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...

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Publicado en:Journal of Sports Science & Medicine Vol. 19; no. 3; pp. 585 - 596
Autores principales: Chow, Daniel H. K., Cheng, Wilson H. W., Tam, Simone S. M.
Formato: glossary pictorial research tables/charts Journal Article
Publicado: Hakan Gur, Journal of Sports Science & Medicine Sep2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2020
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      pub: Hakan Gur, Journal of Sports Science & Medicine
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        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
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      ougenre: Article
    language: English
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