Application of three-dimensional motion capture technology in children's developmental Coordination Disorder

Zhang, J, Xu, C, Dai, X, Shen, M, Du, W ORCID logoORCID: https://orcid.org/0000-0002-5115-7214, Cai, X and Hua, J, 2022. Application of three-dimensional motion capture technology in children's developmental Coordination Disorder. Chinese Journal of Child Health Care, 30 (3), pp. 285-288. ISSN 1008-6579

[thumbnail of 1536753_Du.pdf]
Preview
Text
1536753_Du.pdf - Published version

Download (565kB) | Preview

Abstract

Developmental Coordination Disorder (DCD) is a developmental disease with motor coordination disorder as the main manifestation. It has a high prevalence in childhood and can seriously affect the physical and mental health of children. Three-dimensional motion capture has the advantage of accurately analysing the nuances of movements, and is used in the diagnostic intervention of DCD in European and American countries. However, this technology is currently only used for gait analysis of children with cerebral palsy in China. This study reviews the domestic and foreign literature, analyses the research progress of 3D motion capture technology in children's DCD function evaluation and diagnostic intervention application, and explores the feasibility of its ultra-early (infant) diagnosis, so as to provide new ideas and methods for further realizing the accuracy of children's DCD diagnosis.

Item Type: Journal article
Description: Paper published in Chinese with an English abstract.
Publication Title: Chinese Journal of Child Health Care
Creators: Zhang, J., Xu, C., Dai, X., Shen, M., Du, W., Cai, X. and Hua, J.
Date: 21 March 2022
Volume: 30
Number: 3
ISSN: 1008-6579
Identifiers:
Number
Type
10.11852/zgetbjzz2020-2105
DOI
1536753
Other
Divisions: Schools > School of Social Sciences
Record created by: Laura Ward
Date Added: 12 Apr 2022 15:23
Last Modified: 12 Apr 2022 15:24
Related URLs:
URI: https://irep.ntu.ac.uk/id/eprint/46122

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year