Sensibility Extraction for Bicycle Design Using RFID Tag-Attached Crayons

  • Ho-Ill Jung
  • Seung-Jin Lee
  • Jeong-Hoon Kang
  • Min-Hyun Kim
  • Jong-Wan Kim
  • Bo-Hyun Lee
  • Eun-Young Cho
  • Kyung-Yong Chung
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

Providing sensibility design using information convergence technology is an important factor in product service strategies. It is possible to ensure future competitiveness in bicycle industries by developing and specializing highly sensibility bicycle design. The necessity arises of creating a sensibility engineering approach to develop products that appeal to a wide variety of customers by stimulating their senses and creating emotional satisfaction. In this paper, we proposed a bicycle design recommendation using RFID tag-attached crayons. The proposed method obtains visual appeal using these RFID tag-attached crayons. Associative color patterns are analyzed using data mining, which extracts conceptual information from the collected data that is not easily exposed. The association can be determined as crayon colors are presented in a specific transaction, and different crayon colors are presented in the same transaction. The association rule represents a strong relationship between color sets. Designing frames, saddles, pedals, wheel sets, tires, cranks, and other parts of a bicycle based on visual sensibility represents a final shape by advancing through an application to a virtual model. By providing bicycle design adapted to one’s own design, it reduces cost and time and makes it possible to apply it to the desired styles.

Keywords

Sensibility engineering Bicycle design Recommendation RFID tags 

Notes

Acknowledgments

This work was supported by the Korea Foundation for the Advancement of Science & Creativity (KOFAC) grant funded by the Korean Government (MEST).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Ho-Ill Jung
    • 1
  • Seung-Jin Lee
    • 1
  • Jeong-Hoon Kang
    • 2
  • Min-Hyun Kim
    • 2
  • Jong-Wan Kim
    • 2
  • Bo-Hyun Lee
    • 2
  • Eun-Young Cho
    • 2
  • Kyung-Yong Chung
    • 3
  1. 1.IS LabSchool of Computer Information Engineering, Sangji UniversityWonju-siKorea
  2. 2.Gangwon Science High SchoolWonju-siKorea
  3. 3.School of Computer Information EngineeringSangji UniversityWonju-siKorea

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