{"title":"Fit models’ roles in identifying fit issues in the apparel technical design process and implications for improving 3D virtual fitting","authors":"Yoon Yang, Fatma Baytar","doi":"10.1186/s40691-024-00398-4","DOIUrl":"10.1186/s40691-024-00398-4","url":null,"abstract":"<div><p>Fit sessions are essential in making well-fitted clothing. During these sessions, apparel fit is determined iteratively by a team of designers, technical designers, fit models, and merchandisers. With the advent of the digitalization of new product development processes in the fashion industry, fit sessions have been seen as a bottleneck for they are still held in person. However, the process is currently still irreplaceable, and what makes the feedback provided by fit models important is an area that has never been tapped. Therefore, the present study aimed to understand fit models’ role in fit sessions as well as how they assess the fit of garments and deliver their feedback. On-site observation during fit sessions and individual interviews with fit models were conducted. It was found that fit models gave comfort, fit, and tactile comments by testing garments while standing and moving between several postures. They had knowledge that overlapped with those of technical designers and designers and this empowerment enabled them to take part in the decision-making process in fit sessions. It also was found that fit models’ feedback on garments was essential as they were the first people to try on the garments and present the customers’ points of view.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00398-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ergonomic glove pattern drafting method for hand assistive devices: considering 3D hand dimensions and finger mobility","authors":"Soo-Min Lee, Juyeon Park","doi":"10.1186/s40691-024-00397-5","DOIUrl":"10.1186/s40691-024-00397-5","url":null,"abstract":"<div><p>Recently, interest has surged in glove-type assistive devices for relieving hand muscle stiffness caused by brain lesions. This study aims to develop an ergonomic method for drafting glove patterns intended for hand-assistive devices. To facilitate pattern development, we acquired three-dimensional (3D) scan data from the four hemiplegic patients while their hands were in a relaxed posture, which was subsequently transformed into two-dimensional (2D) data. Based on the 3D shape data, we analyzed the finger joint range of motion (ROM) and change ratio of skin surface length resulting from flexion and extension movements of the paralyzed hand. Incisions were strategically applied to regions displaying significant variations in these parameters. These flattened 2D patterns were then integrated into revised pattern blocks to enhance the shading data related to the 3D shape, resulting in the development of four glove patterns. We found that gloves prototyped using this innovative pattern-drafting method did not impede joint ROM when worn. Changes in clothing pressure inside the glove at the joints corresponded to the bending angles of the fingers, and the pressure did not exceed the discomfort threshold during hand flexion and extension movements. Importantly, participants provided positive subjective feedback concerning the comfort of the gloves. Our findings yield fundamental data for developing a foundational glove design for hand-assisted devices for patients with paralysis, achieved through the utilization of this novel ergonomic glove pattern-drafting method.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00397-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diffusion of fashion trend information: a study on fashion image mining from various sources","authors":"Woojin Choi, Yuri Lee, Seyoon Jang","doi":"10.1186/s40691-024-00394-8","DOIUrl":"10.1186/s40691-024-00394-8","url":null,"abstract":"<div><p>The advancement in the internet and mobile technologies has substantially altered information diffusion in modern society, creating a diverse environment for generating and sharing various forms of information. Specifically, the emergence of new information sources, such as influencers and online communities, has significantly influenced the formation of consumer opinion. We highlight the changes that have occurred in the diffusion of fashion trend information. To do this, we conducted data mining, which involved three main steps: data preprocessing, specifically converting image data (including images from the 2022 F/W season runway collection, fashion influencer outfits, and best items from online fashion retailers) into textual data; data mining analysis (quantitative analysis); and data post-processing. As a result, we found that even items with low or no appearance on the runway held significance in the best item data or fashion influencer outfits. Specifically, the best items on online fashion retailers, reflecting popular fashion trends, had greater similarity to fashion influencer outfits. However, similarities in silhouette attributes were found among runway collections, fashion influencer outfits, and best items data. This study holds great significance because it focuses on fashion items genuinely consumed by the mainstream consumers rather than only focusing on the four major runway collections. Furthermore, these findings offer valuable insights for merchandising and trend forecasting, emphasizing the importance of selectively utilizing fashion trend information in the planning of fashion products.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00394-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and printing of three-dimensional electrodes for the high body adhesion of smart wear","authors":"Okkyung Lee, Heeran Lee","doi":"10.1186/s40691-024-00392-w","DOIUrl":"10.1186/s40691-024-00392-w","url":null,"abstract":"<div><p>Herein, we investigate the effects of 3D printed electrodes on electrophysiological signals and identify the important design elements required for manufacturing better electrodes for high body adhesion for smart wear. Ten electrodes of different shapes (plain, check, stripe, circular, radial cut-out) and thicknesses (0.5 mm and 1.0 mm) were manufactured. The electrodes were evaluated by testing on 20 healthy individuals (10 men and 10 women). To measure the electroencephalogram (EEG) of the participants, we used BIOS-S8 (BioBrain Inc., Korea), an 8-channel polygraph for multibody signal measurement. Data were analyzed using the SPSS 26.0 statistical program. The EEG values were significantly activated according to gender. For the male participants, relative alpha (RA), relative slow theta (RST), relative mid theta (RMT), and the ratio of SMR-mid beta to theta (RSMT) values were highly activated and for the female participants, RA, relative fast alpha (RFA), and relative slow theta (RSA) values were highly activated. There were no significant gendifferences in the EEG of both genders for the 10 types of electrodes. However, for the female participants, the ‘RA’ indices showed a significant difference based on electrode shape on the right temporal lobe (T4), but there was no significant difference based on the thickness. There was a significant difference in the subjective preference of the electrodes also. In the subjective evaluation, it was found that the differences based on the shape and thickness of the electrodes were sensitively recognized.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00392-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved flame retardancy and mechanical properties of bacterial cellulose fabrics via solvent exchange and entrapment of zein and gluten","authors":"Hyunjin Kim, Hye Rim Kim","doi":"10.1186/s40691-024-00395-7","DOIUrl":"10.1186/s40691-024-00395-7","url":null,"abstract":"<div><p>This study aimed to improve the flame retardancy and mechanical properties of bacterial cellulose (BC) by introducing cereal proteins, namely zein and gluten. The production conditions were determined by observing residual masses of samples at 1000 ℃ using thermogravimetric analysis (TGA). According to the TGA results, the optimized production conditions for the BCs with zein and gluten were combined solvent exchange and entrapment of 20 weight% (wt.%) of zein, and entrapment of 40 wt.% of gluten, respectively. Surface characterization of BC prepared with zein and gluten under the optimal conditions confirmed that the cereal proteins were incorporated into the BC nanostructures via solvent exchange and/or entrapment and the original chemical and crystal structures of BC were not significantly changed. Limiting oxygen index (LOI) analysis confirmed that cereal proteins improved the flame retardancy of BC. In particular, the LOI of BC entrapped with gluten was 50%, which was better than that of cowhide leather. Char morphology analysis confirmed that the as-produced BCs with cereal proteins exhibited condensed-phase flame-retardant mechanism by forming intumescent chars. Analysis of the mechanical properties confirmed that compared with cowhide leather, as-produced BCs with cereal proteins possessed high tensile strength and dimensional stability, making them suitable leather substitutes.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00395-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141930995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-pose dress simulation of fully-fashioned knitted skirt based on loop structure","authors":"Bilian Cheng, Gaoming Jiang, Bingxian Li","doi":"10.1186/s40691-024-00393-9","DOIUrl":"10.1186/s40691-024-00393-9","url":null,"abstract":"<div><p>To realize the three-dimensional structure simulation and dress simulation of the fully-fashioned knitted skirt, based on the study of the structural characteristics of the fully-fashioned knitted skirt, the mathematical model of the knitted skirt pattern, the loop geometry mathematical model and the loop mesh model were established by the method of mathematical modelling. The spatial transformation relationship of each pair of triangles in the plate model and the three-dimensional surface model was calculated by using the spatial matrix. To draw a loop on the surface model's triangular patch, spatial transformation was used to calculate the grid point positions and obtain three-dimensional coordinates of the loop-type value points. Based on C# programming language, the human body model in the database was matched with the knitted skirt surface model, and the three-dimensional graphics library Open-GL and loop drawing method were used to realize the simulation of the knitted skirt dress based on the loop structure. The simulation method was tested by the dressing effects of hip skirts and umbrella skirts with different postures. The results showed that the spatial transformation could realize the fast transformation and calculate the coordinates of the loop-type value points. The C# programming language and Open-GL technologies realized the visual simulation of the fully-fashioned knitted skirt and the multi-pose dressing simulation based on the loop structure.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00393-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141872594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Opportunities and challenges of smart technology for small independent fashion retailers: a reflexive thematic analysis using the technology-organization-environment framework","authors":"Hyo Jung Chang, Francine Bruess, Jo Woon Chong","doi":"10.1186/s40691-024-00391-x","DOIUrl":"10.1186/s40691-024-00391-x","url":null,"abstract":"<div><p>Smart technology has become an increasingly prominent feature in the fashion apparel industry. However, small retailers still face challenges while trying to adopt such innovative smart technologies to increase consumer interaction and sales. By applying the Technology, Organization, and Environment (TOE) framework, the aim of this study is to understand small independent fashion retail owners’ and employees’ thoughts on innovative retail technologies and their reactions to the currently available new technology. A qualitative research method of in-depth interviews with 11 participants working in fashion companies was used. The themes that emerged in this study represent criteria to be met prior to adopting new technology for small fashion retailers, including transparency, consistency, and integration of technology. While there were concerns regarding the cost and timing of adopting smart technology, they all expressed unanimous agreement that these advancements would become the next major trend in fashion retail, enhancing consumer connectivity. In particular, the smart technology they plan to adopt must possess the capability for reciprocity between consumers and the company. This will motivate a resurgence of innovative technologies in the less advanced fragment of small independent fashion retailers. Future research can focus on analyzing how the implementation of new smart technologies affects these types of businesses and their customer satisfaction.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00391-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141624172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Date estimation of fabrication and repair of Color garments encouragement banner","authors":"Seonghee Pak, Boyeon An, Changsang Yun","doi":"10.1186/s40691-024-00390-y","DOIUrl":"10.1186/s40691-024-00390-y","url":null,"abstract":"<div><p>The Color Garments Encouragement Banner was designated a Korean Heritage in 2014 to recognize it as the most significant object of the color garments encouragement campaign. However, despite its significance, nothing is known about its manufacture. Therefore, this study attempted to analyze the materials of the banners to estimate when they were manufactured and repaired. The investigation of materials on the banner involved visual examination, literature review, microscopy, SEM–EDS, FT-IR, Py-GC–MS, ICP-MS, and LC–MS. The fabric, patch, and threads comprising the artifact were identified as cotton. FT-IR and Py-GC–MS confirmed that the repair patch was a woven blend of polyester and cotton yarns. EDS analysis indicated that the polyester was treated with titanium delustering. ICP-MS detected high concentrations of chromium that were not used in traditional dyeing techniques. The azo and sulfur compounds were identified by LC–MS analysis. The material layered on the grommet patch was thought to be a mixture of Pb, Ti with CaCO<sub>3</sub> and BaSO<sub>4</sub>. Based on the overall results, the production date of the banner was narrowed down to the late 1920s, and the repair date to the mid-1950s. Although the materials used could not be identified owing to the limitations of the applicable analysis. Nonetheless, it is hoped that the analyses conducted in this study can serve as a scientific foundation for dating modern cultural heritage objects with limited handed-down record and historical documentation.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00390-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141495494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning","authors":"Buradagunta Suvarna, Sivadi Balakrishna","doi":"10.1186/s40691-024-00382-y","DOIUrl":"10.1186/s40691-024-00382-y","url":null,"abstract":"<div><p>With the rise of online shopping due to the COVID-19 pandemic, Recommender Systems have become increasingly important in providing personalized product recommendations. Recommender Systems face the challenge of efficiently extracting relevant items from vast data. Numerous methods using deep learning approaches have been developed to classify fashion images. However, those models are based on a single model that may or may not be reliable. We proposed a deep ensemble classifier that takes the probabilities obtained from five pre-trained models such as MobileNet, DenseNet, Xception, and the two varieties of VGG. The probabilities obtained from the five pre-trained models are then passed as inputs to a deep ensemble classifier for the prediction of the given item. Several similarity measures have been studied in this work and the cosine similarity metric is used to recommend the products for a classified product given by a deep ensemble classifier. The proposed method is trained and validated using benchmark datasets such as Fashion product images dataset and Shoe dataset, demonstrating superior accuracy compared to existing models. The results highlight the potential of leveraging transfer learning and deep ensemble techniques to enhance fashion recommendation systems. The proposed model achieves 96% accuracy compared to the existing models.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00382-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141495490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Functional performance of a novel compression top for female throwing athletes","authors":"Dawn Michaelson, Sarah Gascon, Karla P. Teel","doi":"10.1186/s40691-024-00389-5","DOIUrl":"10.1186/s40691-024-00389-5","url":null,"abstract":"<div><p>This study forged an interdisciplinary design partnership between an apparel designer, biomechanical kinesiologist, and a professional female athlete to design and test a novel new upper body performance garment for improved fit, mobility, comfort, donning/doffing and throwing performance in female professional athletes. Researchers collaborated to address garment functionality and performance during the multi-phase prototyping design process. The final designed performance top was tested against a control for satisfaction differences with fit, mobility, comfort, donning, and doffing, along with throwing performance utilizing a mixed methods questionnaire and motion capture equipment. Open-ended questions were analyzed with content analysis, while quantitative measures utilized ANOVA and independent t-tests. Results indicated the designed performance top had higher fit satisfaction and more optimal positioning during the overhead throw when compared to the control garment, with no difference in comfort or mobility, and the designed top had lower donning and doffing satisfaction. The designed performance top illustrates the need for further research in increasing satisfaction in donning and doffing with bust/bra satisfaction in performance garments and future research to better understand the psychological sensory cues in posture cueing garments.</p></div>","PeriodicalId":555,"journal":{"name":"Fashion and Textiles","volume":"11 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fashionandtextiles.springeropen.com/counter/pdf/10.1186/s40691-024-00389-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141475045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}