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Evaluation of the gross motor abilities of autistic children with a computerised evaluation method

Bibliographic Data

ID21452393
AuthorsXiaodi Liu (0009-0009-5747-1819, Central China Normal University), Jingying Chen (0000-0002-1523-3478, Central China Normal University, corresponding author), Guangshuai Wang (0000-0003-1022-3227, Central China Normal University), Kun Zhang (0000-0003-1636-5373, Central China Normal University), Jianchi Sun (0000-0003-2256-6294, Central China Normal University), Pianpian Ma (0000-0001-9675-0639, Central China Normal University), Rujing Zhang (0000-0002-5204-3809, Liaocheng University)
Year2024
Volume43
Issue13
Pages3261-3270
Publication date2024-10-02
Open AccessNo
TypeARTICLE
VenueBehaviour and Information Technology (JOURNAL)
Journal identifiersISSN: 0144-929X • E-ISSN: 1362-3001
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2023.2275163
OpenAlexW4388021519
LanguageEN
References cited51

To effectively evaluate the gross motor ability of autistic children, we proposed a method of computerised evaluation of gross motor skills (CEGM). The CEGM integrates Dynamic Time Warping (DTW) method and OpenPose technology to automatically detect key joints and return a score. Ten items were selected for evaluation based on the gross motor subtest of the Psychoeducational Profile – Third Edition (PEP-3) scale, including upper limb movement, lower limb movement, and body coordination performance. 30 autistic participants (males: 23, female: 7) with an average age of 5.00 years were recruited in this study. Then we compared the results of evaluation using CEGM and the original PEP-3 gross motor subtest in autistic children. The results showed that in the evaluations using CEGM and PEP-3, Cronbach’s α coefficients and Spearman-rank correlation coefficients were all greater than 0.80, intraclass correlation coefficient (ICC) were all greater than 0.90, indicating good agreement in evaluating the gross motor ability of autistic children. Moreover, compared to the PEP-3, the evaluation using CEGM provided precise quantitative indicators (trajectory, velocity, and angle of joint). Therefore, our findings demonstrate that CEGM can be used in the initial evaluation of the gross motor ability of autistic children

Autism · Developmental psychology · Gross motor skill · Motor skill · Autism Spectrum Disorder Research · Cerebral Palsy and Movement Disorders · Children's Physical and Motor Development · Computer Science · Psychology

  • Autism spectrum disorder

    Open Access•Catherine Lord, Traolach Brugha et al.•Nature Reviews Disease Primers•2020

  • OpenPose

    Open Access•Zhe Cao, Gines Hidalgo et al.•IEEE Transactions on Pattern…•2021

  • Association between Social Skills and Motor Skills in Individuals with Autism Spectrum Disorder

    Open Access•Reiko Ohara, Yuji Kanejima et al.•European Journal of Investigation…•2019

Highly citedNo

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