A novel evaluation technique for human body perception of clothing fit

Liu, Kaixuan; Zhu, C.; Tao, Xuyuan; Bruniaux, Pascal; Zeng, Xianyi; Wang, J. P.

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1007/s11042-023-14530-x

Permalink :

http://hdl.handle.net/20.500.12210/84979

Title :

A novel evaluation technique for human body perception of clothing fit

Author(s) :

Liu, Kaixuan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zhu, C. [Auteur]
Tao, Xuyuan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Bruniaux, Pascal [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zeng, Xianyi [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Wang, J. P. [Auteur]

Journal title :

Multimedia Tools and Applications

Abbreviated title :

Multimed. Tools Appl.

Volume number :

Pages :

21057–21069

Publication date :

2023-06

ISSN :

1380-7501

English keyword(s) :

Fit evaluation
Decision tree C4
5
Machine learning
Fashion design
Data learning

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

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. ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

Génie des matériaux textiles (GEMTEX) - ULR 2641

Submission date :

2023-06-20T12:12:18Z
2024-02-20T09:55:02Z

Version	Link	Modification date
2	20.500.12210/84979*	2024-02-20T09:52:10Z
1	20.500.12210/84979.1	2023-06-20T12:12:18Z

A novel evaluation technique for human ...

BibTeX

CSV

Excel

RIS

Version history

A novel evaluation technique for human ... BibTeX CSV Excel RIS

Version history

A novel evaluation technique for human ...

BibTeX

CSV

Excel

RIS