Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting

  • Dino Tartaruga University of Berne
  • Ralf Kredel University of Berne
Keywords: shooting, aiming, performance, hold, stability, compensation, feature reduction, machine learning

Abstract

Background: Aiming point analysis systems (APAS) are commonly used in sports shooting but face four main challenges: they do not account for intra-session variations, they overlook inter-individual shooter preferences, they ignore compensation mechanisms of technical features, and they do not respect the real shot location at the target. Methods: To address the first three challenges, we developed and validated an automated approach detector algorithm (ADA) for movement phase detection. When compared to three independent expert ratings, the ADA demonstrated a high correlation (r = .811). Building on the ADA and addressing challenge 3 and 4, this study applied cluster-analysis and ANOVA to determine the performance relevance of compensation-sensitive shot styles using datasets from a single athlete and 26 advanced to elite level athletes. Results: Significant performance differences in shot styles for both datasets, with each shot style distinctively differing from the others could be found. Conclusions: Shot styles which allow for compensation and intra-individual movement phase differences exhibit performance variations. Coaches and athletes should emphasize holistic training, focusing on combinations of features that allow for compensation.

Published
15.10.2024
How to Cite
Tartaruga, D., & Kredel, R. (2024). Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting. Current Issues in Sport Science (CISS), 9(1), 006. https://doi.org/10.36950/2024.9ciss006
Section
Biomechanics & Informatics