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International Journal of Clothing Science and Technology
Journal Prestige (SJR): 0.318  Citation Impact (citeScore): 1 Number of Followers: 3  Hybrid journal * Containing 1  Open Access article(s) in this issue *ISSN (Print) 0955-6222 - ISSN (Online) 1758-5953 Published by Emerald  [362 journals]
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- Testing of 3D printing on textile fabrics for garments application within
circular design-
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Authors: Kestutis Lekeckas, Julija Stirbe, Kristina Ancutiene, Ruta Valusyte
Abstract: To explore the influence of various factors on the adhesion strength of 3D printing materials and chiffon fabrics, and to develop an original design clothing prototype with an extended functionality that would be compatible with the specifics of the circular design. Four different chiffon fabrics and four 3D printed materials were chosen as the research subjects to determine the influence of various factors on the adhesion strength and ductility. The uniaxial tensile test was used to determine pull-out force and the pull-out elongation from the interlayer. 3D printed TPU elements can be used to join clothing parts made from low-elasticity chiffon fabrics to improve wearing comfort. In order to comply with the circular economy concept, it is important to select such adhesion parameters of the 3D printed elements and the material system that would ensure wear comfort and withstand wear-level loads; and at the end of the life cycle of a garment, the 3D printed elements could be separated from the product and recycled. The systems developed can be used to renew and repair products, adding originality, individual touch or additional decorative features, while extending the functional possibilities of clothing items in accordance with circular design principles.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-23
DOI: 10.1108/IJCST-06-2022-0080
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Objective and subjective evaluations of quilted mattress ticking fabrics
for their thermal comfort performances-
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Authors: Sibel Kaplan, Havva Tokgoz
Abstract: Sleep quality, a crucial parameter for health and life performance, is affected by mattress components; particularly mechanical and thermal comfort management ability of the upper layers. The aim of this study is to investigate effects of quilted mattress ticking fabric material (polyester, polypropylene, viscose, lyocell and their blends) on thermal comfort of the bedding system by objective and subjective measurements. The permeability (air and water vapour), heat transfer, water absorption, transfer and drying behaviours of knitted quilted fabrics which influence the thermal comfort of the bedding system were investigated. Subjective coolness and dampness evaluations were gathered by forearm and hand-palm tests to provide more realistic discussion in light of fabric characteristics. According to the results, polypropylene can be suggested for winter use with its higher air and water vapour permeabilities, lower thermal absorption and conductivities and warmer evaluation results. Lyocell can be suggested for summer use with also high permeabilities, higher thermal absorption and conductivities and cooler evaluation results. Polyester and viscose may also be considered for winter and summer in turn as a result of thermal feelings they create. In addition to fabric thermal, permeability, liquid absorption and transfer properties, this study also includes subjective coolness and dampness evaluations which can provide realistic results regarding the coolness-to-touch and liquid transfer performances of mattress ticking fabrics. The relationships among objective and subjective data were investigated and the proposed subjective evaluation techniques can be used for different products.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-23
DOI: 10.1108/IJCST-10-2022-0138
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The quasi-static puncture resistance of flexible impregnated nonwovens
made by filament or staple polyethylene terephthalate (PET) fibers-
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Authors: Chunling Liang, Ting Zou, Yan Zhang, Yuanyuan Li, Ping Wang
Abstract: This paper aims to design a composite, aiming to improve the static puncture resistance through polyurethane impregnated treatment with five concentration gradients. The relationship between polyurethane concentration, the number of polyester nonwovens, component fiber type (filament or staple) and the static puncture resistance is explored respectively and elaborately. This study provides a new perspective to design flexible composites with better static puncture resistance, feasible preparation process as well as low cost. The results show that the static puncture resistance of nonwovens impregnated by polyurethane is improved obviously. Meanwhile the puncture strength-T of nonwovens increases first and then decreases with the increase of the number of layers, and the maximum puncture strength-T is found at 20 layers. Moreover, the composite with filaments illustrates better mechanical resistance.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-17
DOI: 10.1108/IJCST-10-2022-0140
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Sewing and adhesive bonding technologies for smart clothing production
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Authors: Jurgita Domskiene, Modesta Mitkute, Valdas Grigaliunas
Abstract: This paper aims to present investigations of the influence of sewing and adhesive bonding technology on the aesthetic, mechanical and conductive properties of the e-textile package. Commercially available conductive textiles are tested for the production of e-textile package by most common cut-and-sewn clothing production technologies. Sewing, adhesive bonding and seam sealing technologies used to obtain e-textile packages with woven and knitted conductive textiles. Produced e-textile packages described in terms of thickness, bending rigidity and general appearance. Exploitation properties of prepared samples tested by cycle tensile experiment and discussed on the basis of variation of linear electrical resistance property. Research has shown that a reliable e-textile package can be obtained by applying cut-and-sew technology for conductive tracks of silver coated woven and knitted material. Seam sealing by thermoplastic polymer layer has an impact on the electrical and deformation properties of the samples. To create attractive smart clothing design, the appropriate joining method and its technological parameters must be chosen to ensure the durability and safety of e-textile packages. The findings of the research are of substantial value for the production of e-textiles by cut-and-sewn technologies. The required shape of the conductive textile element for various applications can be cut and joined to the garment parts using traditional sewing or adhesive bonding techniques.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-10
DOI: 10.1108/IJCST-02-2022-0028
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Emotional factors of bra that effect satisfaction and
attractiveness-
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Authors: Xingyu Wen, Jing Zhang, Mincheol Whang
Abstract: The purpose of this paper is to analyze the relationship between affect space and bra design factors based on the observer's vision judgment. First, using two dimensions of attractiveness and satisfaction to define the bra emotion space based on literature. Then, the mapping relation between bra design factors and emotional space is analyzed in visual perception. Finally, the model of bra emotion recognition based on design factors is established using the neural network BRP. Users' emotions stimulated by bras can be automatically recognized based on their visual design factors. (1) attractiveness and satisfaction which are used to define bra emotions space show a linear correlation between each other in the human visual domain. (2) The design factors that cause attractiveness can also cause satisfaction. However, the factors that stimulate satisfaction do not necessarily attract users' interest, such as the ratio, location of embellishments, hollowed, core decoration and contour lines. The analysis of bra emotion space may help designers to understand the relationship between bra visual appearance and emotion, and ask them to pay attention to empathic design factors. With the provided results, designers can also carry out and evaluate emotional bra design with high attractiveness and satisfaction. This paper discusses the emotional attributes of bra visual design factors based on bra emotion space and explores the methods of bra emotion design.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-09
DOI: 10.1108/IJCST-07-2022-0103
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- OMNet: Outfit Memory Net for clothing parsing
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Authors: Shaoping Ye, Shaoyu Wang, Nuo Chen, An Xu, Xiujin Shi
Abstract: Existing clothing parsing methods make little use of dataset-level information. This paper aims to propose a novel clothing parsing method which utilizes higher-level outfit combinatorial consistency knowledge from the whole clothing dataset to improve the accuracy of segmenting clothing images. In this paper, the authors propose an Outfit Memory Net (OMNet) that augments original feature by aggregating dataset-level prior clothing combination information. Specifically, the authors design an Outfit Matrix (OM) to represent clothing combination information of single image and an Outfit Memory Module (OMM) to store the clothing combination information of all images in the training set, i.e. dataset-level clothing combination information. In addition, the authors propose a Multi-scale Aggregation Module (MAM) to aggregate the clothing combination information in a multi-scale manner to solve the problem of large variance in the scale of objects in the clothing images. Experiments on Colorful Fashion Parsing Dataset (CFPD) dataset show that the authors' method achieves 93.15% pixel accuracy (PA) and 51.24% mean of class-wise intersection over union (mIoU), which are satisfactory parsing results compared with existing methods such as PSPNet, DANet and DeepLabV3. Moreover, through comparing the segmentation accuracy of different methods for each category, MAM could effectively improve the segmentation of small objects. With the rise of various online shopping platforms and the continuous development of deep learning technology, emerging applications such as clothing recommendation, matching, classification and virtual try-on system have emerged in the clothing field. Clothing parsing is the key technology to realize these applications. Therefore, improving the accuracy of clothing parsing is necessary.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-05-05
DOI: 10.1108/IJCST-10-2022-0145
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Mycelium as sustainable textile material – review on recent research
and future prospective-
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Authors: R. Rathinamoorthy, T. Sharmila Bharathi, M. Snehaa, C. Swetha
Abstract: Mycelium is an upcoming bio-based alternative material that has various applications in different industries. Mycelium materials used as composites, leather, construction materials and some are even available for commercial purposes. However, there was not much research found when it came to the application of mycelium as a textile alternative. The purpose of this paper is to examine the potential of mycelium in the textile industry and its possible applications. This review consolidates literature that refers the two major methods used in fungal mycelium production namely; as a composite and as a pure self-grown mycelium sheet. The study compared the current research status in this respective field and reported the scope in the pure mycelium development. The results of the review reported that several research works are performed in composite production with different feedstock. The production methods and product development steps were well established for several applications from home utilities to construction materials. Whereas, in the case of self-grown mycelium sheet production only limited research works were found. Though the possibilities of engineered composite sheets are developed with various properties, research on self-grown pure mycelium sheets are at infant stage. Sensitive production methods, lower tensile, tearing, poor handle properties with brittle structure and non-uniformity in thickness are noted as limitations. Sustainable nature, self-grown three-dimensional nano-fibril network with porous structure are found to be advantageous. The solid culture method was identified as a potential method to develop a sheet-like self-grown mycelium with different dimensions. The review results clearly show the lack of research in the direct application of self-grown pure mycelium area concerning feedstock material, fungal species selection and characterization of the developed product. Addressing the existing limitations will yield a sustainable textile material for fashion and textile industry with great potential.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-27
DOI: 10.1108/IJCST-01-2022-0003
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Characterization of self-dyed silk yarn with Rhodamine B dye
for fashion applications-
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Authors: Uyen Nguyen Tu Tran, Hung Ngoc Phan, Thao Thanh Hoang, Nu Thi Hong Le, Huong Mai Bui
Abstract: The textile industry has consumed large quantities of water and discharged large volumes of wastewater in the dyeing process. The study aims to characterize self-dyed silk with Rhodamine B (RhB) for fashion applications to reduce textile hazards to the environment and increase the added value of silk. Bombyx mori was fed with RhB-colored mulberry leaves (1500 ppm). The effects of self-dyeing were investigated via color strength K/S, Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscope, X-ray diffraction, tensile strength, color fastness to washing, rubbing, perspiration and light. Self-dyed silk possesses effective coloration and impressive color fastness (4–5/5), higher crystalline index (CrI) (73.26 ± 2.28%), less thermal stability and tenacity, slight change in amino acid composition compared with the pristine and no existence of harmful aromatic azo amines and arylamine salts. The application of self-dyed silk with RhB dye has expanded new technology into fashion industry, contributing partly to economic growth and adding value to silk in the global supply chain. Besides, the self-dyeing will yield practical values in the reduction of dyeing discharge in textile industry. Self-dyed silk was characterized for textile applications in comparison with pristine silk in terms of color strength and fastness as well as determined its polymeric properties relating to crystallinity, morphology, chemical composition, tensile properties and thermal stability which have not been investigated before.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-21
DOI: 10.1108/IJCST-10-2022-0147
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Thermal comfort properties of bi-layer knitted fabrics made up
of polyester yarns and nylon yarns with varied specification-
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Authors: Yang Yang, Weijing Zhang, Zheng Liu, Peihua Zhang
Abstract: The purpose of this work is to investigate the effect of filament composition with different specifications on the thermal comfort properties of bi-layer knitted fabrics. In this paper eight bi-layer knitted fabrics with the same knitting structure but different filament compositions were prepared, and the thermal-wet comfort properties of these fabrics were examined. According to experimental data, the effect of filament composition on the thermal comfort properties of fabric was analyzed. The increasing difference of hydrophilicity between inner and outer layers resulted in the enhancement of moisture management properties. Better thermal-physiology performance was exhibited by fabrics made up of finer and circular section fibers. Excellent thermal transfer, drying performance and one-way water transport capacity benefited the improvement of dynamic cooling effect of fabrics. This work provides a useful and effective method for the development of bi-layer knitted fabric applied for sports and summer clothing.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-17
DOI: 10.1108/IJCST-06-2022-0079
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Investigation of the cosmetic effects of pattern design and wearability in
sports bras-
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Authors: Elif Yılmaz, Ziynet Öndoğan, Arzu Şen Kılıç
Abstract: This study aims to develop a sports bra with cosmetic microcapsules that supports the breasts and provides an aesthetically upright and lifted posture by using 28 days period. A fitting process was carried out on provided seamless sports bras to determine the criteria that have to be improved considering the desired properties. The new sports bras were produced after the pattern design was developed; cosmetic microcapsules were applied to some of the bras and some were used as a control group to compare the real cosmetic effects. Female subjects tried the newly developed sports bras in a 28-day wear trial. Measurements were taken at certain periods during the wear trials, and the obtained data were analyzed statistically. The findings of this study determined that the product provides a decrease in breast girth and increases skin moisture and nipple height after 28 days of regular use due to the effect of cosmetic ingredients released from microcapsules. A great majority of subjects found the breast lifting and supporting property of the sports bra successful and were satisfied with the new shape of the subjects' breasts. Fitting studies were carried out directly on the female body, and the designed and developed encapsulating type sports bra has been transformed into a cosmetic textile product that gains also cosmetic properties. The cosmetic effects of the bra were investigated with wear trials. On the other hand, the nipple height measure term was defined for the first time and added to the literature within the scope of the study.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-07
DOI: 10.1108/IJCST-01-2022-0009
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Coloring and functional properties of cotton and wool fabrics treated with
aronia () fruit and leaf extracts-
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Authors: Eunmi Koh, Kyung Hwa Hong
Abstract: The purpose of this study was to develop an environment-friendly finishing process for coloring and functionalizing fabrics using the extracts from aronia fruit (AF) and/or aronia leaf (AL). Coloring and functional compounds were extracted from both AF and AL to prepare dyeing and finishing agents for textiles. The bioactive compounds were identified, and their concentrations were determined by spectrophotometry and high-performance liquid chromatography. The extracts were then used to dye and finish natural fibers. The cotton and wool fabrics treated with AF, AL and a combination of AF + AL extracts were investigated in terms of coloring properties and functionalities, specifically antioxidant capacity and antibacterial property. According to the obtained results, AF extracts contained significant amounts of anthocyanins and phenols while AL extracts contained higher amounts of phenols with very low levels of anthocyanins. It was successfully demonstrated that the AF and AL extracts can be used to dye fabrics with good color properties. Moreover, textiles treated with aronia extracts inhibited the growth of gram-negative and gram-positive bacteria and exhibited antioxidant properties. AF extract showed superior coloring and functional properties compared to AL extract. However, the treatment solution containing both AF and AL extracts demonstrated significant synergic effects on the antibacterial and antioxidant properties of the treated fabrics.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-04
DOI: 10.1108/IJCST-02-2022-0019
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Developing a prediction model for improving bifurcated garment fit for
mass customization-
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Authors: Aditi Galada, Fatma Baytar
Abstract: The purpose of the present study was to improve the fit of women’s bifurcated garments by developing an equation that can predict the crotch length accurately by using a few basic body measurements. This equation could provide a simple mass-customization approach to the design of bifurcated garments. Demographic characteristics and easy-to-record body measurements available in the size USA database were used to predict the crotch length. Different methodologies including best subset regression, lasso regression and principal components regression were experimented with to identify the most important predictor variables and establish a relationship between the significant predictors and crotch length. The lasso regression model provided the highest accuracy, required only five body dimensions and dealt with multicollinearity. The preliminary pattern preparation and garment fit tests indicated that by utilizing the proposed equation, patterns of customized garments could be successfully altered to match the crotch length of the customer, thereby, improving the precision and efficiency of the pattern making process. Crotch length is a crucial measurement as it determines bifurcated garment comfort as well as aesthetic fit. The crotch length is usually estimated arbitrarily based on non-scientific methods while drafting patterns, and this increases the likelihood of dissatisfaction with the fit of the lower-body garments. The present study suggested an algorithm that could predict crotch length with 90.53% accuracy using the body dimensions height, hips, waist height, knee height and arm length.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-04-04
DOI: 10.1108/IJCST-12-2021-0179
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Differences in fabric hand perceptions among Japanese and Chinese
individuals
Open Access Article-
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Authors: Tomoharu Ishikawa, Junki Tsunetou, Yoshiko Yanagida, Mutsumi Yanaka, Minoru Mitsui, Kazuya Sasaki, Miyoshi Ayama
Abstract: The study aimed to clarify differences in fabric hand perceptions among Japanese and Chinese participants and implement online shopping strategies that enable consumers to easily recognize fabric texture. Forty (20 Japanese and 20 Chinese) participants knowledgeable about clothing and fabric were recruited. Participants evaluated fabric by sight and touch in a visuotactile experiment (VTE). The stimulus material comprised 39 fabric samples representing a broad range of fabric attributes (7 fibers, 5 weaving/knitting techniques and 3 yarn thicknesses and density). A Mann–Whitney U test and a factor analysis were conducted to determine differences in responses for the different fabric variables. The fabric hand perceptions factors were similar between both groups. Japanese participants showed a stronger preference for fabrics that felt wet. Japanese participants’ fabric hand perceptions had a 3-factor structure, while Chinese participants had a 2-factor structure. Chinese participants regarded “crisp” as perceptually and linguistically equivalent to “stretchy.” The study’s findings suggest that Chinese people have stronger preferences in fabrics than Japanese people do. Japanese people evaluate fabric hand in a more nuanced manner than Chinese individuals, including discerning different fabric attributes, such as fiber and yarn thickness and density. Thus, nationality may influence fabric hand perceptions more than fabric knowledge does. Specifically, in evaluating “crispness,” the results required further analysis because differences in nationality may have affected evaluations regarding perception and linguistic perspectives. The findings provide design guidelines for implementing online shopping strategies adapted to each participant group.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-03-20
DOI: 10.1108/IJCST-04-2022-0050
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Simulation and analysis of heat transfer performance of electrical heating
fabric at low temperature based on skin tissue-
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Authors: Jinyu Li, Hangyu Yan, Yunfeng Ni, Linlin Fu, Yunchu Yang
Abstract: At present, electrical heating clothing is widely used to keep ourselves warm at low temperature. The purpose of this paper is to explore the heat transfer performance of electrical heating fabric and the thermal comfort of human skin at low temperature. The combined model of skin-electrical heating fabric system was established to simulate human skin tissue wearing electrical heating clothing. A series of simulation experiments are designed on the basis of verifying the effectiveness of the combined model. The temperature distribution inside the combined model and on the skin surface under different heating powers is simulated and analyzed. At the same time, the influence of ambient temperature on the thermal performance of electrical heating fabric was explored. The skin model with blood vessels reflected the temperature change of human skin wearing electrical heating clothing. The higher the heating power of the electrical heating fabric was, the greater the temperature of the skin surface changed, the faster the temperature rose and the longer the time required to reach the stable state would be. After the heating element was electrified, it had the greatest effect on the average temperature of the epidermis and dermis, had smaller effect on the average temperature of subcutaneous layer and had little effect on the temperature of blood vessels. When the heating power was the same, the higher the ambient temperature was, the more obvious the heating effect of electrical heating fabric was. Electrical heating fabrics with different heating powers were suitable for different ambient temperature ranges. A reasonable and effective evaluation method for the thermal comfort of electrical heating fabric was provided by establishing the skin model and combined model of the skin-electrical heating fabric system. It provides a reference for the design and application of electrical heating clothing.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-03-14
DOI: 10.1108/IJCST-02-2022-0021
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- An application of virtual twins for fit prediction: case study
of women jackets-
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Authors: Sida Wan, Victor Kuzmichev
Abstract: The purpose of this paper is to present a fit prediction case study of virtual twins of women jacket. For this reason, several basic principles of clothes fit prediction were developed and verified. To develop the principles of fit prediction, the women's jacket sleeve was selected as the study object. The study objects were categorized into three types: the patterns and two virtual sleeves generating on full avatar from Clo3D and on dummy (arm partly removed). Through series of subjective and objective evaluation experiments, the relationship between the similar indexes of the patterns and the virtual sleeves was built, including fit criteria range, the categorization of the indexes in terms of its sensitiveness, and the linear regressions to predict several indexes of virtual sleeves after its pattern parameterization. The results obtained were verified in case study by the virtual and real sleeves generating. The proposed principles of clothing fit prediction based on parallel research of the flat patterns and its virtual 3D shapes. The principles include the choosing of virtual twins of human body for virtual try-on, the establishing of indexes common schedule for patterns and virtual sleeves, the creation of criteria and its ranges for perfect fit and poor fit evaluation, and the application of existing relations between the patterns and the sleeves for predicting indexes responsible for fit. The authors propose and verify the validity of the principles to predict several parameters of virtual 3D sleeve of women's jacket which are forming the level of fit. The result of this study can be used to convenient fit prediction and to find the misfit reasons. This study developed basic principles for predicting the fit of the clothing through the virtual simulation and the statistical analysis. Through studying the jacket sleeve, the several related ranges, the row of more sensitive indexes, and the equations were presented and verified, which certified the validity of proposed principles. The results can effectively predict the sleeve fit before sewing, which reduce the time and materials cost and the operator's skill requirements. The authors propose and verify the validity of the principles to predict several parameters of virtual 3D sleeve of women's jacket which form the level of fit. The result of this study can be used for convenient fit prediction and to find the misfit reasons.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-03-07
DOI: 10.1108/IJCST-08-2021-0106
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Development of automatic 3D body scan measurement line generation method
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Authors: Hyunsook Han
Abstract: This research aimed to develop an automatic 3D body measurement line generation method that reduces errors induced by diverse body shapes and incomplete scan areas. Three-dimensional body scan data from the 5th Size Korea database were used. Measurement extraction methods were developed for each measurement; chest girth, underbust girth, armscye girth and neck base girth. The research showed that the method adopted in this study enhanced the accuracy of the scan measurements for various body shapes and incomplete scan data. The authors verified the accuracy of the developed methods for various body shapes by comparing the scan measurement against manual measurement. The automatic 3D body measurement line generation algorithms developed for various human body shapes will improve the reliability and accuracy of 3D body scan measurement program. Also. it will be of practical use in human-size-related production processes.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-02-28
DOI: 10.1108/IJCST-08-2022-0113
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- DO-VTON: a details-oriented virtual try-on network
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Authors: Weihao Luo, Yueqi Zhong
Abstract: The paper aims to transfer the item image of a given clothing product to a corresponding area of the user image. Existing classical methods suffer from unconstrained deformation of clothing and occlusion caused by hair or poses, which leads to loss of details in the try-on results. In this paper, the authors present a details-oriented virtual try-on network (DO-VTON), which allows synthesizing high-fidelity try-on images with preserved characteristics of target clothing. The proposed try-on network consists of three modules. The fashion parsing module (FPM) is designed to generate the parsing map of a reference person image. The geometric matching module (GMM) warps the input clothing and matches it with the torso area of the reference person guided by the parsing map. The try-on module (TOM) generates the final try-on image. In both FPM and TOM, attention mechanism is introduced to obtain sufficient features, which enhances the performance of characteristics preservation. In GMM, a two-stage coarse-to-fine training strategy with a grid regularization loss (GR loss) is employed to optimize the clothing warping. In this paper, the authors propose a three-stage image-based virtual try-on network, DO-VTON, that aims to generate realistic try-on images with extensive characteristics preserved. The authors’ proposed algorithm can provide a promising tool for image based virtual try-on. The authors’ proposed method is a technology for consumers to purchase favored clothes online and to reduce the return rate in e-commerce. Therefore, the authors’ proposed algorithm can provide a promising tool for image based virtual try-on.
Citation: International Journal of Clothing Science and Technology
PubDate: 2023-01-06
DOI: 10.1108/IJCST-02-2022-0017
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Design of a wearable multi-point temperature monitoring system –
practical application in waist temperature monitoring-
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Authors: Liang Ma, Jun Li
Abstract: Human skin temperature data can provide reference advice for diagnosing many diseases, but current wearable skin temperature monitoring systems have few points and may miss temperature information in critical areas. This paper aims to develop a wearable system that can be used for local temperature monitoring and restore better the actual state of local human temperature by exploring ways to extend more temperature measurement points. This will provide better assistance in developing medical targeting and intelligent clothing. The temperature measurement system contains modules for temperature monitoring, digital-to-analog conversion and regulated power supply, enabling fast reading of 12 channels of monitoring data. The microprocessor unit is the STM32F407. The instructions and control modes are written in C. The waist area was chosen as the monitoring area because it is susceptible to temperature, and many diseases are associated with skin temperature. Twelve points, including temperature-related acupuncture points and heat-sensitive points, were selected for testing and the data results agreed well with the infrared imaging results. The waist is selected as the monitoring object, and an easy-to-wear waist temperature monitoring belt is designed to verify the application value of the system. The development of the system provides reference suggestions for the exploration of multi-point temperature monitoring systems and the integration capabilities of temperature measurement modules in wearable multifunctional systems. In addition to waist temperature monitoring, the wearable temperature measurement system developed in this study can also be applied to other body parts. In addition, the system can be efficiently and effectively combined with various garments, making it a useful tool for researching human skin temperature. The wearable temperature monitoring system designed in this paper extends the number of temperature test points to 12. The number of test points covers as many localized body areas as possible to indeed reproduce the temperature distribution of the human body. In addition, the selection of test points combines medically relevant body points with physiologically relevant heat-sensitive areas, which makes the temperature measurement data more valuable.
Citation: International Journal of Clothing Science and Technology
PubDate: 2022-10-04
DOI: 10.1108/IJCST-03-2022-0047
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- The effectiveness of compression garment in relieving muscular pain:
a review-
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Authors: Shivangi Agarwal, Shalini Juneja
Abstract: The purpose of this paper is to understand compression garment in the area of medical industry, compression garments were used initially for patients with circulatory problems. External pressure was created by compression garments on the body surface which prevents blood clots, leg swelling and improves venous hemodynamics. Compression rehabilitation is a significant element in the effective management of lower limb problems of people associated with venous, lymphatic, fat disorders like lipoedema. Compression garments have been attributed primarily for the increase in blood flow, improvement in recovery, reduction in muscle vibration that increase stability, improvement in thermoregulation, decrease in muscle pain, elimination of blood lactate and creatine kinase after exercise. Compression garments are extraordinary clothes that contain elastomeric yarns or fibers that are responsible for applying significant mechanical pressure on the required body surface for compressing, stabilizing and supporting underlying tissues.
Citation: International Journal of Clothing Science and Technology
PubDate: 2022-09-27
DOI: 10.1108/IJCST-01-2022-0014
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Preferred local electrical heating and its effect on overall thermal
response-
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Authors: Xue Chen, Zhaohua Zhang, Yutong Yang
Abstract: The purpose of this paper is to explore the distribution of local thermal sensitivity of human body heating and the local preferred heating temperature, and the influence of this sensitive division on thermal response when heating human body in cold environment. Eight subjects were invited to use carbon fiber heating patches in an environment of 5 and RH 50%, and eight body parts were selected to explore the heating sensitivity. By measuring the skin temperature and evaluating the subjective thermal sensation and thermal comfort, the thermal sensitivity of local body segments and the influence of single-zone and double-zone heating on human thermal response were explored. The sensitivity of local heating on overall thermal sensation (OTS) was foot > back > chest > abdomen > waist > elbow > hand > knee. Both single-zone and double-zone heating can improve the OTS, but double-zone heating can reach thermal neutrality and thermal comfort. In order to prevent the high temperature of heating patches from damaging human body, the local skin temperature should be monitored in the design of local heating clothing, and 39.6 should be taken as the upper limit of local skin temperature. The results provide a theoretical basis for the selection of heating position in local electric heating clothing (EHC) and the design of intelligent temperature adjustment heating clothing, improve the performance of local EHC and reduce energy consumption.
Citation: International Journal of Clothing Science and Technology
PubDate: 2022-09-13
DOI: 10.1108/IJCST-02-2022-0027
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Appearance and conductivity of weft-knitted unibody positioning flexible
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Authors: Fei Sun, Haisang Liu, Yuqin Din, Honglian Cong, Zhijia Dong
Abstract: The purpose of this research is to propose a flexible sensor with a weft-knitted float stitch structure and to explore knitting techniques that allow conductive yarns to be skin-tight and less exposed, reducing production processes and increasing productivity. Study its electrical conductivity in different yarn materials, knit processes and deformation ranges. The analysis is compared to provide some basis for the design of the electrodes. The method includes five operations: (1) Analysis of the morphological appearance, tensile variation, fiber material properties and electrical conductivity of high-elastic and filament silver-plated conductive yarns. (2) Based on the knitting process of the floating yarn structure, three-dimensional modeling of the flexible sensor was carried out to explore the influence of knitting process changes on appearance characteristics. (3) The fabric samples are knitted by different silver-plated conductive yarns with different structures. Processing of experimental samples to finished size by advance shrinkage. (4) Measure the resistance of the experimental sample after the machine has been lowered and after pre-shrinking. Use the stretching machine to simulate a wearing experiment and measure the change in resistance of the sample in the 0–15% stretching range. (5) Analyze the influence factors on the conductive performance of the flexible sensor to determine whether it is suitable for textile flexible sensors. For the float knitted flexible sensors, the floating wire projection is influenced by the elasticity of the fabric and the length of the floating wire. Compared to the plain knitted flexible sensors, it has less resistance variation and better electrical properties, making it suitable for making electrodes for textile structures. In addition, the knitting method is integrated with the intelligent monitoring clothing, which saves the process for the integration of the flexible sensor, realizes positioning and fixed-point knitting. The sensor technology of the designed weft-knitted float structure is varied and can be freely combined and designed in a wide range. Within the good electrical conductivity, the flexible sensor can realize integrated knitting, positioning monitoring, integrating into the appearance of clothing. It can also focus on the wearing experience of wearable products so that the appearance of the monitoring clothing is close to the clothes we wear in our daily life. In this paper, an integrated positioning knitting flexible sensor based on the weft knitting float structure is studied. The improved knitting process allows the sensing contact surface to be close to the skin and reduces the integration process. The relationship between the exposure of the silver-plated yarn on the clothing surface and the electrical conductivity is analyzed. Within a certain conductive performance, reduces the exposed area of the conductive yarn on the clothing surface and proposes a design reference for the flexible sensor appearance.
Citation: International Journal of Clothing Science and Technology
PubDate: 2022-09-01
DOI: 10.1108/IJCST-03-2022-0039
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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