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

• Published in: 2021 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
• Language: English
• 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

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...