Literature DB >> 23782364

Comparing performance and kinematics of throwing with a circular and whip-like wind up by experienced handball players.

R van den Tillaar1, A Zondag, J Cabri.   

Abstract

The aim of this study was to compare the performance (throwing velocity of the ball) and kinematics of overarm throwing with the circular and whip-like wind up in elite handball players. Twenty-two elite handball players (11 men and 11 women) conducted both types of throws. The ball release velocity, maximal ball acceleration, maximal velocity of the end points of the five segments and maximal angles, angles at ball release and maximal angular velocities of the 11 joint movements and their timing during the throw were analyzed. Significantly higher ball release velocities (21.9 m/s vs 20.6 m/s) were reached together with higher maximal linear velocities of the end points of all segments and longer throwing time with the circular wind up than with the whip-like wind up. Furthermore, it seems that the timing and amount of maximal angular pelvis rotation was the main contributor to the difference in the maximal ball release velocity between the two wind ups. The findings support the observation that overarm throwing with the circular wind up results in higher ball releases but also a longer throwing movement in comparison to whip-like wind up throws.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  ball velocity; coordination; kinematics; team handball

Mesh:

Year:  2013        PMID: 23782364     DOI: 10.1111/sms.12091

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  3 in total

1.  Differences in ball speed and three-dimensional kinematics between male and female handball players during a standing throw with run-up.

Authors:  Ben Serrien; Ron Clijsen; Jonathan Blondeel; Maggy Goossens; Jean-Pierre Baeyens
Journal:  BMC Sports Sci Med Rehabil       Date:  2015-11-18

2.  Systematic Review and Meta-Analysis on Proximal-to-Distal Sequencing in Team Handball: Prospects for Talent Detection?

Authors:  Ben Serrien; Jean-Pierre Baeyens
Journal:  J Hum Kinet       Date:  2018-09-24       Impact factor: 2.193

3.  Can Machine Learning with IMUs Be Used to Detect Different Throws and Estimate Ball Velocity in Team Handball?

Authors:  Roland van den Tillaar; Shruti Bhandurge; Tom Stewart
Journal:  Sensors (Basel)       Date:  2021-03-25       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.