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

First Advisor

Dominik Guess

Second Advisor

Gregory Kohn

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.

Available for download on Monday, December 18, 2028

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