ORCID
https://orcid.org/0000-0002-1413-956X
Year
2023
Season
Fall
Paper Type
Master's Thesis
College
College of Arts and Sciences
Degree Name
Master of Science in Psychological Science (MSPS)
Department
Psychology
NACO controlled Corporate Body
University of North Florida. Department of Psychology
Committee Chairperson
Dominik Guess
Second Advisor
Gregory Kohn
Rights Statement
http://rightsstatements.org/vocab/InC/1.0/
Department Chair
Lori Lange
College Dean
Kaveri Subrahmanyam
Abstract
The present work involves screening for dysmetria via motor neurological soft signs, in order to detect the presence of Developmental Coordination Disorder (DCD). We attempt to achieve DCD identification through utilizing a bottom-up supervised learning approach to estimate marker-less 2D pose data for the construction of a kinematic skeleton and represent this data through a Lagrangian framework. Participants (N=51) engaged in three VR experiences, to assess for motor neurological soft signs in fine, micro-, and gross motor. Footage of the participants was interpreted within DeepLabCut into coordinate data. Participants were placed into either dichotomous (neurotypical v. neurodivergent) or trichotomously (neurotypical v. diagnosed condition v. suspected/self-diagnosed condition) for comparison of motion in statistical analysis. This project best serves the field as a prototype for future methodology. Notable improvements are explored to encourage further testing in determining virtual reality applications and motion tracking for the diagnosis of DCD.
Suggested Citation
Boyd, Lauren E., "An application of virtual reality technology for adult diagnosis of Developmental Coordination Disorder" (2023). UNF Graduate Theses and Dissertations. 1246.
https://digitalcommons.unf.edu/etd/1246
Included in
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