Non-invasive technologies have significantly influenced the advancement of electromagnetics- and optics-based
diagnostic methodologies in clinical settings. While the Romberg test is a pivotal preliminary screening tool for
motor ataxia, its intrinsic subjectivity and constrained diagnostic sensitivity, owing to its reliance on visual
appraisal by clinicians, critically limit its efficacy. To surmount these limitations, this study instituted a webcam-
based quantitative diagnostic approach to capture and analyze human motion. Precise analytical procedures
using artificial intelligence were devised to examine skeletal joint-position variance, culminating in a
comparison of individuals exhibiting normal and control signs. Rigorous statistical scrutiny via Mann–Whitney
U testing substantiated statistically significant divergences between the two cohorts (p<0.001), thereby validating
this technological advancement’s potential in capturing nuanced movements traditionally challenging to
qualitatively assess. This endeavor fortifies the Romberg test’s diagnostic capabilities and extrapolates the significance
of non-invasive technologies, albeit without direct implications on treatment, in enhancing clinical
diagnostic protocols.