Authors:
Samir Duvelek
1
;
Dominik Hoelbling
1
;
René Baranyi
1
;
Roland Breiteneder
1
;
Karl Pinter
1
and
Thomas Grechenig
1
;
2
Affiliations:
1
Research Group for Industrial Software (INSO), Vienna University of Technology, Vienna, Austria
;
2
RISE Institute of Technology, Sri Sathya Sai District, Andhra Pradesh, India
Keyword(s):
Motion Capturing, Video Analysis, Kinematic, Martial Arts, Kicking Techniques, Artificial Intelligence.
Abstract:
A sound technique forms the fundamental basis for many sports, particularly Martial Arts, as it often distinguishes between successful hits and being hit. However, the process of improving one’s technique is highly
intricate, often requiring expert feedback and expensive technology such as 3D motion capturing. The integration of automated technique analysis has the potential to streamline this process and make it more accessible.
In this study, the aim is to democratize technique analysis by developing and evaluating a web application.
This application allows users to upload 2D video recordings of themselves performing the double side kick
technique and receive immediate feedback. To validate the analysis generated by the application, it was compared to a Vicon motion app 3D analysis of the same data from a preliminary study involving 44 participants.
The results of Bland-Altman plot analysis demonstrated a highly significant agreement between the 3D and
2D performance indicato
rs (Mean differences: relative phase duration: <0.04s; vector spreading angle: <15
degrees; relative body position <13%), indicating that the web application is a suitable tool for fast and effective motion analysis.
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