Constructing A Scoring Support Approach Model For Classical Ballet: Combining Motion Capture And Statistical Science

Abstract

This study employs motion capture and statistics todevelop an objective, rational scoring system for classical ballet and uses theresults to construct a scoring support approach model. Specifically, the studyfocuses on classical ballet, using interviews with judges and other methods toclarify the correlation between practical skills and barre training as well asbetween technical and artistic scores. This process revealed that practicalskills are a combination of movements practiced at a barre and that technicalevaluations ofbarre training have a direct link to overall evaluations of practical skills.Based on these insights, the authors broke barre training down into individualmovement elements and movement factors, then clarified the causal relationshipsamong them using positioning data gathered from motion capture equipment andfrom scoring results by professional judges. The knowledge gained was, in turn,used to actually support the scoring of classical ballet barre training, andthe desired results were obtained.