The 3D curvature gaps (3D-gaps) between the 3D-dummy and 3D-body curved surface shapes of adult males and females (a total of 2,528 models) were automatically extracted using the four curvature angle values in each of the 10 areas regardless of size. The 3D-gap values were useful common information data for the 3D custom-made garment design and sewing in both models. In the case of tight-fitting garment design based on the 3D-dummy, the 3D-gap features of the four curvature values represented differences between the female- and male-dominated clusters in the chest, abdomen, and buttocks areas. In the female-dominated clusters, the 3D-gap in the chest areas tends to be high, while the 3D-gaps in the abdomen and buttocks areas tend to be high in the male-dominated clusters. The 3D-gap features in the slightly older female-dominated clusters show more complexity in many areas. The slightly younger male-dominated clusters extracted the 3D-gap features in each area. Although the number of both models was few, the 3D-gap in the back area was high in the older male and female common clusters. Using the 3D-gaps, we were able to numerically extract differences in the 3D-body curved surface shapes in the garment design.

The aim of this study was to clarify the relationship between tactile sensation and physical properties of instrument panel material by applying the method of objective fabric hand evaluation. Physical properties of samples were measured, and subjective evaluation of tactile sensation was conducted by forty-four subjects. The subjects were divided into two clusters based on the subjective evaluation results, and the differences in the tactile evaluation criteria for each cluster were discussed. The results of the multiple regression analysis indicated that softness and elastic feel were related to compressional properties, while roughness was strongly related to surface roughness property. Surface roughness, softness, and elastic feel contributed significantly to the total tactile evaluation. Emboss patterns influenced surface roughness, and types of material polymer affected compressional properties. Furthermore, the two clusters differed in their evaluation of the appropriate roughness and softness, indicating differences in preferences.