Data-Driven Shoe Last Generation Based on Preference-Aware Gan

Research on Footwear Information System based on Matching Foot Type Characteristics and Common Data of Shoe Lasts

“…In the research of shoe lasts, Xiong,SP et al [8]collected 18 characteristic parameters of user's foot through CAD system, and adjusted the last shape of existing shoes through the characteristic parameters to finally achieve the purpose of customized production.Luximon,A et al [9]and Wang,J et al [10]made local modifications to the last parameters according to the biomechanical characteristics of the foot on the basis of reverse engineering, which increased the foot comfort while reducing the development cycle of the last.Huang,S et al [11]proposed a data-driven generative adversarial network(GAN)3D shoe last generation framework based on a subjective comfort evaluation approach.Mishra,MK et al [12]modeled the shoe last in a virtual environment to optimize the 3D cushioning margin between the foot and the last.Wang,CC et al [13]used reverse engineering to scan the sugar foot and last and calculated the correlation between perimeter weights and last with the help of AHP and grey correlation analysis (GRA).Table 2-1 shows some of the research results in the field of foot, last and shoe. Chen,X et al [15]used 3D free-form surface technique for inverse reconstruction of shoe last surfaces.…”