Fashion and Textiles最新文献

Accurate digital reconstruction of the human body is critical for a wide range of applications, including apparel design, ergonomic evaluation, and biomedical engineering. This study introduces a novel 3D human modeling framework that combines skeleton-driven deformation algorithms with high-resolution 3D body scan data to generate anatomically accurate virtual bodies. The proposed method was benchmarked against two widely adopted modeling systems—the Skinned Multi-Person Linear (SMPL) model and the CLO 3D avatar—using a representative female scan from the Size Korea anthropometric dataset as a reference. Comparative evaluations were conducted across multiple dimensions, including anthropometric measurement accuracy and geometric surface fidelity. The SMPL model consistently overestimated key body dimensions due to its reliance on global average parameters, while the CLO 3D model tended to underestimate volumes, particularly in anatomically complex regions. Both models exhibited limitations in reproducing local morphological features such as curvature transitions and subcutaneous contours. In contrast, the proposed model achieved superior alignment with the reference scan, demonstrating statistically non-significant deviations in most measurements and enhanced surface realism. Additionally, an automated measurement module was developed to extract standardized anthropometric values from the mesh with high precision. These results validate the effectiveness of the proposed system as a robust tool for human-centered applications requiring high-fidelity modeling and optimized fit in mass-customized product development environments.

Clothing hinders heat and moisture transfer from the skin to the environment, potentially disrupting thermoregulation during exercise in hot conditions. We therefore sought to determine whether wearing a newly developed T-shirt, designed to enhance breathability when dampened with sweat, would improve the clothing microclimate and thermoregulatory responses during a hot outdoor running. Eleven male distance runners were evaluated over two separate days, each involving two consecutive 30-min outdoor running sessions at a target heart rate of 120–130 bpm. A single-blind randomized crossover design was employed wherein participants wore a conventional polyester T-shirt (CON) during the first session on both days but changed into either the new fabric T-shirt (Dry Aeroflow [DAF]) or another CON for the second session. To account for uncontrolled outdoor conditions, responses during the first sessions of both days were compared, confirming no significant day-to-day differences in most variables. In the second session, wearing DAF reduced the intra-clothing humidity on the chest (p = 0.004) and back (p = 0.048) by 4.3% and decreased the upper arm skin temperature by 0.3 °C (p = 0.033) compared to wearing the CON. However, no differences in gastrointestinal temperature, mean skin temperature, or whole-body sweat rate were observed between the T-shirts (all p ≥ 0.178). These findings suggest that although the functional T-shirt improved the clothing microclimate and decreased the local skin temperature, these effects were likely marginal and did not significantly affect systemic thermoregulatory responses (e.g., core temperature, sweat rate) during outdoor running in a hot environment.

Addressing the increasingly severe issue of textile waste requires innovative, user-centered recycling solutions that combine expert knowledge with consumer participation. This study developed and validated a user-centered creative recycling fashion design process that leverages emotional connections to clothing products to promote sustainable practices. The methodology involved engaging users emotionally with clothing waste materials through text highlighting, material weaving, and product design, followed by comprehensive evaluations. Users handcrafted new materials from waste through weaving, which were digitally twinned and transformed into final products. The users and experts evaluated the process and products on a 7-point Likert scale across various categories, including user satisfaction, emotional response, product design, public practicability, educational applicability, and sustainability. The results demonstrated a 76% success rate in recycling clothing waste, an 8% increase in positive emotions, and an 11% decrease in negative emotions toward the final products. User satisfaction averaged 6 out of 7 points, and experts rated the process at 60% for practicability, 90% for educational program applicability, and 70% for sustainability. This study highlights the importance of integrating emotional awareness and user participation in fostering sustainable fashion practices and proposes a model that can be widely applied in design education and the fashion industry.

Effective identification of body shape and size is essential for designing fitted compression garments. However, existing leg sizing systems often neglect shape variations. This study developed a novel shape-clustered leg sizing (SCLS) system for mass customization fit of compression garments. Applying 3D digital body scanning technology, we analyzed the anthropometrical features of 480 lower limbs from 240 adults (mean age 55.16 ± 4.65 years). Key features, such as gradients and angles of turning points that define the outline curves of the lower limbs, were employed to classify leg shapes above the knee, at the knee, and below the knee, using the K-means method that was selected from nine different clustering algorithms based on clustering quality assessment. Size distributions for each leg shape were quantified using a multiple-percentile approach. The SCLS system identified 12 distinct leg shapes and 8 sizes per leg shape, highlighting morphological variations in the lower extremities. This approach provides a sophisticated and practical sizing method that enhances garment fit by inclusively considering both shapes and sizes. The developed leg shape-based sizing matrix also identified groups of highly correlated leg shapes, facilitating rapid dimensional transformation across shapes and thereby improving fitting efficiency in the mass customization of compression garments.

This study compares fashion design processes involving shape memory textiles (SMTs) compared to ones involving conventional textiles (CTs). The primary objectives were to identify barriers to the adoption of SMTs in the fashion industry from designers' perspectives, assess the impact of SMTs on conventional design processes, and develop strategies to enhance the use of SMTs in fashion design. Data collection involved three phases: design tasks using CTs, design tasks using SMTs, and in-depth interviews with 22 fashion design professionals. Findings revealed that designers typically followed a sequential process for both conventional and SMTs, starting with gathering references, sketching, and creating technical drawings. However, while concurrent reference gathering and sketching were common in CTs, for SMTs, additional research stages were required due to uncertainties in materials and challenges in keyword searches. Designers often shifted focus from trend-centric design to exploring functional possibilities with SMTs, potentially leading to fewer trendy designs. Major challenges included defining and classifying smart textiles including SMTs, visualizing shape-changing properties, and a lack of practical experience with these innovative materials. The insights form a guideline for collaborative efforts among manufacturing, design, and educational sectors to ensure that SMTs are integrated into the fashion industry.

In fashion design education, students are taught how to prepare 2D patterns to create 3D garments through flat pattern making and draping courses. However, there is a lack of focus on garment fitting, and students are expected to have a natural intuition regarding fit corrections. As a result, most students graduate without gaining the crucial skill of reading misfit signs in 3D and acting on correcting 2D patterns accordingly. For this reason, in the current study, we developed a novel skill test instrument based on the Extended Skill Cycle Model using 3D simulations to quantify students' fit correction skills. We evaluated the instrument’s reliability and validity for its suitability in teaching and research applications. Fit correction questions with virtual garment simulations were designed, and participants were provided with three potential pattern modification options, out of which one option corrected garment fit. The reliability of the questionnaire was determined using Cronbach’s alpha, and validity was analyzed by comparing pre- and post-training scores, comparing scores of participants with different levels of experience, and calculating the item difficulty and discrimination index. There was a positive correlation between the pre- and posttraining test scores, confirming that the instrument could measure the increase in skill level. In addition, the pre-training scores of participants at the very minimum patternmaking experience level were lower than those of participants with higher experience levels. Therefore, our instrument could be used in patternmaking courses in fashion design education to measure student skill development.

This study explores consumer behavior and decision-making in the context of blockchain technology (BT) adoption within the second-hand luxury market. Specifically, it investigates how BT can reduce uncertainty and enhance transparency in second-hand luxury transactions based on a mental accounting theory approach. A partial least squares structural equation modeling analysis (N = 511) was conducted, focusing on consumers’ perceived quality of traceable information obtained through BT (i.e., product diagnosticity, informativeness, and trustworthiness) and their perceived risks in second-hand luxury online shopping (i.e., financial risk, social risk, time risk, contamination risk, performance risk). The findings confirm that the perceived quality of traceable information enhances blockchain transparency, reducing uncertainty in online second-hand luxury shopping. This leads consumers to perceive BT-enabled platforms as valuable, increasing their intention to adopt them. The study also examines the moderating effect of price consciousness on consumer perceptions of BT and decision-making. The results of the multi-group analysis confirm that consumers with lower price consciousness are more influenced by the diagnosticity provided by BT in terms of product transparency, while for consumers with higher price consciousness, trustworthiness emerges as a more significant factor. This research offers insights into the application of blockchain technology in the second-hand luxury market, particularly in enhancing transparency and consumer trust. It emphasizes the importance of retail strategies that communicate the advantages of BT and alleviate consumer risks associated with the online second-hand luxury market while recognizing consumers' varying levels of price consciousness.

Global demand for K-Fashion has paralleled the rise and fall of numerous South Korean firms. Drawing on the corporate life cycle and news priming theories, this study explores how online news on insolvent K-Fashion firms shapes the stock market’s business cycle. In Study 1, we conducted dynamic topic modeling to analyze 35,960 news articles from 2010 to 2022. The findings revealed three categories of chronological topic changes, including sales performance improvement strategies, organizational restructuring, and the impact of global fashion labels. In Study 2, we employed multiple regression analysis to measure how insolvent K-Fashion firms’ news and macroeconomic factors affect the clothing firms in the Korea Composite Stock Price Index. The results demonstrated that equity disclosure, bankruptcy, Samsung C&T’s governance changes, and business diversification significantly influenced the stock market index. Integrating both natural language processing and structured data in this study offers practical insights to fashion firms and stock market investors.

The use of plant-based agents in textile finishing has garnered substantial global interest, primarily driven by growing environmental concerns. However, applying natural pigments and finishing agents in industrial processes poses notable challenges, particularly with respect to achieving sufficient color intensity and retaining functional properties during washing and light exposure. To address these challenges, this study investigates the potential of ultraviolet (UV) light treatment in textile finishing as a method to enhance functional properties. Cotton fabrics treated with chestnut shell extract—recognized for its bioactive compounds—were subjected to UV irradiation for predetermined periods to induce curing effects. The treated fabrics were then evaluated for color intensity, surface morphology, and functional properties. Results revealed that UV exposure significantly enhanced both color intensity and functional properties, including antibacterial and antioxidant capabilities. Optimal results were achieved after 40 min of UV irradiation, beyond which improvements plateaued. Importantly, this study demonstrates that UV irradiation alone provides sufficient energy to achieve the desired functional enhancements, thereby eliminating the need for additional heat-curing steps and efficient functional wet-process for cotton fabrics with agro-waste ‘chestnut shell’ extract was achieved.

The need for personalized protective footwear for patients undergoing cast surgery has led to this research exploring efficient 3D printing methods for custom-made products. Focusing on these patients, this study developed and evaluated a prototype for a custom-made protective cast shoe, demonstrating the practical applicability of 3D printing in this field. The study developed a cast shoe sole using a multi-material printing method with TPU (ThermoPlastic Polyurethane) and ABS (acrylonitrile butadiene styrene). Each prototype's design was tailored based on individual body data, incorporating features like a 3D printed toe cover and a lock to enhance user convenience. The external design of each prototype cast shoe was customized to the participant's cast shape and design preferences. Participants reported that the prototype provided stability and improved cast protection. It was also positively evaluated for usability aspects like weight reduction, mobility, and comfort. Regarding aesthetic satisfaction, the custom-made design received high ratings. In response to the feedback, the final prototype incorporated various improvements to enhance comfort and aesthetics. The prototype cast shoe also considered elements like ventilation, weight reduction, and shortened production time, achieved by including specific patterns in its upper part. This research proposes a 3D printing-based efficient production method for custom-made products, highlighting their practical applicability from a user perspective. This study is significant for bridging the gap between academic research and practical application in the field of 3D printing.