IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v27y2023i1-2p151-164.html
   My bibliography  Save this article

Virtual display of intelligent human-computer interaction products based on attention matrix

Author

Listed:
  • Lin Wang

Abstract

In order to solve the problems of low accuracy and poor effect of gesture recognition in traditional virtual display methods of intelligent human-computer interaction products, an advanced virtual display method of intelligent human-computer interaction products based on attention matrix was proposed. Process involves to determine the NUI interaction mode, select the appropriate motion sensing interaction device Kinect and use this device for gesture recognition. The information of intelligent human-computer interaction products such as gesture recognition results is saved through array. The attention matrix of intelligent human-computer interaction products is established, the virtual display model of intelligent human-computer interaction products is constructed combined with the change of viewpoints, so as to realise the virtual display of products. Experimental results show that the accuracy of the proposed method can be maintained above 80% for difficult gesture recognition, and the accuracy of simple gesture recognition can reach 100% and the virtual display effect of products is good.

Suggested Citation

  • Lin Wang, 2023. "Virtual display of intelligent human-computer interaction products based on attention matrix," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 151-164.
    • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:151-164
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129317
    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:151-164. 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.