Recurrence analysis discriminates martial art movement patterns
School of Applied Sciences, London South Bank University, SE1 0AA, London, UK
2 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, 14412, Potsdam, Germany
Accepted: 27 September 2022
Published online: 10 October 2022
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.
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