Neural Networks Classification for Training of Five German Longsword Mastercuts - A Novel Application of Motion Capture: Analysis of Performance of Sword Fencing in the Historical European Martial Arts (HEMA) Domain

This paper discusses an application of motion capture in longsword fencing, a discipline experiencing rising popularity since the 1990s. Historical European Martial Arts alliance focuses on re-enacting the Late Middle Ages and Renaissance fighting styles. To popularize this art, novel research to au...

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Published in2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI) pp. 000137 - 000142
Main Authors Klempous, Ryszard, Kluwak, Konrad, Atsushi, Ito, Gorski, Tomasz, Nikodem, Jan, Bozejko, Wojciech, Chaczko, Zenon, Borowik, Grzegorz, Rozenblit, Jerzy, Kulbacki, Marek
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.11.2021
Subjects
5 German Longsword Mastercuts
Electrodes
Europe
Forestry
Historical European Martial Arts (HEMA)
Human motion database
Human motion lab
k-Nearest Neighbors
Kendo
Medical services
Motion analysis
Movement classification
Multi-layer perceptron
Naïve Bayes classifier
Neural networks
Neutral Networks
PCA
Random Forest
Training
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Summary:This paper discusses an application of motion capture in longsword fencing, a discipline experiencing rising popularity since the 1990s. Historical European Martial Arts alliance focuses on re-enacting the Late Middle Ages and Renaissance fighting styles. To popularize this art, novel research to automatically distinguish selected sword cutting techniques has been conducted. The fencing knowledge required for conducting this research was based on publications and consultation with experts in the field, and recordings. For this research, different movements from Masterstrikes such as Zornhau (Strike of Wrath), Schielhau (Squinting Strike), Zwerchhau (Cross Strike), Krumphau (Crooked Strike), Scheitelhau (Crown Strike) were selected. Motions performed by an adept fencer (acting expert) were used as patterns of correct strikes and compared with the movements of fencing amateurs. The main goal of this research was to measure the precision of movement while performing five different fencing strokes. Each movement was recorded with 39 unique full-body plug-in gait configurations initially designed for medical applications. During the exercise, 16 EMG electrodes configuration was used for the measurement of muscle activity.
ISSN:2471-9269
DOI:10.1109/CINTI53070.2021.9668598