dimensional Performance Optimization Model of Snatch Weightlifting 원문보기

한국운동역학회지 = Korean journal of sport biomechanics, v.25 no.2, 2015년, pp.157 - 165

Moon, Young-Jin (Korea Institute of Sport Science) , Darren, Stefanyshyn (Department of Kinesiology, University of Calgary)

Abstract ▼ AI-Helper

Object : The goals of this research were to make Performance Enhanced Model(PE) taken the largest performance index (PI) through artificial variation of principle components calculated by principle component analysis for trial data, and to verify the effect through comparing kinematic factors between trial data (Raw) and PE. Method : Ten subjects (5 men, 5 women) were recruited and 80% of their maximal record was considered. The PI is a regression equation. In order to develop PE, we extracted Principle components from trial position data (by Principle Components Analysis (PCA)). Before PCA, we made 17 position data to 3 row matrix according to components. We calculated 3 eigen value (principle components) through PCA. And except Y (medial-lateral direction) component (because motion of Y component is small), principle components of X (anterior-posterior direction) and Z (vertical direction) components were changed as following. Changed principle components = principle components + principle components ${\times}$ k. After changing the each principle component, we reconstructed position data using the changed principle components and calculated performance index (PI). A Paired t-test was used to compare Raw data and Performance Enhanced Model data. The level of statistical significance was set at $p{\leq}0.05$. Result : The PI was significantly increased about 12.9kg at PE ($101.92{\pm}6.25$) when compared to the Raw data ($91.29{\pm}7.10$). It means that performance can be increased by optimizing 3D positions. The difference of kinematic factors as follows : the movement distance of the bar from start to lock out was significantly larger (about 1cm) for PE, the width of anterior-posterior bar position in full phase was significantly wider (about 1.3cm) for PE and the horizontal displacement toward the weightlifter after beginning of descent from maximal height was significantly greater (about 0.4cm) for PE. Additionally, the minimum knee angle in the 2-pull phase was significantly smaller (approximately 2.7cm) for the PE compared to that of the Raw. PE was decided at proximal position from the Raw (origin point (0,0)) of PC variation). Conclusion : PI was decided at proximal position from the Raw (origin point (0,0)) of PC variation). This means that Performance Enhanced Model was decided by similar motion to the Raw without a great change. Therefore, weightlifters could be accept Performance Enhanced Model easily, comfortably and without large stress. The Performance Enhance Model can provide training direction for athletes to improve their weightlifting records.

주제어

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문제 정의

(2012) reported that there are severe differences in barbell trajectories and kinematic or kinetic characteristics within lifters with similar experience or skill levels. Thus we need to be cautious and should consider if every highly skilled athlete utilizes optimal technique before using this information to make recommendations. To address this issue we need to determine what optimal technique is, which is difficult, but if identified, that would make the training goals clear and likely result in rapid performance enhancement.

제안 방법

After changing the each principle component, we reconstructed position data using the changed principle components and calculated A1, A2, A3, A4, A5, PI with satisfying constraint condition repeatedly. Constraint condition is satisfied if the difference between lengths of body segments for Raw data and those calculated from reconstructed position data was smaller than half of variation term of body segments length for Raw position data.
The goals of this research were to make PE taken the largest performance index (PI) (Moon, 2002) through artificial variation of principle components calculated by principle component analysis for trial data and to verify the effect through comparing kinematic factors between trial data (Raw) and PE.
The goals of this research were to make Performance Enhanced Model(PE) taken the largest performance index (PI) through artificial variation of principle components calculated by principle component analysis for trial data. And to verify the effect through comparing kinematic factors between trial data (Raw) and PE.
This was especially true for the variation terms of the forearm lengths because of the increased motion of the shoulder joints. Therefore constraint conditions were chosen in order to develop the model.

대상 데이터

And to verify the effect through comparing kinematic factors between trial data (Raw) and PE. Ten subjects (5 men(S6-S10), 5 women were recruited and 80% of their maximal record was considered. The cpnclusions were as follows.
Ten subjects (5 men(S6-S10), 5 women(S1-S5, gold medalist 1, silver medalist 1 in Beijing Olympic)) were recruited for this study (Table 1). These subjects all participated in the Guangzhou Asian Game in 2010 as members of the Korean national team.

성능/효과

5cm) of our study is smaller than that of Akkus’s study (2012). Our experiment was conducted about 80% of maximal record and was studied on the basis of the most stable lock out position after last pull. Therefore, drop distance of about 15.
There were some significant differences in bar movement for the PE compared to the actual trials (Table 4): the movement distance of the bar from start to lock out was significantly larger (about 1cm) for PE, the width of anterior-posterior bar position in full phase was significantly wider (about 1.3cm) for PE and the horizontal displacement toward the weightlifter after beginning of descent from maximal height was significantly greater (about 0.4cm) for PE. Additionally, the minimum knee angle in the 2-pull phase was significantly smaller (approximately 2.

참고문헌 (21)

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상세보기
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