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Similar Journals
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Fashion and Textiles
Journal Prestige (SJR): 0.185  Citation Impact (citeScore): 1 Number of Followers: 14  Open Access journalISSN (Online) 2198-0802 Published by SpringerOpen  [229 journals]
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- Diffusion of fashion trend information: a study on fashion image mining
from various sources
Abstract: Abstract 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.
PubDate: 2024-08-16
- Development and printing of three-dimensional electrodes for the high body
adhesion of smart wear
Abstract: Abstract 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.
PubDate: 2024-08-09
- Improved flame retardancy and mechanical properties of bacterial cellulose
fabrics via solvent exchange and entrapment of zein and gluten
Abstract: Abstract 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.
PubDate: 2024-08-05
- Multi-pose dress simulation of fully-fashioned knitted skirt based on loop
structure
Abstract: Abstract 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.
PubDate: 2024-07-30
- Opportunities and challenges of smart technology for small independent
fashion retailers: a reflexive thematic analysis using the
technology-organization-environment framework
Abstract: Abstract 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.
PubDate: 2024-07-16
- Date estimation of fabrication and repair of Color garments encouragement
banner
Abstract: Abstract 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 CaCO3 and BaSO4. 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.
PubDate: 2024-07-03
- Enhanced content-based fashion recommendation system through deep ensemble
classifier with transfer learning
Abstract: Abstract 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.
PubDate: 2024-07-01
- Functional performance of a novel compression top for female throwing
athletes
Abstract: Abstract 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.
PubDate: 2024-06-28
- The neighborhood advantage: exploring the impact of negotiation costs on
transaction satisfaction in local second-hand trading platforms
Abstract: Abstract This study aimed to investigate the determinants of transaction satisfaction and intention to use local second-hand marketplace platforms, focusing on the impact of negotiation costs and the moderating influence of users’ sense of their neighborhood. Building on transaction cost theory, we conceptualized negotiation costs as a multidimensional construct that encompassed economic, performance, time, and psychological costs. Our findings revealed that economic and time costs had a significant negative effect on transaction satisfaction, whereas performance and psychological costs did not exhibit such an impact. Furthermore, transaction satisfaction positively influenced users’ intention to use the platform, thereby mediating the relationship between negotiation costs and intention to use. Additionally, we found that users’ sense of their neighborhood enhanced transaction satisfaction and acted as a moderator, attenuating the negative impact of negotiation costs on satisfaction. For users with a high sense of my neighborhood, the negative impact of economic, performance, and time costs on transaction satisfaction was attenuated. These findings contribute to a deeper understanding of consumer behavior on local second-hand trading platforms and emphasize the importance of social cues in shaping transaction satisfaction and intention to use. The implications of our study offer valuable insights for second-hand platform operators.
PubDate: 2024-06-03
- Exploring direct and indirect cultural experiences: a study of global
consumers’ Hanbok experience and engagement mediated via YouTube
Abstract: Abstract With the rapid development of technology and media, people’s experiences of other cultures have shifted from direct only to a combination of direct and virtual experiences. This study investigated how global consumers directly and indirectly experience other cultures, mediated by YouTube. It focused on the consumer experience of the Korean traditional costume, the Hanbok. YouTube content focusing on Hanbok experiences was collected to understand the direct Hanbok experiences, while viewers’ reactions to YouTube content (i.e., views, likes, and comments) were collected to understand indirect Hanbok experiences. The analysis involved two steps. First, the latent Dirichlet allocation topic modeling algorithm in Python was used to extract topics from direct and indirect Hanbok experiences. Second, simple regression analysis was conducted using numerical data derived from textual data through linguistic inquiry and word count to examine the relationship between direct Hanbok experiences via YouTube and viewer engagement as an indicator of indirect Hanbok experiences. The results showed that YouTubers’ Hanbok experiences were categorized into seven topics, namely novelty, sensory, daily, cultural, trial, pleasing, and intellectual experiences. Indirect Hanbok experiences were identified based on dimensions of consumer engagement, such as social, cognitive, learning, behavioral, and affective engagement. The regression analysis results revealed that cultural and affective Hanbok experiences significantly impacted consumer engagement. This study expanded the scope of research by exploring indirect cultural experiences mediated by a media platform.
PubDate: 2024-05-21
- Investigating parameters affecting the real and virtual drapability of
silk fabrics for traditional Hanbok
Abstract: Abstract This paper presents research into the parameters affecting the real and virtual drapability of silk fabrics for traditional Hanbok. The KES-FB (Kawabata evaluation system of fabric) and the CLO (3D fashion design software) fabric kit system were used to evaluate the physical properties. The relationships between physical properties and the drape coefficient of silk fabrics were statistically analyzed. It was determined whether the objectified real fabric data could be used and applied as a database when implementing virtual clothing using a 3D virtual clothing program. The KES-FB properties and CLO fabric kit results indicated that the bending property and weight were significantly correlated with the drape coefficient. The bending rigidity and weight per unit area were influential parameters of the drape coefficient. The regression analysis results of both the KES-FB and the CLO fabric kit revealed that bending rigidity and thickness were statistically significantly correlated with the drape coefficient. The bending property was the most determining parameter for the drape coefficient of silk fabrics. A statistically significant difference between the real and virtual drape coefficients of stiffer silk fabrics was found. In the CLO 7.1 program, the accuracy of drape implementation of virtual fabrics was found to be useful when the bending stiffness of the actual fabric was less than 0.089 gf·cm2/cm and the elasticity was more than 1.03%. The results revealed that more research on the program modeling method considering the mechanical and physical properties of the real fabric and its structure is needed.
PubDate: 2024-05-21
- Fabric perceptions in digital contexts: exploring the correlation between
certainty and accuracy
Abstract: Abstract As the fashion industry increasingly adopts digital platforms, fashion designers face challenges in digitally exploring and selecting fabrics. This transition underscores the complexities in digitally capturing fabrics. Extending our previous research, this study specifically examined the relationship between designers' certainty and their perceptual accuracy in digital fabric evaluations because uncertainty can diminish confidence in digital assessments, leading to an over-reliance on physical samples and slowing digital progress. The research employed a comparative analysis, engaging designers in both digital and physical fabric evaluations. The objectives of this study were: to evaluate the precision of digital fabric representations against physical assessments; to assess designers' psychological certainty and its correlation with assessment accuracy; and to identify fabric attributes that are most prone to misrepresentation digitally. The findings indicated that there is no direct correlation between evaluation accuracy and psychological certainty. Notably, for drapability, digital evaluations exhibited both high levels of certainty and accuracy, implying potential enhancements in digital representations of other textile attributes. The results of this study will contribute to the development of advanced digital fabric evaluation systems that can accurately replicate the physical fabric experience, thus ensuring a high level of certainty. This, in turn, will enhance the reliability and effectiveness of fabric selection on digital platforms.
PubDate: 2024-05-14
- Braille glove design toward interdisciplinary approach for visually
impaired people: developing independent sensing design with MXene and
embroidery
Abstract: Abstract This study developed a wearable device designed to aid visually impaired people (VIP) who are unfamiliar with Braille and/or struggle to learn and use Braille employing the design thinking process. VIP often face challenges in learning and using Braille, and even with existing equipment, including smart technologies, they frequently experience aesthetic and emotional discomfort beyond usability and accessibility. The interdisciplinary research team conducted mixed-method research following the double diamond module of the design thinking process. Initially, qualitative interviews to analyze VIP’s Braille utilization were conducted to derive design factors. Subsequently, identified design factors were applied to conduct experiments with appropriate embroidery methods and connection structures using MXene-coated yarn. The strategies effectively enhanced pressure sensing performance by two times and realized highly localized and independent sensing to enable Braille recognition. Finally, a specific design for the wearable Braille recognition glove was proposed that incorporated these findings. The proposed wearable glove, equipped with a high-performance Braille recognition sensor, is designed to enhance the psychological and aesthetic satisfaction of VIP. The glove’s universal design and accompanying technical support allow VIP to maintain their existing Braille reading methods while enjoying enhanced performance and avoiding social stigmas.
PubDate: 2024-04-10
- Reduction of greenhouse gas emissions by optimizing the textile dyeing
process using digital twin technology
Abstract: Abstract Owing to global warming and pollution concerns, reducing the environmental footprint of the textile and fashion industry has received considerable attention. Within this industry, the dyeing and finishing processes contribute significantly to greenhouse gas emissions and water pollution. This study introduces an innovative approach to address these challenges by leveraging digital twin technology to optimize the textile dyeing process. A smart analysis module was developed to continuously monitor and analyze the dyeing parameters in real time to implement control actions to automatically reduce the process duration. Integrated with this module, a digital twin of the dyeing machine enabled the real-time monitoring of energy consumption and process parameters. A case study comparing the traditional dyeing process with the optimized process was conducted. The results showed that dyeing time was reduced by ~ 17.5% without compromising dyeing quality. Energy consumption and greenhouse gas emissions were also reduced by ~ 12.1% when using the optimized process. This study offers a practical and sustainable option for textile dyeing, particularly for small and medium-sized enterprises.
PubDate: 2024-04-02
- Fake human but real influencer: the interplay of authenticity and
humanlikeness in Virtual Influencer communication'
Abstract: Abstract Recently, there has been a lot of interest in industry and academia in virtual influencers (VIs). This study aimed to augment the understanding of VI marketing by exploring the relationship between VI’s characteristics (i.e., their humanlikeness level and operator type), their social media post characteristics (i.e., emotional expression, use of pronouns, use of punctuation marks), and consumer engagement. The analysis of three popular VIs’ Instagram profiles and posts revealed that VIs with less humanlike appearances tend to exhibit stronger positive emotional expressions. Interestingly, the level of humanlikeness in appearance was not associated with VI's other post characteristics, suggesting other intrinsic factors (e.g., the VI’s character and virtual universe) may play a pivotal role. Whether a brand operates the VI or not made a statistically significant difference in the VI’s post characteristics. Assessment of user engagement metrics (i.e., number of likes and comments) showed that users prefer hyper-realistic VIs and VIs operated by non-brand agencies, underscoring the importance of perceived authenticity in the digital realm. The emotions expressed by VIs, along with their use of punctuation, were positively related to user engagement.
PubDate: 2024-03-15
- Cooling performance measurements of different types of cooling vests using
thermal manikin
Abstract: Abstract This study compared the effectiveness of five commercially available cooling vests using three distinct thermal manikin test protocols. In addition, the constraints associated with each test protocol were elucidated, facilitating the identification of suitable evaluation methods for the different cooling vests. The cooling performances of the vests were evaluated using three thermal manikin test scenarios, incorporating the adaptations from Ciuha et al. (Ergonomics 64:625–639, 2021) and ASTM F2371-16, along with a modified protocol simulating the hot and humid weather in a South Korean summer. The results revealed substantial variations in the cooling performance across different test protocols, highlighting the importance of carefully selecting thermal manikin test methods. Moreover, the specific cooling vests exhibited immeasurable performance in certain test methods, which presents the limitations inherent in each testing scenario. For example, when evaluated with a non-sweating thermal manikin, the air-cooling vests exhibited the worst cooling performance, showing an average cooling rate of 1.0 W and cooling durations of five minutes. In contrast, the same vests demonstrated superior performance when assessed using the ASTM F2371-16 method, revealing an effective cooling rate of 114.8 W and sustained cooling durations exceeding eight hours. These results emphasize the lack of a one-size-fits-all evaluation method for cooling vests and the need for accessible guidelines to inform decision-makers aiming to enhance workplace safety and comfort.
PubDate: 2024-03-12
- A soft wearable exoglove for rehabilitation assistance: a novel
application of knitted shape-memory alloy as a flexible actuator
Abstract: Abstract We developed the knitted shape-memory alloy (SMA) as a flexible actuator and applied it to a soft wearable exoglove for rehabilitation assistance. Based on user needs and anthropometric data, we custom-designed the exoglove for three hemiplegic patients using the knitted-SMA actuator and evaluated its bending performance, gripping force and wearability under the four simulation conditions (S1–S4). To address the specific needs, both SMA plain- and double-knit modules were applied to the exoglove based on the patients’ finger joint range of motion (ROMs). The joint ROMs of all fingers increased by 13.71% and the skin temperature increased by 2.21 °C after actuating the glove (p = 0.006). The gripping force increased as much as 55.01%, when compared to the baseline. All patients were able to don and doff the developed glove independently, and positively evaluated their subjective satisfaction and thermal perception. The findings suggested the potential of the knitted SMA for the future development of soft wearable robots.
PubDate: 2024-03-08
- Sustainable threads: analyzing the impact of corporate social performance,
CSR message authenticity and information transparency on purchase
intentions
Abstract: Abstract With the deepening exploration of the study on corporate social responsibility (CSR), CSR has progressively gained significance for enterprises. This study aims to analyze the impact of fashion companies’ information disclosure on the intention of Chinese consumers who purchase clothing by providing information related to the environment, suppliers, manufacturing processes, and pricing. An experimental study was conducted using stimuli on 412 consumers in Shandong Province, China. The research results are as follows. First, it was found that consumers’ perception of Corporate Social Performance (CSP) has a positive effect on the authenticity of Corporate Social Responsibility (CSR) message and consumers’ subjective norms. Second, CSR message authenticity and consumer subjective norms mediate the perception of CSP in the process of leading to purchasing activities. Third, consumers perceive the authenticity of a company’s CSR activities according to the degree of transparent information disclosure of the cost and manufacturing process of its products. This study shows that the CSR information provided by the company is authentic depending on the degree of CSR information transparency of the company, and that it leads to a purchase intention when consumers judge that the company’s CSR activities are authentic. Accordingly, it is suggested that many fashion companies’ CSR activities lead to product purchases when they are continuously conducted on environmental, social problems, and transparency in the production process.
PubDate: 2024-03-07
- Intelligent techniques and optimization algorithms in textile colour
management: a systematic review of applications and prediction accuracy
Abstract: Abstract Based on a selection of 101 articles published from 2013 to 2022, this study systematically reviews the application of intelligent techniques and optimization algorithms in textile colour management. Specifically, the study explores how these techniques have been applied to four subfields within textile colour management: colour matching and prediction, colour difference detection and assessment, colour recognition and segmentation, and dye solution concentration and decolourization. Following an introduction to intelligent techniques and optimization algorithms in textile colour management, the study describes the specific applications of these techniques in the field over the past decade. Descriptive statistics are used to analyse trends in the use of these techniques and optimization algorithms, and comparative performances indicate the effectiveness of the techniques and algorithms. The study finds that the primary intelligent techniques used in the field of textile colour management include artificial neural networks (ANN), support vector machines (SVM) such as SVM, LSSVM, LSSVR, SLSSVR, FWSVR, fuzzy logic (FL) and adaptive neuro-fuzzy inference systems (ANFIS), clustering algorithms (e.g., K-means, FCM, X-means algorithms), and extreme learning machines (ELM) such as ELM, OSLEM, KELM, RELM. The main optimization algorithms used include response surface methodology (RSM), genetic algorithms (GA), particle swarm optimization (PSO), and differential evolution (DE). Finally, the study proposes a comparison of the performance of intelligent techniques and optimization algorithms, summarizes the relevant research trends, and suggests future research opportunities and directions, besides stating the limitations of this paper.
PubDate: 2024-03-06
- Thermal effects of rayon and polyester hijabs in warm-humid and hot-dry
environments
Abstract: Abstract Hijabs are predominantly worn in hot environments, but very rare studies on the thermo-physiological effects of wearing hijabs are found. We investigated the effects of wearing rayon and polyester hijabs on wearers’ physiological and subjective responses in warm-humid and hot-dry environments. Eight females (25.0 ± 2.3 y in age, 157.7 ± 4.1 cm in height, and 50.8 ± 7.5 kg in weight) participated in three conditions (No hijab, rayon hijab, and polyester hijab condition) during exercise in two thermal environments: a warm-humid (30 °C and 70%RH) and a hot-dry environment (36 °C and 30%RH), which generated an identical wet-bulb globe temperature at 27 °C. The results showed that no differences in rectal temperature were found among the three clothing conditions or the two environments, whereas auditory canal temperature was higher in the hot-dry than in the warm-humid environment (P < 0.05) with no differences between the polyester and rayon hijab conditions. Mean skin temperature and neck temperature were higher for the polyester condition than for the rayon condition in the warm-humid environment (P < 0.05). Sweat rate was greater for the polyester hijab condition than for the no hijab condition in the warm-humid environment (P = 0.049). Heart rate was greater for the polyester hijab condition than for the other two conditions in the warm-humid environment (P < 0.05). Subjects felt more thermally uncomfortable when wearing the polyester hijab than the rayon hijab in the warm-humid environment. Greater thermal burden of the polyester hijab when compared to the rayon hijab was marked in the warm-humid environment, not in the hot-dry environment.
PubDate: 2024-03-04
