IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v15y2022i3p1-12.html
   My bibliography  Save this article

Design of Remote Fitting Platform Based on Virtual Clothing Sales

Author

Listed:
  • Miao Yu

    (Shanghai Business School, China)

Abstract

To improve the convenience and effect of fitting process, an online fitting system of user-personalized body type based on the virtual technology is put forward. Firstly, develop the fitting system with Java as the development language, and construct the human model, spinning motion model and virtual clothing model; then, divid the relevant model creation based on the body, generate the personalized body type, and design the slab model, represented by triangular patch, while all points in same one gender model keep the spatial position relation with each other to simplify the interpolation process; finally, verify the efficiency of developed system through the factor analysis and cluster fitting design.

Suggested Citation

  • Miao Yu, 2022. "Design of Remote Fitting Platform Based on Virtual Clothing Sales," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(3), pages 1-12, July.
    • Handle: RePEc:igg:jisscm:v:15:y:2022:i:3:p:1-12
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.290019
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Govindan, Kannan & Jain, Preeti & Kr. Singh, Rajesh & Mishra, Ruchi, 2024. "Blockchain technology as a strategic weapon to bring procurement 4.0 truly alive: Literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).

    More about this item

    Statistics

    Access and download statistics

    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:igg:jisscm:v:15:y:2022:i:3:p:1-12. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.