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Identification of movement strategies in vertical jumps

Richter, Chris orcid logoORCID: 0000-0001-6017-1520, Marshall, Brendan, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Moran, Kieran orcid logoORCID: 0000-0003-2015-8967 (2014) Identification of movement strategies in vertical jumps. In: Symposium of the International Society of Biomechanics in Sports (ISBS 2014), 12-16 Jul 2014, Johnson City, TN..

Abstract
The primary aim of this study is to compare the ability of three commonly used clustering techniques to identify movement strategies within countermovement jumps. A secondary aim is to interpret the identified movement strategies. A hierarchical, k-means using non- and normalized subject scores and an Expectation-Maximization approach using normalized subject scores were examined. The ability to identify movement strategies was measured using the r2-value of a regression model to describe jump height. Clusters of the best clustering solution were examined for differences. Hierarchical clustering utilizing normalized subject scores to generate 4 clusters appears to be the most suitable technique. The generated clusters demonstrated clear defining characteristics.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:single group analysis; subgroup analysis; continuous data analysis; performance related factors; countermovement jump
Subjects:Medical Sciences > Kinesiology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19910
Deposited On:16 Jul 2014 13:48 by Chris Richter . Last Modified 19 Oct 2018 13:13
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