A Vision-Based Characterization of Human Movement Scaling in Large-Amplitude Tasks

This pilot study investigates the feasibility of objectively quantifying movement amplitude and amplitude decay during large-amplitude exercises using RGB camera-based video analysis in healthy volunteers. Six large-amplitude exercises are recorded across repeated trials, with the first repetition clinically confirmed as the individual's maximum reference. Movement amplitude is quantified using pose-based kinematic measures and complemented by an exploratory self-supervised visual transformer approach to characterize repetition-wise changes relative to the reference execution. The study aims to determine whether camera-based methods can detect amplitude decay patterns and identify moments requiring clinical verbal cues, thereby supporting future objective monitoring and feedback in large-amplitude exercise training.