Artificial neural networks in the selection of shoe lasts for people with mild diabetes

Wang, Chung-Chuan; Yang, Ching-Hu; Wang, Chung-Shing; Xu, Dandan; Huang, Bo-Shin

doi:10.1016/j.medengphy.2018.12.014

Cited by 15 publications

(10 citation statements)

References 41 publications

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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%

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

Luo

Wang

Duan

et al. 2023

Preprint

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Digitization is the premise of realizing intelligent manufacturing, and how to promote the informationization of technical resources and demand matching is the key to realize accurate customization of footwear products. Foot-last relationship is the core issue in the process of shoe customization, and most of the previous researches focus on the induction of foot features and classification and the improvement and reconstruction of local parameters of lasts, lacking the research of forming a data-driven full informatization system by linking foot-last model features. Through the research on special cross-section, the inductive construction of bunion foot feature data model and the linking of features of common model of sports shoes last, for example, an all-in-one informationized intelligent identification design system is built, which realizes the shift of traditional footwear design process and data, improves the subjective "empirical" design mode in traditional footwear industry, and provides informationization for It improves the subjective "empirical" design mode in the traditional footwear industry and provides an information-based realization path for footwear precision customization service.

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Section: Related Workmentioning

confidence: 99%

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

Luo

Wang

Duan

et al. 2023

Preprint

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“…However, the solutions proposed in them significantly improve the comfort of use and even slightly improve the visual appearance of this type of footwear. The work of Villarreal-Calva et al [35] developed a footwear model for clubfoot. Clubfoot is a birth defect in which one or both feet are rotated inward and downward [48].…”

Section: Rq2: What Is the Annual Number Of Shoe Last Customization St...mentioning

confidence: 99%

“…This research question aims to acquire knowledge that includes an overview of data acquisition methods for creating a shoe last model. As a rule, this is anthropometric data including basic measurements of the client's feet -lengths, girths, and, in some cases, consideration of biomechanical, ergonomic, and aesthetic parameters [34][35][36][38][39][40]. Data can be acquired manually using a ruler or a Brannock instrument when capturing customer foot measurements.…”

Section: Rq4: Which Research Implements the Last Modeling Based On 3d...mentioning

confidence: 99%

Shoe Last Customization: A Systematic Review

Wrześniowska

2023

Int. j. eng. technol. innov.

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In recent years, there is an increase in research into shoe last customization and topic analysis methods. The work aims to systematically review the literature on the customization of shoe lasts. The method used in this work is to perform a five-phase systematic review algorithm. Data on the research performed are extracted and synthesized from each study: main research objectives, authors, date of publication, journal, or conference in which the article was published, and the quality of each article. The studies included in the review are published between 2018 and 2022. The results of the review are nineteen papers about the process of customization of the shoe last. The conclusions of the analysis indicate that the quality of research has not changed over time, in 2020 there was a decrease in work. Most often, researchers analyze the impact of anthropometric factors on the correct shoe last modeling and methods of shoe last parameterization.

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“…An expert system for the fabrics selection to design transformable clothing based on user's level of quality is developed in Zakharkevich et al (2018). In the area of footwear industry, artificial neural networks (ANN) are used to develop a system for shoe lasts selection with mild diabetes (Wang et al, 2019) and for the estimation of the maximum pressure over the foot plantar surface exerted by a two-layer shoe sole for three distinct phases of the gait cycle (Xidias et al, 2015). Automated foot model reconstruction is accomplished through the use of the self-organizing Growing Neural Gas network (Jimeno-Morenilla et al, 2016).…”

Section: Artificial Intelligence For Design and Manufacturingmentioning

confidence: 99%

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Jimeno-Morenilla

Azariadis

Molina-Carmona

et al. 2021

Computers in Industry

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The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution. Industry 4.0 surfaced to address the current challenges of shorter product life-cycles, highly customized products and stiff global competition. The new manufacturing paradigm supports the development of modular factory structures within a computerized Internet of Things environment. With Industry 4.0, rigid planning and production processes can be revolutionized. However, the computerization of manufacturing has a high degree of complexity and its implementation tends to be expensive, which goes against the reality of SMEs that power the traditional sectors. This paper reviews the main scientific-technological advances that have been developed in recent years in traditional sectors with the aim of facilitating the transition to the new industry standard.

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Artificial neural networks in the selection of shoe lasts for people with mild diabetes

Cited by 15 publications

References 41 publications

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

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

Shoe Last Customization: A Systematic Review

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

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