TY - GEN
T1 - Reference Datasets for Analysis of Traditional Japanese and German Martial Arts
AU - Kluwak, Konrad
AU - Klempous, Ryszard
AU - Ito, Atsushi
AU - Górski, Tomasz
AU - Nikodem, Jan
AU - Wojciechowski, Konrad
AU - Rozenblit, Jerzy
AU - Borowik, Grzegorz
AU - Chaczko, Zenon
AU - Bożejko, Wojciech
AU - Kulbacki, Marek
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The study of Japanese fencing and German Longsword Mastercuts based on exact motion measurements in specialist labs is summarized in this work. Based on a streamlined measuring technique, the need for a more thorough study has been suggested that might apply to the observation and evaluation of movement during training in a real-world setting. The requisite data sets and domain knowledge must be available to create motion analysis methods of human sword combat. Such information helps compare several algorithms and techniques, and develop and test new computational methods. In 2020, we created one of the world’s first reference databases of fencing actions, which included five master long sword strikes with kinetic, kinematic, and video modalities. We were able to assess these movements and suggest potential study directions thanks to the created methods and algorithms. This paper proposes to extend the presented registration technologies for long swords and swordsmanship to similar combat, such as Japanese Kendo sword fencing.
AB - The study of Japanese fencing and German Longsword Mastercuts based on exact motion measurements in specialist labs is summarized in this work. Based on a streamlined measuring technique, the need for a more thorough study has been suggested that might apply to the observation and evaluation of movement during training in a real-world setting. The requisite data sets and domain knowledge must be available to create motion analysis methods of human sword combat. Such information helps compare several algorithms and techniques, and develop and test new computational methods. In 2020, we created one of the world’s first reference databases of fencing actions, which included five master long sword strikes with kinetic, kinematic, and video modalities. We were able to assess these movements and suggest potential study directions thanks to the created methods and algorithms. This paper proposes to extend the presented registration technologies for long swords and swordsmanship to similar combat, such as Japanese Kendo sword fencing.
KW - German Longsword Mastercuts
KW - Human motion analysis
KW - Japanese fencing analysis
KW - Martial art analysis
KW - Reference datasets
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U2 - 10.1007/978-3-031-25312-6_59
DO - 10.1007/978-3-031-25312-6_59
M3 - Conference contribution
AN - SCOPUS:85151117201
SN - 9783031253119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 504
EP - 511
BT - Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers
A2 - Moreno-Díaz, Roberto
A2 - Pichler, Franz
A2 - Quesada-Arencibia, Alexis
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022
Y2 - 20 February 2022 through 25 February 2022
ER -