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Title: Analysis of gait synchrony and balance in neurodevelopmental disorders using computer vision techniques
Gait tasks are commonly administered during motor assessments of children with neurodevelopmental disorders (NDDs). Gait analyses are often conducted in laboratory settings using costly and cumbersome experiments. In this paper, we propose a computational pipeline using computer vision techniques as an ecological and precise method to quantify gait in children with NDDs with challenging behaviors. We analyzed videos of 15 probands (PB) and 12 typically developing (TD) siblings, engaged in a preferred-pace walking task, using pose estimation software to track points of interest on their bodies over time. Analyzing the extracted information revealed that PB children had significantly less whole-body gait synchrony and poorer balance compared to their TD siblings. Our work offers a cost-effective method while preserving the validity of its results. This remote approach increases access to more diverse and distant cohorts and thus lowers barriers to research participation, further enriching our understanding of motor outcomes in NDDs.  more » « less
Award ID(s):
1838725
PAR ID:
10387494
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Health Informatics Journal
Volume:
27
Issue:
4
ISSN:
1460-4582
Page Range / eLocation ID:
146045822110556
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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