Cloth Model Research Articles

Анализ доступной школьной формы для детей с особенностями развития

This article examines the importance of designing and developing adaptive clothing for girls with autism spectrum disorder (ASD). Creating comfortable, safe, and functional school uniforms for such children is an increasingly relevant issue, as standard clothing models often fail to meet their unique needs. The study highlights the significance of adapting clothing elements—such as materials, fastenings, and construction—to reduce sensory discomfort, heightened tactile sensitivity, and challenges with independent dressing. Key attention is given to principles of inclusivity and ergonomics, ensuring freedom of movement and comfort. The article analyzes factors affecting fabric and design choices that contribute to improving the quality of life for children with ASD. The findings of this study can assist designers and manufacturers in creating inclusive clothing that fosters children’s social adaptation and independence in self-care.

Studying the quality indicators of acrylic paints with suede effect decorated in youth clothing

The article provides a comparative analysis of the types of national patterns in the formation and decoration of modern youth clothing. In the preparation of modern youth clothing, the structure and use of “tórt qulaq,” “qus qanaty,” and “óńirjıek” ornaments among the national ornaments of the Kazakh people were substantiated. According to the analysis results, the study used the methods of artistic decoration of national elements with volumetric acrylic paints, decorating with an artistic painting of ornaments of a collection of modern youth clothing formed. We studied the influence of dyeing textile materials of mixed composition with acrylic paints and the quality indicators of test samples decoratively decorated with acrylic paints on textile materials. When decoratively finishing brushed “poker with fleece” fabric with “Decola” acrylic paint, applying the paint to the test sample created difficulties. As a result, we discovered that the paint did not lie smoothly on the fabric’s surface. Test samples of the “milana” suit fabric and raincoat material using “Pebeo acrylic paint with suede effect” acquired a 3D volume. We studied the color fastness of washing test samples, and high-quality indicators of color fastness with artistic ornamental finishing in 3D volumes were obtained for the material “raincoat” and the suiting fabric “milana.” When studying the performance of test samples in terms of hygroscopic properties, the raincoat material had a higher waterproof rating, and the “milana” suit fabric had a lower waterproof rating. As a result of the hygroscopic properties of materials, in the manufacture of a collection of youth clothing, “milana” suit fabric was used, and the decorative detail of the “back yoke” was made of raincoat material with a high waterproof rating. As a result of the study, the ornaments will be decorated with artistic painting with “Pebeo acrylic paint suede effect” with 3D volume and made of “rain-coat” material and suiting fabric “milana” to create a collection of modern youth clothing. The artistic and decorative design of the clothing collection with 3D volumetric ornaments was formed, and modern clothing models that meet the tastes of youth, fashion trends, and market requirements were developed.

Digital Twin-Based Alternate Ego Modeling and Simulation: Eva Herzigová as a 3D MetaHuman Avatar

Abstract Due to Dimension Studios and Unsigned Group, by likeness and movement digitization, the human supermodel Eva Herzigová’s highly realistic metahuman and 3D digital twin lead to perpetual career extension (e.g., on virtual runway shows by catwalk replication or in advertising campaigns by particular pose adoption), including in virtual worlds such as metaverse spaces, by use of extended reality technologies, in terms of virtual clothing, digital hair, skin texture, facial and body expressions, and makeup styling as avatar appearance and persona. In this paper, we show how, by likeness capturing (e.g., signature walk by motion capture shoot for face and body movement tracking) and virtual clothing, Eva Herzigová’s hyperreal 3D avatar (lifelike 3D digital human clone or realistic virtual human) is configured with subsequent restyled hair and make-up, 3D clothing modeling, and extended reality fashion shows on virtual catwalks or campaign shoots. We clarify that photographic reference materials and a sensor-based motion capture suit assisted Metahuman Creator in capturing facial and motion data for Eva Herzigová’s digital avatar, configuring realistic depiction and virtual activations of beauty standards, in addition to digital likeness, signature style, talent representation, and narrations, typifying digital human creation and presence in virtual worlds (e.g., for metaverse-based shoots). We conclude that Eva Herzigová’s hyperrealistic 3D digital human twin and MetaHuman avatar operate as a styled virtual alter ego and versatile personal brand extension by motion capture technologies for immersive virtual fashion shows, live video streams and broadcast, and digital wearable modeling.

Advances in personalized modelling and virtual display of ethnic clothing for intelligent customization

Abstract To enhance the intelligence of the ethnic clothing customization industry and provide online solutions for clothing ordering and fashion shows, this study analyses the latest developments in the fields of digital human models, 3D clothing models, and virtual clothing displays in recent years. This study focuses on analysing the categories and processes of three related technologies in clothing virtual display and compares the advantages and disadvantages of four human body modelling methods. Reshaping the facial features of a 3D body scan model and binding the bones of each part is key to providing a personalized body model. In addition, 3D clothing modelling technology is classified into three methods. The 3D fabric scan data are used to establish realistic seam information and process details simulation and use hybrid modelling methods to virtually sew 2D samples, which can enhance the realism of clothing models. The virtual display platform for ethnic clothing is constructed through layered design based on the Unity3D engine, matching versions and virtual display. The above research ideas can solve bottleneck problems in clothing customization. This has important guiding significance for opening up the ethnic clothing customization market, promoting the intelligence of the customization industry, and promoting ethnic clothing culture.

Modeling Realistic Clothing From a Single Image Under Normal Guide.

We propose a robust and highly realistic clothing modeling method to generate a 3D clothing model with visually consistent clothing style and wrinkles distribution from a single RGB image. Notably, this entire process only takes a few seconds. Our high-quality clothing results benefit from the idea of combining learning and optimization, making it highly robust. First, we use the neural networks to predict the normal map, a clothing mask, and a learning-based clothing model from input images. The predicted normal map can effectively capture high-frequency clothing deformation from image observations. Then, by introducing a normal-guided clothing fitting optimization, the normal maps are used to guide the clothing model to generate realistic wrinkles details. Finally, we utilize a clothing collar adjustment strategy to stylize clothing results using predicted clothing masks. An extended multi-view version of the clothing fitting is naturally developed, which can further improve the realism of the clothing without tedious effort. Extensive experiments have proven that our method achieves state-of-the-art clothing geometric accuracy and visual realism. More importantly, it is highly adaptable and robust to in-the-wild images. Further, our method can be easily extended to multi-view inputs to improve realism. In summary, our method can provide a low-cost and user-friendly solution to achieve realistic clothing modeling.

Thermomechanical Collaborative Design and Experimental Verification of a Sandwich Structure with a Polyimide Foam Core

This paper introduces the technology and performance of a new sandwich structure consisting of carbon fiber composite face sheets, a polyimide foam core, and an aluminum honeycomb panel with both heat insulation and load-bearing functions. The heat-resistant performance of the sandwich structure was evaluated. The vacuum thermal conductivity of the sandwich structure in the vertical direction ranges from 0.54 to 0.92 (W/[m⋅K]) with increasing temperature from −170 to 135°C. A multilayer finite element model of carbon fiber cloth, polyimide foam, and aluminum honeycomb was established. Finally, a comprehensive evaluation of the mechanical and thermal insulation performance of the sandwich structure was conducted through random vibration testing and thermal vacuum testing. The results showed that the sandwich structure had good stiffness and thermal insulation performance, successfully verifying the effectiveness of the collaborative design.

Study of the use of neural network in combination with graphical programs in light industry

Technology, currently at the peak of its development, provides an opportunity to increase the level of education of modern man. As a consequence, the development of new clothing models using neural networks is also becoming a more efficient way to optimize design processes. By applying neural networks, results can be achieved quickly and easily. Artificial intelligence empowers and optimizes work in the fashion industry: it recognizes clothes from photos, accesses virtual fitting sessions, and, without much effort, easily selects the perfect size. The program will automatically design the pattern and technically reproduce patterns by size, height and fullness. Artificial intelligence will require less creative work from the author, and the designers themselves will be able to spend more time on their creativity. The research paper utilizes Microsoft Bing to facilitate the creation of new designs for clothing patterns. It is an artificial intelligence that can be used to create images, solve problems and get new ideas. With the help of this program it is planned to create an experimental series of Kyrgyz national costumes, the details of which will be designed in the graphic program of Grafic 12 clothing designer.

Features of designing a Component Element of the National women's Azerbaijani Costume - Kelagai Scarfs

Presents studies of the parameters of the structure and design of Azerbaijani national scarves kelagai. A historical analysis of the development of kelagai production has been carried out, which reflects the ethnographic, historical, artistic and technological features of folk art. Proposals have been developed for the use of kelagai in the design of modern fashionable women's clothing. The features of making kelagai scarves have been studied and the factors influencing their structure and structure, as well as their role in the formation of national characteristics of modern fashion, have been identified. The structure and structure of kelagai scarves was studied based on the texture of the fabric structure. The conducted research makes it possible to use the national traditions of making kelagai scarves in the design of modern clothing, as one of the iconic and symbolic elements of folk culture and an important component of the artistic and compositional patterns of shaping promising models of modern women's clothing, as well as for the dynamic development of material and spiritual culture.

Development of Digital Show Methodology

The article proposes a method for creating a digital display of a clothing collection using modern information technologies. The authors analyzed technologies that can be used to display the collection in a digital environment. Particular attention is paid to 3D modeling and animation, as well as the integration of virtual models and scenes into videos. An algorithm is proposed that includes the stages of creating the image of the collection and selecting avatars, animation of the process of passing models in designed clothes across the stage in three-dimensional space. The purpose of this work is to consider the features of using neural networks for generating images, online resources and three graphic editors: a general-purpose 3D editor Blender, a 3D editor for designing and visualizing clothing Clo3D and a program for color correction, editing and video processing DaVinci Resolve. The main task was to study the possibilities of these technological solutions for creating motion design for a virtual fashion show of a clothing collection. Development algorithms are described at different stages: from searching for an artistic image using neural networks and digital design to developing animation design and video post-processing. The research materials contribute to understanding the possibilities of digital design in the field of fashion. The described tools allow you to create realistic clothing models, demonstrate animation and fabric simulation, and present collections in a dynamic format. In conclusion, recommendations are offered for the use of computer graphics for the effective development of virtual screenings. The article is intended for specialists in the field of costume and fashion design, computer graphics, virtual reality, as well as for anyone interested in innovative approaches to the organization and presentation of digital products.

Resistivity model of carbon fiber cloth considering the effect of interlayer contact resistance

A resistivity model of a plain-woven carbon fiber dry cloth that considers the interlayer contact resistance is proposed for induction heating and welding analysis of carbon fiber reinforced thermoplastics. Although the cloth, which is regarded as a single-layer thin plate, does not exhibit homogeneous resistivity, homogenized effective thin-shell resistivity is required to analyze the thin-shell complex structures of aircraft. The influence of the direction angle and strip width on the effective resistivity can be expressed using this model. The mechanism for the generation of a large difference in resistivity between the 0° and 45° directions of the cloth is clarified. The proposed model is verified through comparison with experimental results. According to the induction heating experiments, the overall temperature distribution of the cloth is predicted well by the shell finite element analysis using the effective resistivity.

РОЗРОБКА ЕКСПЕРТНОЇ СИСТЕМИ ДЛЯ ВИБОРУ СТИЛЮ ОДЯГУ НА ОСНОВІ KANSEI ENGINEERING

This research is devoted to implementation of the expert systems for rapid change in production of women's outerwear. Factorial analysis and the cluster analysis are used for the structuring of the subject environment. Analysis of the emotional component of the garment on the basis of KE can be achieved through cluster analysis. Such an approach will identify models of clothes based on perception and emotional needs of the consumer. Thus, the main goal of the study was achieved by forming decision-making rules aimed at solving the sub-task of selecting ready-to-wear models based on the Kansei Engineering methodology. The analysis and identification of the formed database of photos of ready-made clothing models was carried out by means of cluster analysis of intergroup relations using the Euclidean distance, which allows for the identification of conditional groups of relatedness of products by design attributes. The obtained final centers of the clusters together with the information about the color solution of the clothing models allowed us to build a product model of an expert system for choosing clothing that meets the formulated wishes of the target consumer. The object of the study is the women's fashion dresses in spring-summer 2023 season. Thus, a general collection was formed which amounted to 66 photos of fashion dresses for subsequent questionnaire. Work with the software product takes place in the form of a dialogue in the form of consecutive system questions and user answers. The developed system can be used both for the selection of ready-made clothes (for example, in stores, including online stores), and for the selection of a prototype for the development of a new model of clothing that meets the aesthetic needs of the consumers.

DESIGN OF CORPORATE CLOTHING: AESTHETIC AND ERGONOMIC ASPECTS

The article is devoted to the process of designing corporate clothing for employees and students of higher education of the Khmelnytskyi National University, which is considered as a system of "corporate style → corporate image → corporate clothing and its identity", including logos, colors, graphic elements and graphic standards of visual identification of the KhNU and their structure. Scientific novelty. The most characteristic artistic and compositional solutions and the typology of graphic elements used in the corporate style of KhNU as a means of communication for the creation of the image and brand of the higher education institution were analyzed and highlighted. Practical meaning. The developed systematization of the graphic elements of the corporate style of KhNU made it possible to generalize their artistic and compositional features and use them in the design of men's and women's corporate clothing for employees and students of higher education of the Khmelnytskyi National University for visual representation and broadcasting of the values and main characteristics of the educational institution. The process of creating a sketch and harmonizing the project image of corporate clothing with the help of an information model, which allows to present it as a single symbolic system with the help of modern practices of visual presentation of fashion innovations, is demonstrated. The design stages of corporate clothing samples are presented with the help of computer technologies, which provide clothing designers with wide visual and artistic opportunities in the context of modern communication practices. Artistic and design, constructive and technological solutions for men's and women's corporate clothing models were developed, which were produced under the conditions of the Ukrainian fashion brand ARTY Sport using a calender thermopress for sublimation. Testing of experimental samples of products took place at the exhibition dedicated to the Day of Science (Khmelnytskyi, KhNU, 2022). Research materials can be used in the development of corporate style and design of modern corporate clothing. The results of the study can be used in further scientific research on the design of other types of corporate clothing for employees and students of higher education of the Khmelnytskyi National University.

Female Models of TV Fashion Commercials Promote Modern Lifestyle to Young Female College Students of Lahore

This study is about how TV commercials and their fashion elements affect, how women are shown. The current study looks at how people look up to their favourite TV commercial actress and how they want to be like her in terms of style and personality. Employing quantitative survey responses from 360 women who usually watch fashion commercials on TV. The data show that hairstyles, makeup, and the clothes models wear are very popular with female viewers. A study found that a lot of people who watch TV buy the clothes, accessories, and makeup that their favourite stars wear, and 92% of those people are women. A lot of people are also happy to have these things. A study on fashion and how models are shown in TV ads also found that viewers thought the way female models and actresses were portrayed on TV went against religious beliefs.

PENGARUH SIKAP UTILITARIAN DAN SIKAP HEDONIS TERHADAP MINAT BELI PRODUK BRANDED BEKAS DI SURAKARTA

Many types of clothing models create a feeling of desire for ownership among consumers, even though used clothing and frugal lifestyles are also increasingly being implemented in society around the world. Thrifting has become an important trend because it offers individuals an alternative to fulfill their fashion needs and desires. This surge in popularity has given thrift stores a boost, creating a sustainable market for used clothing. This increasing trend is expected to continue, with projected total product sales in 2022. This study aims to test utilitarian behavior on the desire to buy and provide an evaluation of luxury lifestyles on the desire to buy. This study uses a quantitative type with clear and focused calculations, this study was conducted with the main focus being Solo Raya students, the way to collect respondents was purposive sampling. Adopted from a study by Malhotra (2006:291), the questions asked must have a sample of 10 x or at least 5 x the questions, the sample calculation was carried out and found 90 respondents. This study uses main data with results using a questionnaire whose scale is Likert. Data findings were processed using the SPSS program. The findings of this study are that utilitarian behavior has a positive and significant impact on the desire to make a purchase. Luxury lifestyle behavior has a positive and significant impact on the desire to make purchases.

Digital Apparel Try-Ons: A Technological Odyssey into the World of Virtual Dressing Rooms and Consumer Engagement

This individual can now enjoy internet shopping whenever they want and from anywhere in the world thanks to the invention of smartphones and tablets. Online shopping has unquestionably taken the place of conventional methods for purchasing apparel and daily necessities. People benefit from a reputation as they pick internet buying. Almost all online retailers offer payment on delivery, free shipment, and special rates these days. These internet merchants have eliminated the hassles of parking, stuck in traffic, and standing in line to make purchases. They have also helped folks who consistently lament their lack of time. This is the primary justification for why most consumers now shop online. They may easily access a wide choice of affordable prices here, and they also get quick customer service and free home delivery. There is no denying that these are a few of the alluring aspects that draw customers in. Even though there is a minor problem that can make people lose interest in online buying, they might not be able to try on garments in such situations. By establishing a virtual changing room setting, the aim is to improve accessibility and time efficiency for trying on clothing. Our proposed methodology consists of three main components: skin color recognition, model alignment, and user image extraction from the video stream. Through user extraction, we may create an augmented reality environment by taking the user area out of the video stream and superimposing it on top of a simulated world within the user interface. To match the 2D cloth models with the use of scaling, rotation, and positioning using the 3D locations of the joints.

Fashion issues in the columns of the magazine «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» (1924–1941)

Introduction. The invasion of Ukraine by an aggressor country has emphasized the importance of Ukrainian identity and prompted a reassessment of Soviet Ukrainian fashion journalism, highlighting its distinctiveness and value globally. Relevance of the study. This article examines Soviet women’s press, focusing on fashion, through Ukrainocentric and anti-Bolshevik perspectives. It aims to showcase Ukrainian fashion journalism during the early years of totalitarianism using «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» [«Peasant woman of Ukraine» / «Collective farmer of Ukraine»] as an example and identify unique features in fashion media. Methodology. The study analyzes «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» from 1924 to 1941 using historicism, systematicity, socio-cultural analysis, and historical-anthropological approaches. Results. It has been investigated that materials on fashion in «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» from 1924 to 1941 (52 issues out of 407) were categorized into genres including photo reports, articles, reviews, and practical guides. Topics covered: (1) standards of female beauty in the Ukrainian SSR; (2) handicraft production of clothing/fabrics; (3) clothing models and their manufacturing technology; (4) advice on dressing and caring for clothing; (5) cutting and sewing guides; (6) industrial clothing / fabric production; (7) propaganda of totalitarian fashion; (8) advertising of sewing equipment; (9) schemes for manual embellishment of clothing; (10) schools / courses of cutting and sewing. Conclusions. The peculiarities of fashion coverage in «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» during the period of indigenization, collectivization, and at the beginning of World War II have been clarified. It has been revealed that despite «Selianka Ukrainy» / «Kolhospnytsia Ukrainy» primarily being a party tribune and the most ideologically engaged magazine among other press publications for women in Soviet Ukraine, the fashion issue aimed at the readership of rural areas was covered in small concentrations and filtered through the Bolshevik censorship in the columns of the magazine.

Impact of 3D printing technology on the field of apparel design in the framework of intellectual property law

Abstract 3D printing technology, with the development of science and technology, the application in the field of clothing can not be counted. In this paper, based on the design technology route of 3D printing clothing, we first establish parametric 3D three-dimensional clothing. After determining the constraints of the clothing curve, we generate the clothing parametric surface by interpolation and then adjust the horizontal mesh to generate the three-dimensional clothing model. The Gragh Cut algorithm is used to segment the garment image and extract the 3D garment contour features. Finally, the exploration of the aesthetic implication and modeling characteristics of 3D printed garments is launched, and examples analyze the aesthetic characteristics and comfort of 3D printed garments under different materials according to the characteristics of local decoration, functionality, parameterization, and so on. The impact of 3D printing technology on clothing design within the framework of intellectual property law is also being explored. The results show that the thermal comfort range of 3D printed garments is 24.1~26.6°C, and 3D printing materials with larger TCR can better regulate the comfort of garment design. This study explores parametric garment design using 3D printing, which is innovative.

A Methodology for Preparing a Proposed Digital Art Portfolio for Children’s Fancy Clothing Models

A Methodology for Preparing a Proposed Digital Art Portfolio for Children’s Fancy Clothing Models

Changes in Online Shopping Behavior for Ready-Made Clothes among Saudi Consumers following COVID-19

This study emphasizes the influence of the environment, society, and individual characteristics on consumer behaviour, particularly among Saudi individuals who possess their own customs, traditions, values, and perceptions of clothing purchasing decisions. However, technological advancements, specifically the Internet, have played a role in exposing Saudi society to the cultures of other societies, and influencing consumer behaviour. This study focuses on understanding the factors that have led to a shift in consumer behaviour towards online clothing shopping in the Kingdom of Saudi Arabia following the COVID-19 pandemic. The research aims to contribute to knowledge about the post-pandemic behaviour of Saudi consumers, specifically in terms of increased online purchases of ready-made clothes, and align with the goals of the Kingdom's Vision 2030, which aims to foster a thriving economy. The study employs a descriptive analytical approach. The study population consists of Saudi consumers in general across the Kingdom of Saudi Arabia, and a random sample of 125 individuals aged 18-47 and above was selected to complete the questionnaire. The key findings from the study highlight that consumers prefer online shopping due to the convenience, time and effort savings, ease of ordering, and wide range of choices in terms of clothing models and colours. Online purchasing is also perceived as more cost-effective, offering discounts and coupons that physical markets may not provide. Based on these findings, the study recommends enhancing the accuracy of clothing product descriptions on dedicated online platforms for selling clothes. Additionally, it suggests diversifying the clothing options available in local markets to cater to different tastes and age groups and creating websites specifically for local markets.

Assistance in Modiste and Makeup Business Management In Lemahdadi, Bangunjiwo, Bantul

Abstract. This community service program aims to increase the economic value of the residents of Griya Citra Asri Housing in general and Micro Business Partners of Make-up and Fashion Tailors “Jelita” in particular. Partner Business is in the field of make-up and fashion, located in Lemahdadi Hamlet, Bantul Regency, Special Region of Yogyakarta. The partners have run make-up and fashion services by taking place at home. Partners’ problems started when the COVID-19 pandemic occurred, where the make-up and fashion business was the business that felt the most impact from the pandemic because almost no one was holding events. Problems from the production aspect are the partners do not have make-up cases that are easy to carry, some make-up equipment is almost out of date, and lack of basic materials for sewing purposes. Partners do not have a catalog of clothing models, so customers have no alternative in choosing the model to be sewn. The partner’s problems from the marketing aspect are: the nameplate is damaged and not functioning, it does not have packaging media that is the identity of the partner, and the partner does not yet have a business card. The problem with the financial management aspect is that partners have not kept financial records properly. The activities offered to solve this problem are 1) Procurement of easy-to-carry make-up suitcases, procurement of make-up and sewing tools, 2) Making Instagram an online marketing medium, 3) Together with partners designing logos and names, making and installing nameplates, 4) Procurement of packaging with partner identity, 4) Provision of business cards, 5) Conducting make-up training, and 6) Financial recording assistance. The results of the community service activities are: 1) An elegant and large make-up suitcase is available along with additional make-up tools and sewing materials; 2) Online marketing media is available in the form of Instagram; 3) Partner nameplates are attached; 4) Availability of plastic packaging with partner’s identity; 5) Availability of partner name cards; 6) Organized cosmetology training; and 7) Organized financial recording assistance. After the COVID-19 pandemic, the government has freed the public to hold events. This has had a positive impact on increasing orders for bridal make-up, graduations, and sewing orders. As of September 2023, orders are fully scheduled to reject orders, and partners’ income has increased significantly by up to 400% compared to before mentoring.