Recurrance analysis discriminates martial art performance patterns

Journal article


Straiotto, B.G., Marwan, N, Seeley, P.J. and James, D.C. (2023). Recurrance analysis discriminates martial art performance patterns. The European Physical Journal Special Topics. 232 (1), pp. 151-59. https://doi.org/10.1140/epjs/s11734-022-00684-6
AuthorsStraiotto, B.G., Marwan, N, Seeley, P.J. and James, D.C.
Abstract

We aimed to determine whether the combined application of principal components and recurrence quantification analyses might serve to discriminate both spatial and temporal differences between backwards-forwards movement patterns. Elite (n = 9) and nonelite (n = 9) martial artists were recorded using motion capture techniques and features of whole-body movement defined at the segment level were investigated by principal components analysis. For both groups of subjects, four movement components explained > 90% of the variability in the data. Given our interest in temporal patterning, the time series derived from scores for each of the principal components were subsequently subjected to recurrence quantification analysis, participant by participant. For the first movement component, statistically significant differences between groups were detected for the recurrence measure determinism (p < 0.05). For the third movement component, statistically significant differences were detected for the recurrence measures laminarity and maxline (p < 0.01). Hence use of a combination of principal components and recurrence techniques revealed quantitative differences between movements of the two subject groups, differences that may represent more skilled motor control in the elite group related to the functional importance of these apparently simple movement patterns.

Year2023
JournalThe European Physical Journal Special Topics
Journal citation232 (1), pp. 151-59
PublisherSpringer
ISSN1951 6401
Digital Object Identifier (DOI)https://doi.org/10.1140/epjs/s11734-022-00684-6
Web address (URL)https://link.springer.com/article/10.1140/epjs/s11734-022-00684-6
Publication dates
Online10 Oct 2022
Publication process dates
Accepted27 Sep 2022
Deposited12 May 2023
Accepted author manuscript
License
File Access Level
Open
Additional information

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1140/epjs/s11734-022-00684-6

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