IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v27y2023i1-2p15-27.html
   My bibliography  Save this article

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

Author

Listed:
  • Yang Shen

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.

Suggested Citation

  • Yang Shen, 2023. "Gesture interactive recognition method of moving equipment based on virtual reality technology," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 15-27.
  • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:15-27
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129307
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:15-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=36 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.