Author(s)

Yitian Zhu ¹, Ruilin Li ¹, Ruiliang Guo ¹

Affiliation(s)

¹ School of Fashion Design & Engineering, Beijing Institute of Fashion Technology, Beijing, China

Corresponding Author

Ruiliang Guo

ABSTRACT

Based on the pattern-matching database of field body fitting records, this paper analyzes the male body data and matched shirt size. The Vervaeck index, which comprehensively reflects the body shape, is used to modify the feature parts, and the weight contribution rate of each featuring part is determined by using BP neural network. The fit evaluation function with high adaptability to various body types is established to recommend shapes. The specification recommendation result is quick and accurate and has certain practical significance.

KEYWORDS

Size Recommending, The Vervaeck Index, Weight Contribution Rate

CITE THIS PAPER

Yitian Zhu, Ruilin Li, Ruiliang Guo, Study on Size Recommendation of H-Silhouette Men's Shirt. Industrial Engineering and Innovation Management (2023) Vol. 6: 52-60. DOI: http://dx.doi.org/10.23977/ieim.2023.060907.

REFERENCES

[1] Shan Yufu. (2011)Research on the fit of clothing based on the fit preference of young women. Tiangong University.
[2] Zhou Jie, Li Jian. (2019). Application of grey relational analytic hierarchy process in the recommendation of garment size. Wool Textile Journal, 47(6):1-5.
[3] Wu Jianping. (2003). The Matching Principle of Bodily Form and Garment Size Series and Its Application in Garment Electronic Commerce. Journal of Donghua University, Natural Science.
[4] Zhu Heng. (2009). The Type Filing for Garment Size Type Based on the Lot Custom-Made. Journal of Donghua University.
[5] Dong Miao, Hao Kuangrong, Ding Yongsheng. (2010). Optimal Selection of Garment Sizes Expert System Based on Fuzzy Neural Networks. Microcomputer Application, 26(03):21-23+26+69-70.
[6] Zheng Aihua. (2010). Study on size recommending of clothing methods based on back propagation neural networks. Zhejiang Sci-tech University.
[7] Zhe Ren. (2013). Algorithm Research of Recommendation System of Clothing Sizes. Shanxi University of Science and Technology.
[8] Chen Yuexing. (2015). Research on Bra Pattern Design and Evaluation Methods for Digital Made to Measure. Xi’an Polytechnic University.
[9] GB/T 22187-2008, General Requirements for Establishing Anthropometric Databases. Beijing: China Quality and Standars Publishing & Midia Co., Ltd, 2009.
[10] Sun Jie. (2013). Research of Body Type and Size Classify Approach Based on Natural Network Ensemble. Zhejiang Sci-tech University.
[11] Yu Chen. (2020). Classification and Recognition Model of Young Female Upper Body Shape Based on Curve Features of Human Body Surface. Beijing Institute of Fashion Technology.
[12] Liu Tingting. (2020). Regional body shape analysis of young women and fast fashion type matching optimization. Wool Textile Journal, 48(2):45-49
[13] Lu Wendai. (2008). SPSS for Windows Statistical analysis. Beijing: Publishing House of Electronics Industry, 140-143.
[14] Yuan Huifen, Wang Xu, Qi Xueliang, Liu Xinhua. (2018). Investigation on Mass Customization Classification by Artificial Neural Network. Journal of Wuhan Textile University, 31(03):41-45.
[15] Li Zuoyong, Ding Hengkang, Ding Jing. (2004). A Model of Sources Apportionment of Atmospheric Particulates Based on Weight Analysis of Networks. Journal of Sichuan University (Natural Science Edition), (05):1026-1029. 

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