摘要
为准确评估服装接触舒适性,提出了一种基于卷积神经网络的针织材质服装接触舒适性评估方法。采用卷积神经网络挖掘各个评估指标的数据特征,用数量估计法分析相关矩阵中的不同因子,获取触压舒适性和穿着感觉之间的相关系数,以此为依据构建针织材质服装接触舒适性评估体系,完成接触舒适性评估。实验结果表明,所提方法可以有效评估接触舒适性,同时还可以有效减少评估时间。
In order to accurately evaluate the contact comfort of clothing contact pressure method,a contact comfort evaluation method of knitted clothing contact pressure method based on convolution neural network was proposed.The convolutional neural network is used to mine the data characteristics of each evaluation index,and the quantitative estimation method in psychology is used to analyze different factors in the correlation matrix to obtain the correlation coefficient between trigger comfort and wearing feeling.Based on this,the evaluation system of contact comfort of knitted clothing with contact pressure method is constructed,and the evaluation of contact comfort is completed.The experimental results show that the proposed method can effectively evaluate the contact comfort and reduce the evaluation time.
作者
侯霞
HOU Xia(School of New Materials and Shoes&Clothing Engineering,Liming Vocational University,Quanzhou 362000,China)
出处
《河南工程学院学报（自然科学版）》
2023年第3期18-22,共5页
Journal of Henan University of Engineering：Natural Science Edition
基金
鞋服产品结构创新与功能研发协同创新平台(PT21003/0301)。
关键词
卷积神经网络
针织材质服装
接触舒适性
convolutional neural network
knitted garments
contact comfort
