A Video-Based Classification System for Assessing Locomotor Skills in Children.
The Test of Gross Motor Development 2 (TGMD-2) is currently the standard approach for assessing fundamental movement skills (FMS), including locomotor and object control skills. However, its extensive application is restricted by its low efficiency and requirement of expert training for large-scale...
| Publicado en: | Journal of Sports Science & Medicine Vol. 19; no. 3; pp. 585 - 596 |
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| Autores principales: | , , |
| Formato: | glossary pictorial research tables/charts Journal Article |
| Publicado: |
Hakan Gur, Journal of Sports Science & Medicine
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=145178682&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145178682 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13032968 FYN jtl: Journal of Sports Science & Medicine issn: 13032968 maglogo: N pubinfo: dt: Sep2020 vid: 19 iid: 3 pid: 26030 pub: Hakan Gur, Journal of Sports Science & Medicine artinfo: ui: 145178682 145178682 145178682 145178682 ppf: 585 ppct: 11 formats: fmt: @attributes: type: P tig: atl: A Video-Based Classification System for Assessing Locomotor Skills in Children. aug: au: Chow, Daniel H. K. Cheng, Wilson H. W. Tam, Simone S. M. affil: Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong sug: subj: Motor Skills Evaluation Locomotion Evaluation Videorecording Human Child, Preschool Child Kinematics Wearable Sensors Algorithms Descriptive Statistics Paired T-Tests Post Hoc Analysis kappa Statistic Confidence Intervals Child, Preschool: 2-5 years Child: 6-12 years ab: The Test of Gross Motor Development 2 (TGMD-2) is currently the standard approach for assessing fundamental movement skills (FMS), including locomotor and object control skills. However, its extensive application is restricted by its low efficiency and requirement of expert training for large-scale evaluations. This study evaluated the accuracy of a newly-developed video-based classification system (VCS) with a marker-less sensor to assess children's locomotor skills. A total of 203 typically-developing children aged three to eight years executed six locomotor skills, following the TGMD-2 guidelines. A Kinect v2 sensor was used to capture their activities, and videos were recorded for further evaluation by a trained rater. A series of computational-kinematic-based algorithms was developed for instant performance rating. The VCS exhibited moderate-to-very good levels of agreement with the rater, ranging from 66.1% to 87.5%, for each skill, and 72.4% for descriptive ratings. Paired t-test revealed that there were no significant differences, but significant positive correlation, between the standard scores determined by the two approaches. Tukey mean difference plot suggested there was no bias, with a mean difference (SD) of -0.16 (1.8) and respective 95% confidence interval of 3.5. The kappa agreement for the descriptive ratings between the two approaches was found to be moderate (k = 0.54, p < 0.01). Overall, the results suggest the VCS could potentially be an alternative to the conventional TGMD-2 assessment approach for assessing children's locomotor skills without the necessity of the presence of an experienced rater for the administration. pubtype: Academic Journal doctype: glossary pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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