Research on winter sportswear comfort and ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Research on winter sportswear comfort and its visual model
Author(s) :
Cheng, Pengpeng [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Wang, J. P. [Auteur]
Zeng, Xianyi [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Bruniaux, Pascal [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Tao, Xuyuan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Chen, D. L. [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Wang, J. P. [Auteur]
Zeng, Xianyi [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Bruniaux, Pascal [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Tao, Xuyuan [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Chen, D. L. [Auteur]
Journal title :
The Visual Computer
Abbreviated title :
Visual Comput.
Volume number :
39
Pages :
4371–4389
Publication date :
2023-09
ISSN :
0178-2789
English keyword(s) :
Tight sportswear
Sport comfort
Intelligent prediction model
Visualization
Sport comfort
Intelligent prediction model
Visualization
HAL domain(s) :
Sciences de l'ingénieur [physics]
English abstract : [en]
In order to study the comfort of tight-fitting sportswear in winter, this paper designed a series of motions, and explored the distribution of comfort perception under different sports conditions by evaluating the wearing ...
Show more >In order to study the comfort of tight-fitting sportswear in winter, this paper designed a series of motions, and explored the distribution of comfort perception under different sports conditions by evaluating the wearing perception of human body. Finally, through the acquired experimental data, intelligent prediction models were established, and the prediction results were visualized, which makes the comfort distribution more intuitive. The results show that there are great differences in the parts that affect the overall comfort perception under different sports conditions; different ages subjects have different perceptions of comfort; Particle Swarm Optimization-Cuckoo Search-Adaptive Network-based Fuzzy Inference System has better prediction accuracy, and could replace the wearing trials.Show less >
Show more >In order to study the comfort of tight-fitting sportswear in winter, this paper designed a series of motions, and explored the distribution of comfort perception under different sports conditions by evaluating the wearing perception of human body. Finally, through the acquired experimental data, intelligent prediction models were established, and the prediction results were visualized, which makes the comfort distribution more intuitive. The results show that there are great differences in the parts that affect the overall comfort perception under different sports conditions; different ages subjects have different perceptions of comfort; Particle Swarm Optimization-Cuckoo Search-Adaptive Network-based Fuzzy Inference System has better prediction accuracy, and could replace the wearing trials.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
ENSAIT
Junia HEI
ENSAIT
Junia HEI
Collections :
Submission date :
2023-06-20T12:06:24Z
2024-02-21T11:22:22Z
2024-02-21T11:22:22Z