Gesture interactive recognition method of moving equipment based on virtual reality technology

Yang Shen

International Journal of Product Development, 2023, vol. 27, issue 1/2, 15-27

Abstract: The existing interactive recognition methods for gesture recognition of moving equipment have poor recognition effect and low recognition accuracy, which lead to some limitations of gesture interactive recognition. Therefore, a gesture interactive recognition method for moving equipment based on virtual reality technology is proposed. Firstly, we collect and divide the hand gesture features of sports equipment, analyse the common hand gesture categories of sports equipment, and use virtual reality technology to pre-process the hand gesture interactive recognition data of sports equipment. After pre-processing, we complete the hand gesture interactive recognition of sports equipment based on virtual reality technology. The experimental results show that the accuracy of gesture recognition is more than 95%, and that of complex gesture recognition is more than 93%. Compared with the existing gesture recognition methods, this method has higher effectiveness and recognition accuracy, which fully meets the research requirements.

Keywords: virtual reality; sports equipment; gesture interaction; gesture recognition. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.inderscience.com/link.php?id=129307 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijpdev:v:27:y:2023:i:1/2:p:15-27

Access Statistics for this article

More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().