IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v27y2023i1-2p140-150.html
   My bibliography  Save this article

An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm

Author

Listed:
  • Xiaolong Shi

Abstract

There are some problems in the evaluation method of human-computer interaction interface of sports electronic products, such as long evaluation time and relatively accurate evaluation of interactive interface. An evaluation method of human-computer interaction interface of sports electronic products based on Naive Bayes algorithm is proposed. Determined by Fisher method choice, sports man-machine interface evaluation index of electronic products and through the MRMR method the product interface evaluation indices' redundant data is eliminated. Through comprehensive evaluation matrix calculate weight of the man-machine interface evaluation index membership degree, with the help of Naive Bayes algorithm to calculate weight evaluation index of discrete. The comprehensive evaluation model of human-computer interaction interface is constructed to complete the evaluation of human-computer interaction interface of sports electronic products. Experimental results show that the shortest evaluation time of the proposed method is about 31 s, and the evaluation accuracy is always higher than 90%.

Suggested Citation

  • Xiaolong Shi, 2023. "An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 140-150.
  • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:140-150
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129316
    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:140-150. 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.