A customized garment collaborative design process by using virtual reality and sensory evaluation on garment fit

Tao, Xuyuan; Chen, Xiao; Zeng, Xiaoyang; Koehl, Ludovic

doi:10.1016/j.cie.2017.10.023

Cited by 36 publications

(26 citation statements)

References 11 publications

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“…The products that have the highest relation with the positively scored or rated items are generally recommended to users. The content-based technique uses different kinds of models to explore the similarity between items to generate a meaningful recommendation, which is the main distinctive feature between content-based and collaborative filtering techniques [179,180]. These machine-learning techniques propose recommendations by learning the core or foundations of the underlying model.…”

Section: Content-based Filtering (Cbf) Techniquementioning

confidence: 99%

Fashion Recommendation Systems, Models and Methods: A Review

et al. 2021

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In recent years, the textile and fashion industries have witnessed an enormous amount of growth in fast fashion. On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required to sort, order, and efficiently convey relevant product content or information to users. Image-based fashion recommendation systems (FRSs) have attracted a huge amount of attention from fast fashion retailers as they provide a personalized shopping experience to consumers. With the technological advancements, this branch of artificial intelligence exhibits a tremendous amount of potential in image processing, parsing, classification, and segmentation. Despite its huge potential, the number of academic articles on this topic is limited. The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques. To the best of the authors’ knowledge, this is the first scholarly article to review the state-of-the-art fashion recommendation systems and the corresponding filtering techniques. In addition, this review also explores various potential models that could be implemented to develop fashion recommendation systems in the future. This paper will help researchers, academics, and practitioners who are interested in machine learning, computer vision, and fashion retailing to understand the characteristics of the different fashion recommendation systems.

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Section: Content-based Filtering (Cbf) Techniquementioning

confidence: 99%

Fashion Recommendation Systems, Models and Methods: A Review

et al. 2021

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“…1,6 Most of the research concerns the design and marketing departments, 1,6,27,31,32 and rarely concerns the manufacturing department. 29,30 As we know, each garment is commonly composed of several patterns. The customization of the garment is indeed the customization of the associated patterns, which are the operation objects in the garment cutting-related processes.…”

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confidence: 99%

“…Thus, the methods proposed in our study are centered on pattern variations in the two above-mentioned aspects. As reported, 29,30,33 advanced technologies such as virtual reality, 3D body scanning, and computer-aided design/ manufacturing are adopted to aid personalized pattern design and the automatic single cut for mass customization, which is not an economic approach for manufacturers. The more inclined to mass production the mass customization is, the more significant the economic benefit it brings.…”

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confidence: 99%

“…Herein, we propose several methods mainly considering the sizing process and the cutting process of garment manufacturing in regard to their performances for personalization and economy. Through the literature study, it is found that custom-fit [27][28][29][30] and co-design [31][32] are two main categories of garment personalization. 1,6 Most of the research concerns the design and marketing departments, 1,6,27,31,32 and rarely concerns the manufacturing department.…”

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Garment mass customization methods for the cutting-related processes

Thomassey

Zeng

2020

Textile Research Journal

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In the garment industry, upgrading from mass production to mass customization is imperative, due to ever-changing fashion trends and customers’ increasing personal demands. Based on pattern variations, several practical mass customization methods in terms of custom-fit and co-design are developed in this study for cutting-related processes (i.e. the sizing process and the cutting process). The increment of size number by generating additional sizes and the expansion of size capacity by setting multi-sized darts are two custom-fit methods, while material (fabric) variation by spreading “rainbow plies” and module variation by making a stepwise cutting are two co-design methods. Compared with existing mass customization methods mainly related to the garment design processes, the proposed methods emphasize the garment manufacturing processes in order to resolve the conflict between personalization and cost. A case study on the women’s basic straight skirt is conducted for the performance evaluation (about personalization and cost) of the proposed methods. The experimental results demonstrate the ability of these methods to significantly raise the personalization level with an acceptable price in garment customization. This study provides a reference for garment manufacturers to make proper production strategies, enabling garment mass customization.

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“…The evaluation of apparel comfort, fit, and virtual performance are hot research topic now. 19 Most researchers cannot control and change the properties of virtual textile materials or the dimensions of body morphology under try-on simulation, so it is difficult to control the fit of e-apparel. 20 Some designers only adjust the 2D apparel pattern block according to the visual effect displayed in the 3D simulation system, which is usually used in loose clothing design.…”

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confidence: 99%

A digital replica of male compression underwear

Cheng

Kuzmichev

Adolphe

2019

Textile Research Journal

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With the development of society and increasing demands, the design of male underwear should conform to human ergonomics. However, some special delicate aspects related to morphological features of the male body need to use computer technologies for generating a digital replica of real bodies, with textile materials instead of real objects from the perspective of satisfying increasing needs. This article aims to apply three-dimensional (3D) simulation technology in compression clothes design. We have proposed the method of material precision simulation, body avatar establishment, and virtual underwear design. In this study, multiple 3D software to establish avatars of male bodies with different morphological features are used first. Secondly, the conversion of the Kawabata Evaluation System for Fabrics results in a digital library of knitted materials to be explored, which are mainly based on elastic characteristics and compression performances. Then, we conducted a series of try-on tests with average size avatars, which are created using 3D scanning technology, and evaluated the pressure and comfort using a new method we recommended. Finally, the results of the virtual and actual tests are compared. All digital replicas achieve the same results as the real ones. This study can promote the application of 3D simulation technology in male compression underwear design by operating a digital replica instead of real objects.

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A customized garment collaborative design process by using virtual reality and sensory evaluation on garment fit

Cited by 36 publications

References 11 publications

Fashion Recommendation Systems, Models and Methods: A Review

Fashion Recommendation Systems, Models and Methods: A Review

Garment mass customization methods for the cutting-related processes

A digital replica of male compression underwear

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