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A Video-Based Classification System for Assessing Locomotor Skills in Children.

Daniel H K Chow1, Wilson H W Cheng1, Simone S M Tam1

  • 1Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong.

Journal of Sports Science & Medicine
|September 3, 2020
PubMed
Summary
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A new video-based classification system (VCS) offers an efficient alternative for assessing children's fundamental movement skills (FMS). This marker-less system shows good agreement with the standard TGMD-2, reducing the need for expert raters.

Area of Science:

  • Pediatric kinesiology
  • Motor development assessment
  • Biomechanical analysis

Background:

  • The Test of Gross Motor Development 2 (TGMD-2) is the standard for assessing fundamental movement skills (FMS).
  • TGMD-2's large-scale application is limited by its inefficiency and need for expert training.
  • There is a need for more efficient and accessible methods to assess children's motor skills.

Purpose of the Study:

  • To evaluate the accuracy of a novel video-based classification system (VCS) using a marker-less sensor for assessing children's locomotor skills.
  • To compare the VCS's performance against the established TGMD-2 assessment.
  • To determine if VCS can serve as a viable alternative for FMS evaluation.

Main Methods:

  • 203 typically-developing children (3-8 years) performed six locomotor skills per TGMD-2 guidelines.
Keywords:
ChildrenFundamental movement skillsKinect v2 sensorMarker-less deviceTGMD-2Video-based system

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  • Kinect v2 sensor captured movements; videos were rated by a trained rater and the VCS.
  • Computational-kinematic algorithms were developed for instant performance rating by the VCS.

    • Main Results:

    • VCS showed moderate-to-very good agreement with the rater (66.1%-87.5% per skill, 72.4% descriptive).
    • No significant differences were found between TGMD-2 and VCS standard scores, with a significant positive correlation.
    • Tukey mean difference plot indicated no bias (mean difference -0.16 ± 1.8), and moderate kappa agreement (k=0.54) for descriptive ratings.

    Conclusions:

    • The video-based classification system (VCS) demonstrates potential as an alternative to the TGMD-2 for assessing children's locomotor skills.
    • VCS offers a more efficient and accessible method, potentially eliminating the need for an experienced rater.
    • This technology could facilitate broader and more frequent assessments of fundamental movement skills in children.