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Reliability and validity of the fulltrack AI application to determine cricket bowling line and length compared to 3D motion capture

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dc.contributor.authorTissera, K.
dc.contributor.authorShorter, K.A.
dc.contributor.authorHuynh, M.
dc.contributor.authorBenson, A.C.
dc.date.issued2024
dc.description.abstractThis study examined reliability and validity of the Fulltrack AI application to identify cricket ball landing position (line, length). Nine hundred and thirty-two deliveries were compared to 3D motion capture, the criterion measure, with 836 included in analysis (516 bowled (pace = 420, spin = 96), 320 Sidearm (TM); 301 facing a batter). Agreement analysis indicated an intraclass correlation coefficient of >0.96 for raw and filter 3D line and length data, compared to Fulltrack AI. The coefficient of variation was acceptable for length (<10%) and larger for line (23.82%), albeit with a smaller standard error of measurement (SEM = 0.05 m), improving with outliers removed. Bland-Altman plots confirmed good statistical agreement between devices, with limits of agreement largely within maximal allowable difference values. There are potential practical application considerations, given SEM = 0.47 m for length (diameter of seven cricket balls); with greater variability detecting length closer to the batters-end, and line closer to the bowlers-end. Validity, using a generalised additive model, showed no significant differences between devices (p > 0.05), with no condition-based interaction effects. The Fulltrack AI application enables ecologically valid assessment of bowling performance. Considering the trade-off between this and the accuracy of information is warranted when deciding how best to apply it to coaching environments to support augmented feedback.
dc.identifier.citationSports Biomechanics, online, 2024; online(1):1-17
dc.identifier.doi10.1080/14763141.2024.2381108
dc.identifier.issn1476-3141
dc.identifier.issn1752-6116
dc.identifier.urihttps://hdl.handle.net/11541.2/39749
dc.language.isoen
dc.publisherRoutledge
dc.relation.fundingAustralian Government Research Training Program (RTP) Scholarship
dc.rightsCopyright 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.source.urihttps://doi.org/10.1080/14763141.2024.2381108
dc.subjectcricket
dc.subjecttechnology
dc.subjectfeedback
dc.subjectmotion capture
dc.subjectcoaching
dc.titleReliability and validity of the fulltrack AI application to determine cricket bowling line and length compared to 3D motion capture
dc.typeJournal article
pubs.publication-statusPublished
ror.mmsid9916891531201831

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