RETRACTED ARTICLE: Simulation of optical imaging detection based on virtual reality assisted technology in intelligent assistance system for martial arts actions

• Published in: Optical and quantum electronics Vol. 56; no. 2
• Main Authors: Maotang, Wu, Zhifeng, Su, Mingyong, Wan
• Format: Journal Article
• Language: English
• Published: New York Springer US 2024; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Characterization and Evaluation of Materials; Computer Communication Networks; Electrical Engineering; Environment models; Feedback; Imaging techniques; Lasers; Martial arts; Motion perception; Optical Devices; Optics; Photonics; Physics; Physics and Astronomy; Simulation; Skills; Virtual reality; Assistive technology; Wushu action; Intelligent auxiliary system; Optical imaging detection; Virtual reality
• ISSN: 0306-8919; 1572-817X
• DOI: 10.1007/s11082-023-05872-9

Virtual reality technology has been widely used in several fields, including sports and sports. As a traditional sport, Wushu requires high precision of skills and movements. Therefore, the use of virtual reality technology to intelligently assist the simulation of martial arts movements has great potential. The purpose of this study is to develop an intelligent assistant system for martial arts movement detection based on virtual reality technology, so as to improve the skill and movement accuracy of martial arts learners. The optical imaging technique is used to capture and record martial arts movements. Then the captured data is input into the virtual reality simulation system, the virtual reality technology is used to create character models and environmental scenes, and the martial arts action is simulated in the virtual scene. Finally, intelligent algorithms are used to analyze and evaluate virtual simulated actions, providing feedback and guidance to learners. The experimental results show that the use of light imaging based on virtual reality can effectively improve the accuracy of martial arts learners' skills and movements. Learners can find and correct their own movement problems by comparing and feedback with simulated movements in the virtual scene.