IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v6y2019i1p1576828.html
   My bibliography  Save this article

A mobile application for personal colour analysis

Author

Listed:
  • Hye Rim Hong
  • Young In Kim

Abstract

This study developed a mobile app of the personal colour analysis system, which determines the clothing colours that are harmonized to a user’s personal skin and hair colouring. The mobile application is easy and accurate for non-experts to use, and it employs photographs of a user’s skin and hair colours to automatically calculate and categorize personal colouring instead of using fabrics as an analysing material. The application applies virtual packets of fabric swatches to virtual tee shirts and overlays them on the user’s photographs to obtain a personal colour analysis. Through this process, the application reduces personal time and cost dramatically, and it allows users to analyse their personal colours repeatedly by themselves. This study is expected to establish a framework to advance research on clothing colours. The application is also expected to substantively assist consumers in choosing clothing colours.

Suggested Citation

  • Hye Rim Hong & Young In Kim, 2019. "A mobile application for personal colour analysis," Cogent Business & Management, Taylor & Francis Journals, vol. 6(1), pages 1576828-157, January.
  • Handle: RePEc:taf:oabmxx:v:6:y:2019:i:1:p:1576828
    DOI: 10.1080/23311975.2019.1576828
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2019.1576828
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2019.1576828?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Sparacino, Daniele, 2019. "Funktionsweise und Möglichkeiten von Google Shopping mit einem Fokus auf Showcase Ads," Working Papers for Marketing & Management 42, Offenburg University, Department of Media and Information.
    2. Hyesun Hwang & Su‐Jung Nam, 2021. "Social media use and subjective well‐being among middle‐aged consumers in Korea: Mediation model of social capital moderated by disability," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(4), pages 1352-1372, December.
    3. Juliza Mohamad Arif & Mohd Faizal Ab Razak & Suryanti Awang & Sharfah Ratibah Tuan Mat & Nor Syahidatul Nadiah Ismail & Ahmad Firdaus, 2021. "A static analysis approach for Android permission-based malware detection systems," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-23, September.

    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:taf:oabmxx:v:6:y:2019:i:1:p:1576828. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.