2011
DOI: 10.1007/s00170-010-3144-y
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Rapid parametric design methods for shoe-last customization

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Cited by 17 publications
(6 citation statements)
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“…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.…”
Section: Related Workmentioning
confidence: 99%
“…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.…”
Section: Related Workmentioning
confidence: 99%
“…The model accuracy of the traditional methods is a relative rms over 0.031%. This accuracy is reported by the traditional methods in the references [13], [24], [27]. The surface representation accuracy is calculated by the sum of the model error and the measurement error.…”
Section: Evaluation Of the Plantar Surface Modelmentioning
confidence: 99%
“…More commonly than in footwear, woven textile design research is conducted with a focus on enhancing creative potential. Research has been conducted into the development of single piece woven garments (Piper and Townsend 2016;Bhattacharya and Koranne 2011;Wang et al 2011;and Ng et al 2010). This research contributes to knowledge within the specialism of footwear.…”
Section: Introductionmentioning
confidence: 99%