IDEAS home Printed from https://ideas.repec.org/a/ids/ijgeni/v45y2023i6p503-523.html
   My bibliography  Save this article

Application of blockchain-based data pre-processing algorithm in motion analysis system

Author

Listed:
  • Ting Wang

Abstract

Databases and data warehouses are very susceptible to the intrusion of noisy data. The existence of noisy data has a great impact on the speed and quality of data information mining. This article aims to study a motion analysis system based on blockchain-based data pre-processing algorithms, and proposes the application method of data pre-processing algorithms in motion analysis training. This article analyses related content such as data pre-processing algorithms, sports training, and motion analysis systems, and conducts experiments on a motion analysis system based on blockchain-based data pre-processing algorithms. The experimental results show that the sports analysis system based on the data pre-processing algorithm can analyse the various states of the athletes during the exercise, and can effectively point out some deficiencies in the training process, which is beneficial to improve the training effect of the athletes, especially it is a 7% increase in improving the athlete's maximum physical state value.

Suggested Citation

  • Ting Wang, 2023. "Application of blockchain-based data pre-processing algorithm in motion analysis system," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 45(6), pages 503-523.
  • Handle: RePEc:ids:ijgeni:v:45:y:2023:i:6:p:503-523
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=133805
    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:ijgeni:v:45:y:2023:i:6:p:503-523. 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=13 .

    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.