DocumentCode :
2603749
Title :
A Multiple Regression Model for Predicting Comfort Sensation of Knitted Fabric in Sports Condition Based on Objective Properties
Author :
Li, Min ; Li, Dong-Ping ; Zhang, Wei-Yuan ; Tang, Xiao-Zhong
Author_Institution :
Fashion Design & Eng. Dept., Donghua Univ., Shanghai, China
Volume :
3
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
372
Lastpage :
375
Abstract :
Clothing comfort is a state of satisfaction indicating physiological, psychological and physical balance among the person. Though objective experiments are easy to measure, subjective experiment is rated an end-use performance test to collect the comfort sensation of wears. In this paper, objective and subjective experiment have been done with 20 knitted fabric samples. Objective experiments includes thermal insulation, touch feeling of warm or cool Q-max, air permeability, water-vapor permeability, wicking, moisture regain rate, evaporation rate experiment. Subjective experiment with four processes is taken and questionnaire is designed to test comfort sensation of knitwear fabric. Based on experimental data, a multiple regression model for predicting comfort sensations of knitted fabric in sports condition with objective properties is established.
Keywords :
ergonomics; evaporation; fabrics; moisture; permeability; regression analysis; sportswear; air permeability; clothing comfort; comfort sensation prediction; evaporation rate; knitted fabric; moisture regain rate; multiple regression model; objective properties; sports; thermal insulation; water-vapor permeability; Clothing; Cotton; Fabrics; Insulation; Permeability; Predictive models; Psychology; Testing; Thermal resistance; Yarn; comfort sensation; factor; knitted fabric; multiple regression; objective property;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.299
Filename :
5168882
Link To Document :
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