Automatic Assessment of Skill and Performance in Fencing Footwork

Filip Malawski, Marek Krupa, Ksawery Kapela

2024

Abstract

Typically human action recognition methods focus on the detection and classification of actions. In this work, we consider qualitative evaluation of sports actions, namely in fencing footwork, including technical skill and physical performance. In cooperation with fencing coaches, we designed, recorded, and labeled an extensive dataset including 28 variants of incorrect executions of fencing footwork actions as well as corresponding correct variants. Moreover, the dataset contains action sequences for action recognition tasks. This is the most extensive fencing action dataset collected to date. We propose and evaluate an expert system, based on pose estimation in video data, for measuring relevant motion parameters and distinguishing between correct and incorrect executions of actions. Additionally, we validate a method for temporal segmentation and classification of actions in sequences. The obtained results indicate that the proposed solution can provide relevant feedback in fencing training.

Paper Citation

in Harvard Style

Malawski F., Krupa M. and Kapela K. (2024). Automatic Assessment of Skill and Performance in Fencing Footwork. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 637-644. DOI: 10.5220/0012577600003660

in Bibtex Style

@conference{visapp24,
author={Filip Malawski and Marek Krupa and Ksawery Kapela},
title={Automatic Assessment of Skill and Performance in Fencing Footwork},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={637-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012577600003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Automatic Assessment of Skill and Performance in Fencing Footwork
SN - 978-989-758-679-8
AU - Malawski F.
AU - Krupa M.
AU - Kapela K.
PY - 2024
SP - 637
EP - 644
DO - 10.5220/0012577600003660
PB - SciTePress