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Biomechatronic Simulator for Fencing Training Using Virtual Reality Technology

Authors :
Robert Michnik
Katarzyna Paszek
Bogdan Bacik
Michał Morys
Miłosz Chrzan
Marek Gzik
Andrzej Bieniek
Anna Szczygioł
Piotr Wodarski
Grzegorz Juras
Source :
Advances in Intelligent Systems and Computing ISBN: 9783030158569
Publication Year :
2019
Publisher :
Springer International Publishing, 2019.

Abstract

Fencing is a combat sport in which fencers compete in three weapons: foil, saber and epee. They differ from each other in blade type, valid target and scoring technique. Although the fundamental role of speed, coordination and sensory-motor skills in fencing is indisputable, merely rapid and correct accomplishment of a movement does not ensure success. Outright bout against an opponent requires high level of perceiving, information processing and accurate decision-making. Thus, in fencing, as a ‘game of anticipation and deception’, technical abilities are just a tool used to execute chosen strategy and tactics. The repeatability of joints’ movements relevant to the lunge performance was measured. Shoulder, elbow and wrist joint of the upper arm, hip joint and knee leg movements were checked in order to match and determine the number of necessary recordings. The study covered 10 athletes, 6 saber and 4 epee fencers, members of Polish National Team. There is a repeatability in measured movements. The weak and negative correlation coefficient is observed just between several subjects. The strong correlation coefficient was noted across trials within a single subject. This result implies, that frequently repeated movements create stable movement patterns which is individual for each of the subjects. According to individual character of performed actions, animation database should contain possible highest number of recorded athletes. Just widening of database can provide expected level of diversity to fencing training and prevent the effect of ‘learning’ just one opponent.

Details

ISBN :
978-3-030-15856-9
ISBNs :
9783030158569
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783030158569
Accession number :
edsair.doi...........6b6404e123e54c56aa29c46130dbac39