Open AccessMathematical simulation approach to diagnose performance limiting factor of shot put technique
Author(s) -
Moh. Nanang Himawan Kusuma
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1778/1/012038
Subject(s) - kinematics , throwing , shot (pellet) , simulation , sagittal plane , muzzle velocity , mathematics , limiting , shoulders , mechanics , geometry , physics , computer science , engineering , mechanical engineering , materials science , classical mechanics , medicine , anatomy , surgery , projectile , quantum mechanics , metallurgy
The applied mathematics simulation for human mot ion is one breakthrough of sports biomechanics in sports science. The optimum rate of energy generated in muscle s and knees, hips, shoulders and wrists play a significant role and influence the throw distance. Kinetic analysis of parabolic path is predominantly determined by the speed of release (V 0 ) , angle of release (α) and height of at release ( h 0 ) at the delivery phase of throwing. The inequality of anthropometry, physical and quality of technique requires coaches to develop mathematical simulation to diagnose performance. This study describes mathematical simulation of speed (V 0 ), angle (α) and height of release (h 0 ) against a throw distance. The 28 male sport students (19.3±1.2 years, weight of 68.2±5.5 kg, height of 169.7±5.4cm) represent a linear shot put (4kg), recorded with 2 HD cameras in sagittal plane and analysed with kinovea software for kinematic motion. There is significant relationship between speed- (p=0.001), angle -(p=0.003) and height of release (p=0.004) with performance. The rate of speed (7.23±0.75ms-1), angle (44.67± 9.19°) and height of release was (194±7.72cm). The greatest shot performance was 12.57m, applies 7.98±0.02ms of speed , 48.59±2.18° of angle and 199.63±2.21cm of height. Mathematical Simulation can be applied to predict shot put performance through kinematic study.