Evaluation and prediction of clothing comfort based on psychological perceptions

Based on N·R·S·Hollies′ psychological scaling,a new psychological scaling was developed and applied to evaluate clothing comfort through wearer trial.Three independent perceptional factors(thermal and moisture sensibility comfort,tactile sensibility comfort and pressure sensibility comfort) were extracted from the complex psychologically perceptional reaction by means of factor analysis.The correlation between the perceptional factor and the entire comfort perception was analyzed,and the predicting model of clothing comfort was established by using the linearity statistical analysis and BP neural networks.The results indicated that the contribution rate of thermal and moisture sensibility comfort,tactile sensibility and pressure sensibility to the entire comfort perception are 33.695%,29.114% and 17.011% respectively.Ten descriptive terms for perception are presented.The accuracy of prediction of BP neural networks model is higher than that of factor analysis.