A method for emotional model construction oriented to industrial designer sketch recognition

Xuerui Li, Suihuai Yu, Qun Wang, Chenguang Wen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Learning from methods of sketch research in computer image retrieval area at present, the aim of this paper is to research sketch based on industrial designers' kansei image to improve the efficiency and accuracy of the sketch design. a feature extraction method is proposed for industrial design sketch according to the influence of product eigenstructure lines on product form and stream line form, conducts thorough statistical analysis of kansei image contained in the sketch feature samples combined with the Fuzzy-AHP method, and builds an emotional model for industrial designers sketch recognition, to guide the designer to express feelings adequately in the process of drafting.

Original languageEnglish
Title of host publicationProceedings - 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages480-483
Number of pages4
ISBN (Electronic)9781509007684
DOIs
StatePublished - 13 Dec 2016
Event8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016 - Hangzhou, Zhejiang, China
Duration: 11 Sep 201612 Sep 2016

Publication series

NameProceedings - 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016
Volume1

Conference

Conference8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016
Country/TerritoryChina
CityHangzhou, Zhejiang
Period11/09/1612/09/16

Keywords

  • Industrial design
  • Kansei quantitative
  • Modeling rules
  • Sketch emotion

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