Cognitive garment design interface using user behavior tree model

Shuang Liang, Eddie C.L. Chan, George Baciu, Rong Hua Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)


An effective user interface helps to hinge on ideas and imagination from fashion designers and most importantly express their artworks with their flair. Shape, material, color, movement and flow - all these qualities give a piece of clothing its uniqueness, and the designer uses drawings to communicate his intentions. Sketches of various views of the garment provide the preliminary clues needed for bulk manufacturing. However, it is very difficult to develop a common user interface platform even as intuitive as sketching interface, since different designers have different senses and habits to work on their drawings. In this paper, we focus on this sketching issues and propose a user behavior tree (UBT) model that helps to return the corresponding shapes according to the preference of user. Also, in the front-tier, we provide a 3D user interface for editing the clothing panels, adjusting the sewing lines and simulating the garment design. Experiment results show the effectiveness and efficiency of the proposed model.
Original languageEnglish
Title of host publicationProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Number of pages5
Publication statusPublished - 13 Dec 2010
Event9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing, China
Duration: 7 Jul 20109 Jul 2010


Conference9th IEEE International Conference on Cognitive Informatics, ICCI 2010

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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