Paper
16 February 2022 An automatic matching interactive and visualization system for virtual martial arts
Yuqing Zeng, Mingliang Cao, Haoyang Zhang, Yong Zhong
Author Affiliations +
Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120832A (2022) https://doi.org/10.1117/12.2623402
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
An automatic matching interactive and visualization system for virtual martial arts is proposed in this paper. The system is developed to improve the user's interest in the intangible cultural heritage of martial arts. Four basic actions in Wing Chun are designed as an example. The body joint coordinate information retrieval is employed to estimate the matching degree between the player's and template actions. We visualize the user's hand movement data according to the speed. The results of user study show that the system is helpful for the beginner to understand martial arts, and it also attracts the user's curiosity and indirectly improves the user's interest in martial arts. Moreover, the system is relatively comfortable in usability, because the movement is captured by the Kinect, which has little restraints on the user's body.
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Yuqing Zeng, Mingliang Cao, Haoyang Zhang, and Yong Zhong "An automatic matching interactive and visualization system for virtual martial arts", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120832A (16 February 2022); https://doi.org/10.1117/12.2623402
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KEYWORDS
Visualization

Virtual reality

Information visualization

Visual analytics

Cultural heritage

Motion analysis

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