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A novel evaluation technique for human body perception of clothing fit

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Abstract

Fit evaluation plays an important role in garment products development and sales. Effective clothing fit evaluation methods can reduce the development cost of apparel products and the return rate of online apparel sales. In this research, we proposed an intelligent fit evaluation technology to predict clothing fit. The mathematical relationship model between clothing fit levels and indexes reflecting the clothing fit levels was constructed by using decision tree C4.5 algorithm. Then, two experiments were carried out to collect input and output training data. After learning from the collected data, the proposed model can predict clothing fit accurately. Next, we validated our proposed model’s prediction accuracy using K-fold cross validation. Finally, we gave two applications of the proposed model for clothing products development and shopping online. Results show that our proposed method has high prediction accuracy and less requirement for the number of learning samples, and can predict clothing fit automatically and rapidly without real try-on.

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Data availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Funding

This paper was financially supported by the National Natural Science Foundation of China (No. 61806161), the Natural Science Basic Research Program of Shaanxi Province, China (No. 2019JQ-848), the Innovation Ability Support Plan of Shaanxi Province-young Science and Technology Star Project, China (No. 2020KJXX-083), China and the Youth Innovation Team of Shaanxi Universities, China.

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Authors and Affiliations

  1. Apparel and Art Design College, Xi’an Polytechnic University, Xi’an, 710048, China

    Kaixuan Liu & Chun Zhu

  2. Shanxi Key Laboratory of Intelligent Clothing Design, Xi’an Polytechnic University, Xian, 710048, China

    Kaixuan Liu

  3. GEMTEX Laboratory, ENSAIT, 59100, Roubaix, France

    Kaixuan Liu, Xuyuan Tao, Pascal Bruniaux & Xianyi Zeng

  4. College of Fashion and Design, Donghua University, Shanghai, 200051, China

    Chun Zhu & Jianping Wang

Authors
  1. Kaixuan Liu
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  2. Chun Zhu
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  3. Xuyuan Tao
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  4. Pascal Bruniaux
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  5. Xianyi Zeng
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  6. Jianping Wang
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Correspondence to Kaixuan Liu.

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Liu, K., Zhu, C., Tao, X. et al. A novel evaluation technique for human body perception of clothing fit. Multimed Tools Appl 82, 21057–21069 (2023). https://doi.org/10.1007/s11042-023-14530-x

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  • DOI: https://doi.org/10.1007/s11042-023-14530-x

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