东南大学学报（英文版）2022，Vol.38Issue(1)：49-55,7.DOI:10.3969/j.issn.1003-7985.2022.01.008
基于INMDS算法的皮革纹理触觉感知空间度量分析
Metrics analysis of tactile perceptual space based on improved NMDS for leather textures
摘要
Abstract
To solve the fuzzy and unstable tactile similarity relationship between some sample points in the perception experiment,an improved non-metric multidimensional scaling(INMDS)is proposed in this paper.In view of the inconsistency of each sample's contribution,the maximum marginal decision when constructing the perception space to describe the tactile perception characteristics is also proposed.The corresponding constraints are set according to the degree of similarity,and controlling the relaxation variable factor is proposed to optimize the perception dimension and coordinate measurement.The effectiveness of the INMDS algorithm is verified by two perception experiments.The results show that compared with the metric multidimensional scaling(MDS)and non-metric multidimensional scaling(NMDS)algorithms,the perceptual space constructed by INMDS can more accurately reflect the difference relationship between different leather sample points perceived by people.Moreover,the relative position of sample points in the perceptual space is more consistent with subjective perception results.关键词
触觉/触觉感知/感知空间/非度量多维尺度分析Key words
haptic/tactile perception/perceptual space/non-metric multidimensional scaling分类
信息技术与安全科学引用本文复制引用
黄戈文,何聪,吴涓,王飞..基于INMDS算法的皮革纹理触觉感知空间度量分析[J].东南大学学报（英文版）,2022,38(1):49-55,7.基金项目
The National Key R&D Program of China(No.2018AAA0103001),the National Natural Science Foundation of China(No.62073073). （No.2018AAA0103001）
