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

Ryszard Klempous, Konrad Kluwak, Ito Atsushi, Tomasz Gorski, Jan Nikodem, Wojciech Bozejko, Zenon Chaczko, Grzegorz Borowik, Jerzy Rozenblit, Marek Kulbacki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-142
Number of pages6
ISBN (Electronic)9781665426848
DOIs
StatePublished - 2021
Event21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 - Budapest, Hungary
Duration: Nov 18 2021Nov 20 2021

Publication series

Name21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 - Proceedings

Conference

Conference21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021
Country/TerritoryHungary
CityBudapest
Period11/18/2111/20/21

Keywords

  • 5 German Longsword Mastercuts
  • Historical European Martial Arts (HEMA)
  • Human motion database
  • Human motion lab
  • Kendo
  • Motion analysis
  • Movement classification
  • Multi-layer perceptron
  • Naïve Bayes classifier
  • Neutral Networks
  • PCA
  • Random Forest
  • k-Nearest Neighbors

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Industrial and Manufacturing Engineering

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