Power position technique prediction model for javelin throws based on a selected Kinematics variable

The present study investigates the correlation between selected kinematic variables and performance outcomes in the javelin throw, with a specific focus on the power position phase. A total of 20 male senior national-level javelin throwers from India, aged between 20 and 28 years, were selected as subjects. The technique of each athlete was captured using sequential photography under controlled conditions, employing calibrated and standardized equipment including a GoPro Hero 5 camera (240 fps), tripod, cones, and measuring tape. Filming was conducted in the sagittal plane to ensure optimal visualization of body movements during the power position. Each athlete performed the javelin throw technique three times, with the best attempt selected for analysis based on expert subjective judgment. The footage was analyzed using Kinovea Software (Version 0.8.27), with frames paused at key moments to extract kinematic variables. The power position technique was assessed by a panel of three expert judges who assigned scores out of 40 for each athlete. Statistical tools including multiple regression analysis, t-values, and partial correlation coefficients were applied to determine the predictive relationship between kinematic variables and performance scores. The level of significance was set at 0.05. The findings indicate a strong predictive value of biomechanical factors related to the, Angle at Left Knee, Angle at Right Hip Joint, Angle at Left Shoulder in optimizing javelin throw performance during the power position phase. It is recommended that training programs for javelin throwers place greater emphasis on biomechanical efficiency and coordination of key joints to enhance overall throwing performance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-22
DOI
https://doi.org/10.5281/zenodo.15490474
Primary Topic
Sports Dynamics and Biomechanics
Type
article
Field-Weighted Citation Impact
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article

Power position technique prediction model for javelin throws based on a selected Kinematics variable

Zenodo (CERN European Organization for Nuclear Research)
Sports Dynamics and Biomechanics
article

Power position technique prediction model for javelin throws based on a selected Kinematics variable

article en

Abstract

The present study investigates the correlation between selected kinematic variables and performance outcomes in the javelin throw, with a specific focus on the power position phase. A total of 20 male senior national-level javelin throwers from India, aged between 20 and 28 years, were selected as subjects. The technique of each athlete was captured using sequential photography under controlled conditions, employing calibrated and standardized equipment including a GoPro Hero 5 camera (240 fps), tripod, cones, and measuring tape. Filming was conducted in the sagittal plane to ensure optimal visualization of body movements during the power position. Each athlete performed the javelin throw technique three times, with the best attempt selected for analysis based on expert subjective judgment. The footage was analyzed using Kinovea Software (Version 0.8.27), with frames paused at key moments to extract kinematic variables. The power position technique was assessed by a panel of three expert judges who assigned scores out of 40 for each athlete. Statistical tools including multiple regression analysis, t-values, and partial correlation coefficients were applied to determine the predictive relationship between kinematic variables and performance scores. The level of significance was set at 0.05. The findings indicate a strong predictive value of biomechanical factors related to the, Angle at Left Knee, Angle at Right Hip Joint, Angle at Left Shoulder in optimizing javelin throw performance during the power position phase. It is recommended that training programs for javelin throwers place greater emphasis on biomechanical efficiency and coordination of key joints to enhance overall throwing performance.

Zenodo (CERN European Organization for Nuclear Research)
Shobhit University (IN), Chaudhary Charan Singh University (IN)
Openalex Percentile: Top 55%
Sports Dynamics and Biomechanics
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