Principal Component Analysis can Be Used to Discriminate Between Elite and Sub-Elite Kicking Performance

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11510%2F23%3A10464621" target="_blank" >RIV/00216208:11510/23:10464621 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=egIbgKWipu" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=egIbgKWipu</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1123/mc.2022-0073" target="_blank" >10.1123/mc.2022-0073</a>

Result language

angličtina

Original language name

Principal Component Analysis can Be Used to Discriminate Between Elite and Sub-Elite Kicking Performance

Original language description

Contemporary descriptions of motor control suggest that variability in movement can be indicative of skilled or unskilled performance. Here we used principal component analysis to study the kicking performance of elite and sub-elite soldiers who were highly familiar with the skill in order to compare the variability in the first and second principal components. The subjects kicked a force plate under a range of loaded conditions, and their movement was recorded using optical motion capture. The first principal component explained &gt;92% of the variability across all kinematic variables when analyzed separately for each condition, and both groups and explained more of the variation in the movement of the elite group. There was more variation in the loading coefficient of the first principal component for the sub-elite group. In contrast, for the second principal component, there was more variation in the loading coefficient for the elite group, and the relative magnitude of the variation was greater than for the first principal component for both groups. These results suggest that the first principal component represented the most fundamental movement pattern, and there was less variation in this mode for the elite group. In addition, more of the variability was explained by the hip than the knee angle entered when both variables were entered into the same PCA, which suggests that the movement is driven by the hip.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30306 - Sport and fitness sciences

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Motor Control

ISSN

1087-1640

e-ISSN

1543-2696

Volume of the periodical

27

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

354-372

UT code for WoS article

000927516000001

EID of the result in the Scopus database

2-s2.0-85151574479