Leveraging Machine Learning to Effortlessly Track Patient Movement in the Clinic.

The objective of this study is the development of a system that will allow for the precise measurement of movement kinematics in a clinical exam setting using natural video from three cameras and machine learning to track points of interest. The investigators aim to implement such system in an unobtrusive and simply-incorporated way into the physical exam to provide exact, objective measures to detect patient movement abnormalities in ways not feasible with current tracking technologies.