Research on Virtual Human Body Modeling and Taekwondo Movement Control Technology Based on Visual Perception

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Authors: Bin Xu, Yanling Li, Xia Xu
Cited by: 1
References: 19

Abstract

Taekwondo has extremely high requirements for standardization, coherence, and offensive and defensive rhythm of movements. The traditional training mode relies on subjective guidance from coaches, which leads to problems such as difficulty in accurately capturing movement details and a high risk of training difficult movements. The integration of virtual reality technology and virtual human modeling provides an effective way to address the aforementioned pain points. This study mainly focuses on visual perception-driven virtual human modeling and taekwondo motion control. The core motivation is to accurately obtain human joint motion data through visual perception, construct virtual human models and motion control schemes suitable for the characteristics of taekwondo, and achieve digitalization, visual reconstruction, and simulation of taekwondo. Therefore, this paper mainly explores how to effectively construct a three-dimensional geometric model of a virtual human body according to the requirements of taekwondo control technology, and analyzes how to improve the taekwondo motion model of the virtual human body. On the basis of analyzing the implementation methods of virtual reality technology, this study uses visual perception technology to obtain human joint data, constructs a virtual human body model, and achieves three-dimensional motion reconstruction of virtual humans. Based on the characteristics of taekwondo, establish a mixed model of taekwondo postures. Through simulation experiments, it has been proven that this study can generate a smooth taekwondo motion model of the human body, which has a positive effect on improving taekwondo performance.

Fields of Study & Subjects

Human Motion and Animation Educational Technology and Pedagogy Human Pose and Action Recognition

Publication details

Journal / source
International Journal of Humanoid Robotics
Publisher
World Scientific Pub Co Pte Ltd
Publication date
31 January 2026
Language
EN