TY - GEN
T1 - Neural Networks Classification for Training of Five German Longsword Mastercuts - A Novel Application of Motion Capture
T2 - 21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021
AU - Klempous, Ryszard
AU - Kluwak, Konrad
AU - Atsushi, Ito
AU - Gorski, Tomasz
AU - Nikodem, Jan
AU - Bozejko, Wojciech
AU - Chaczko, Zenon
AU - Borowik, Grzegorz
AU - Rozenblit, Jerzy
AU - Kulbacki, Marek
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - 5 German Longsword Mastercuts
KW - Historical European Martial Arts (HEMA)
KW - Human motion database
KW - Human motion lab
KW - Kendo
KW - Motion analysis
KW - Movement classification
KW - Multi-layer perceptron
KW - Naïve Bayes classifier
KW - Neutral Networks
KW - PCA
KW - Random Forest
KW - k-Nearest Neighbors
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U2 - 10.1109/CINTI53070.2021.9668598
DO - 10.1109/CINTI53070.2021.9668598
M3 - Conference contribution
AN - SCOPUS:85124995611
T3 - 21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 - Proceedings
SP - 137
EP - 142
BT - 21st IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 November 2021 through 20 November 2021
ER -