[1] Huang Gewen, He Cong, Wu Juan, Wang Fei, et al. Metrics analysis of tactile perceptual space basedon improved NMDS for leather textures [J]. Journal of Southeast University (English Edition), 2022, 38 (1): 49-55. [doi:10.3969/j.issn.1003-7985.2022.01.008]
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Metrics analysis of tactile perceptual space basedon improved NMDS for leather textures(
)
基于INMDS算法的皮革纹理触觉感知空间度量分析
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 38
- Issue:
- 2022 1
- Page:
- 49-55
- Research Field:
- Computer Science and Engineering
- Publishing date:
- 2022-03-20
Info
- Title:
- Metrics analysis of tactile perceptual space basedon improved NMDS for leather textures
- 基于INMDS算法的皮革纹理触觉感知空间度量分析
- Author(s):
- Huang Gewen; He Cong; Wu Juan; Wang Fei
- School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
- PACS:
- TP391
- DOI:
- 10.3969/j.issn.1003-7985.2022.01.008
- 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.
- 为了解决感知实验中样本点间的触觉相似度关系模糊且不稳定的问题, 提出了一种改进的非度量型多维尺度变换(INMDS)算法.在构建描述触觉感知特征的感知空间时, 引入距离相近最大边际决策.根据相似度大小设定相应的约束条件, 通过控制松弛变量因子来优化感知维度和坐标度量, 并利用2个感知实验来验证INMDS算法的有效性.结果表明, 与度量型多维尺度变换(MDS)和非度量型多维尺度变换(NMDS)算法相比, 所提方法构建的感知空间能更准确地反映人所感知的不同皮革样本点的差异度关系, 且感知空间中样本点的相对位置与主观感知结果更加一致.
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Memo
- Memo:
-
Biographies: Huang Gewen(1998—), female, graduate; Wu Juan(corresponding author), female, doctor, professor, juanwuseu@seu.edu.cn.
Foundation items: The National Key R&D Program of China(No.2018AAA0103001), the National Natural Science Foundation of China(No.62073073).
Citation: Huang Gewen, He Cong, Wu Juan, et al. Metrics analysis of tactile perceptual space based on improved NMDS for leather textures[J].Journal of Southeast University(English Edition), 2022, 38(1):49-55.DOI:10.3969/j.issn.1003-7985.2022.01.008.