2017 年 63 巻 5 号 p. 131-139
The 3D curved surface shapes of tight and flared skirts were predicted precisely by the angle curvatures (concentrated Gaussian curvature Kc, concentrated geodesic curvature kc, and concentrated mean curvature Hc), model sizes, skirt designs, and fabrics. All of the 72 skirts, encompassing 3 female body models (mean body sizes of Japanese women in their 20s, 40s, and 70s), 6 kinds of fabrics, tight skirts, and 3 kinds of flared skirts, were investigated with attention to the differences of the curved surface shapes in detail. It has been found that it is possible to predict the number of nodes on hemlines for these 72 skirts with the three totalized feature factors, |Σ±Kc|+|Σ±kc|, |Σ±Hc|, and weight (g/cm2) × hemline length (cm), underlying the physical properties of fabric and model sizes, based on slightly high or high correlation coefficients (r = 0.73 to r = 0.93). Therefore, the number of nodes on hemlines of these 72 skirts can be calculated by these three totalized feature factors using a multiple regression analyzing technique, (multiple regression coefficient R = 0.96), based on higher prediction accuracy.
