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Shoe Recommendation System by Measurement of Foot Shape Image

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(9), pp.93-104
  • DOI : 10.9708/jksci.2023.28.09.093
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 26, 2023
  • Accepted : September 7, 2023
  • Published : September 27, 2023

Chang Bae Moon 1 Byeong-Man Kim 2 Young-Jin Kim 3

1한국폴리텍 VII 대학 창원캠퍼스
2금오공과대학교
3한국폴리텍VII대학(창원캠퍼스)

Accredited

ABSTRACT

In modern society, the service method is tended to prefer the non-face-to-face method rather than the face-to-face method. However, services that recommend products such as shoes will inevitably be face-to-face method. In this paper, for the purpose of non-face-to-face service, a system that a foot size is automatically measured and some shoes are recommended based on the measurement result is proposed. To analyze the performance of the proposed method, size measurement error rate and recommendation performance were analyzed. In the recommendation performance experiments, a total of 10 methods for similarity calculation were used and the recommendation method with the best performance among them was applied to the system. From the experiments, the error rate the foot size was small and the recommendation performance was possible to derive significant results. The proposed method is at the laboratory level and needs to be expanded and applied to the real environment. Also, the recommendation method considering design could be needed in the future work.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.