Metrics analysis of tactile perceptual space based on improved NMDS for leather textures.

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. [ABSTRACT FROM AUTHOR]