Computational Intelligence and Applications of Virtual Reality Technology in Martial Arts Teaching System

Yuning Sun, Yan Liu, Zhao Zhiqiang and Naeem Jan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: Conventional martial arts teaching system has the problem that the interactive teaching mode is not three-dimensional enough, which leads to the slow byte sending speed of the system. In this study, a martial arts teaching system based on virtual reality technology is designed. In the hardware part, 5 V and 3.3 V DC regulated power supply is selected and Ethernet interface and USB for network connection are used. For the software part, according to the different degrees of muscle participation in the completion of the action, the technical characteristics of martial arts action are identified, virtual reality technology is used to build interactive teaching mode, the feedback of proprioceptors is used to adjust martial arts action, the software priority processing function is designed, and the priority of martial arts action frame is improved. The average sending byte speed of the martial arts teaching system in this paper and the other two martial arts teaching systems is 81.391 kb/s, 93.465 kb/s, and 94.557 kb/s, respectively, indicating that the performance of the martial arts teaching system has been improved after the combination of virtual reality technology.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/7154495.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/7154495.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:7154495

DOI: 10.1155/2022/7154495

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().