创新设计中脑电认知的服饰图案与感性意象关联

Correlation between clothing pattern and kansei image based on electroencephalogram cognition in innovation design

为了更好地将民族服饰图案应用于服饰的感性体验创新设计中,针对图案与感性意象的关联性问题,以苗族服饰图案为研究对象,首先确定代表性图案及体现图案感受的感性意象;然后实施基于苗族服饰图案的脑电认知实验,进行脑电认知数据的时频分析和事件相关电位分析,明确出F8电极上的N400成分用于后续研究的脑电指标;接着基于脑电认知数据结合最大互信息系数再次精简感性意象,并与灰色关联法相结合计算图案与感性意象的关联系数,获得图案与感性意象的关联排序。研究结果表明,从用户客观的脑电认知数据中挖掘服饰图案与感性意象的关联排序,能为设计符合预设感性意象的服饰图案提供依据和参考,提升服饰感性创新设计的满意度。

In order to better apply the patterns of ethnic costumes to the kansei experience design of costumes,the patterns of Miao nationality was taken as the object aiming at the problem of matching and correlation between patterns and kansei images.The representative patterns and the kansei images that reflect the feeling of patterns were firstly determined.Then,the electroencephalogram(EEG)image cognition experiment based on Miao nationality’s costume patterns was carried out.After the time-frequency analysis and event-related potential analysis of EEG cognition data,the EEG index for subsequent research,namely the N400 component on the F8 electrode,was determined.After that,kansei images were simplified based on EEG cognitive data combined with maximum mutual information coefficient.Finally,maximum mutual information coefficient and grey correlation were combined to calculate the correlation coefficient between patterns and kansei images,and the correlation sequence between of them was determined.The results showed that mining the correlation order between clothing patterns and perceptual images from the objective EEG cognitive data of users can provide basis and reference for the design of clothing patterns that conform to the preset perceptual images,and improve the satisfaction of clothing perceptual innovation design.