Journal articles: 'Smart garment'

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Kim, Sungmin. "Development of a computer-aided design software for smart garments." International Journal of Clothing Science and Technology 29, no. 6 (November 6, 2017): 845–56. http://dx.doi.org/10.1108/ijcst-02-2017-0011.

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Purpose The purpose of this paper is to develop a computer-aided design software for smart garments. Design/methodology/approach A circuit design software with graphical user interface and an automatic Arduino code generator has been developed. Findings Complex circuit design for smart garment can be performed using an intuitive graphical user interface. Sophisticated C codes for activating the smart garment can be generated without in-depth knowledge of C language and electronic devices. Research limitations/implications Circuit wiring is performed manually. Further work will be focused on the generation of an algorithm that can find the overlap-free design of complex circuit. Practical implications Smart garments with complex functions are expected to be designed more easily without in-depth knowledge of electronic circuits and computer programming. Social implications Researchers of smart garment will be able to concentrate on the actual function of smart garments rather than coding the complex C programs. Originality/value This is the first computer-aided smart garment design software that can not only design the circuit but also generate the computer codes.

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Chang, Chin-Wei, Patrick Riehl, and Jenshan Lin. "Alignment-Free Wireless Charging of Smart Garments with Embroidered Coils." Sensors 21, no. 21 (November 5, 2021): 7372. http://dx.doi.org/10.3390/s21217372.

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Wireless power transfer (WPT) technologies have been adopted by many products. The capability of charging multiple devices and the design flexibility of charging coils make WPT a good solution for charging smart garments. The use of an embroidered receiver (RX) coil makes the smart garment more breathable and comfortable than using a flexible printed circuit board (FPCB). In order to charge smart garments as part of normal daily routines, two types of wireless-charging systems operating at 400 kHz have been designed. The one-to-one hanger system is desired to have a constant charging current despite misalignment so that users do not need to pay much attention when they hang the garment. For the one-to-multiple-drawer system, the power delivery ability must not change with multiple garments. Additionally, the system should be able to charge folded garments in most of the folding scenarios. This paper analyses the two WPT systems for charging smart garments and provides design approaches to meet the abovementioned goals. The wireless-charging hanger is able to charge a smart garment over a coupling variance kmaxkmin=2 with only 21% charging current variation. The wireless-charging drawer is able to charge a smart garment with at least 20 mA under most folding scenarios and three garments with stable power delivery ability.

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Cao, Li Hui, and Ying Lin Li. "The Development and Application of Smart Garment Materials." Advanced Materials Research 129-131 (August 2010): 472–75. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.472.

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Priority has been giving to smart garment materials in modern textile clothing industries. The definition of smart garment material can be described as the material which has the sensory capacity to the stimulation of the surroundings or the environmental elements and can make responses accordingly and meanwhile, maintain the typical features and garment functions. Sensory capacity, feedback and response are the three main elements of the smart garment material. Five relative mature and widely used smart materials, including shape memory materials, waterproof and moisture permeable materials, temperature adaptable materials, photo chromic and thermo chromic materials, and electronic materials, were thoroughly reviewed in terms of concept, theory and up-to-date applications. The aim was to give an overview to national garment designers and manufacturers in China and to explore the potential of developing smart garments for the national market.

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Al Mahmud, Abdullah, Tharushi Indeewari Wickramarathne, and Blair Kuys. "Effects of smart garments on the well-being of athletes: a scoping review protocol." BMJ Open 10, no. 11 (November 2020): e042127. http://dx.doi.org/10.1136/bmjopen-2020-042127.

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IntroductionWith the advancements in wearable electronics, electronically integrated smart garments started to transpire in our daily lives. Smart garment technologies are incorporated into sportswear applications to enhance the well-being and performance of athletes. Smart garments applications in the sports sector are increasing, and the variety of smart garment applications available in the literature is overwhelming. Therefore, it is essential to compare the vast array of technologies incorporated in smart garments for athletes to understand the knowledge gaps for future studies. The protocol paper aims to examine the smart garments used in the sports domain to enhance the health and well-being of athletes.Methods and analysisRelevant studies will be retrieved using predefined search terms from Scopus, Web of Science, Science Direct, PubMed and IEEE Xplore. The retrieved articles will be eliminated in two phases: title and abstract screening and full-text screening. The included articles will be primary studies published in the English language within the last 10 years. Subsequently, the included articles will be further studied to extract data using a data extraction form. The extracted data will undergo a thematic analysis. Also, quantitative analysis will be carried out using descriptive statistics.Ethics and disseminationThe results of this review will provide a comprehensive understanding of smart garment concepts used in the sports domain. The findings of this scoping review will be shared through a journal publication and a conference presentation. Ethical approval is not needed for this scoping review.Protocol registration numberDOI 10.17605/OSF.IO/34MF2 (https://osf.io/34mf2)

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Abro, Zamir Ahmed, Zhang Yi-Fan, Chen Nan-Liang, Hong Cheng-Yu, Rafique Ahmed Lakho, and Habiba Halepoto. "A novel flex sensor-based flexible smart garment for monitoring body postures." Journal of Industrial Textiles 49, no. 2 (March 6, 2019): 262–74. http://dx.doi.org/10.1177/1528083719832854.

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Posture monitoring and investigation in wearable technology play a significant role in the analysis of body postures. This study aims to develop a new flexible smart garment realized by stitching flex sensors at different joint positions for sensing flexion angles in static and kinematic motions. Calibration tests were conducted by systematically flexing wrist, elbow, and knee joints, respectively. A male subject then wore the developed flexible smart garment to sense different body postures. The measured data from flex sensors inside the smart garment exhibited immediate response after each joint movement of the male subject. The minimum measurement sensitivities of flex sensors mounted at the knee, elbow, and wrist was 0.94°, 0.8°, and 0.56°, respectively. Measured flexion angle changes were within 80°, 95°, and 140° ranges from knee, elbow, and wrist. Both stand and walk tests at a velocity of 4 km/h indicate that the flexion angles of three joint positions include wrist, elbow, and knee joints can be effectively monitored using the flex sensor–based smart garment. Flex sensor can be employed to monitor body joint movement and future to identify different postures of body joints in practice. The flexible smart garments cannot be washed.

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Wang, Yong Rong, and Pei Hua Zhang. "Measurement the Contact Pressure of Compression Garment on a Smart Mannequin System." Advanced Materials Research 627 (December 2012): 572–76. http://dx.doi.org/10.4028/www.scientific.net/amr.627.572.

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A smart mannequin with the dimension of a standard female body was used for measuring garment pressure. Compression garments made from five kinds of elastic knitted fabrics which are purchased commercially. Results showed that the pressure distributions exhibited obvious differences were varied, and the elongation caused pressure variations among the specimens. This smart mannequin system provides a novel tool for evaluating the pressure performance of compression garments, and give reliable data for functional product development.

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Semjonova, Guna, Janis Vetra, Aleksandrs Okss, Aleksejs Katashevs, and Vinita Cauce. "RELIABILITY OF THE DAID SMART SHIRT FOR SHOULDER GIRDLE MOTION ASSESSMENT IN HIGH STRING PLAYERS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 4 (May 21, 2019): 268. http://dx.doi.org/10.17770/sie2019vol4.3863.

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Smart garment system is efficient for upper body movement monitoring during simple tasks. There is a lack of literature on smart textile garments being reliable for shoulder girdle motion assessment in advanced motor tasks such as high string performance. The aim of the article was to examine the reliability of the DAid Smart Shirt for Shoulder Girdle Motion Assessment during advanced motor tasks such as high string performance. Methods: 14 volunteer violinists aged 18.6 (SD 2.1) with a body mass index 20.05 (SD 2.3) were recruited. The violinists performed a legato bowing task. The DAid smart shirt worked as the assessment tool: a compression garment with textile strain sensors sewn onto it. Cronbach alpha coefficient, Interclass Correlation Coefficient were calculated to assess the within-session test-retest reliability. Results: An excellent and good result test-retest reliability was assessed in 57% of the violinists, for other 43%, the ICC and Cronbach alpha coefficient was less than 0.59. Conclusion: the DAid Smart shirt is reliable for shoulder girdle motion assessment during high string performance. The smart textile garment should be customized and suitable for the body in order to assess shoulder girdle motion during high level or advanced activities such as high string performance.

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Khanom, Khadija, Md Tariqul Islam, Abdulla Al-Towfiq Hasan, Shah Mahmud Sumon, and Mohammad Rakibul Islam Bhuiyan. "Worker Satisfaction in Health, Hygiene and Safety Measures Undertaken by the Readymade Garments Industry of Bangladesh: A Case Study on Gazipur." Journal of Business Studies 03, no. 01 (2022): 93–105. http://dx.doi.org/10.58753/jbspust.3.1.2022.6.

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Purpose: The main purpose of the study is to explore the effects of health, hygiene and safety measures on worker satisfaction in readymade garments sector in Gazipur district of Bangladesh. Methodology: Based on review of literatures and collection of 260 usable responses the study is conducted by partial least squares structural equation modeling (PLS-SEM) method using Smart PLS 3.0. Findings: The findings of the study have revealed that health and hygiene measures significantly influence workers’ satisfaction towards readymade garments sector in Bangladesh. However, the study results show that safety measures insignificantly influence the workers" satisfaction towards garment Sector in Bangladesh. Practical implications: The study might be useful for garment industry operators in formulating strategies of improving health and Hygiene measures, and safety measures to improve workers' satisfaction in garment sector in Bangladesh. Originality: The study has uniquely presented a case comprising the factors helping devising a strategy for industry professionals through measuring the integrated effects of health, hygiene and safety measures on workers’ satisfaction of readymade garment sector in Bangladesh.

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RUDOLF, Andreja, Andrej CUPAR, and Zoran STJEPANOVIČ. "SUPPORTING DIGITALIZATION IN GARMENT ENGINEERING THROUGH VIRTUAL PROTOTYPING." TEXTEH Proceedings 2019 (November 5, 2019): 10–14. http://dx.doi.org/10.35530/tt.2019.02.

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This contribution deals with the new trends related to the digitalization in garment engineering. More than ten years ago can be found complaints of clothing companies on the lack of effective CAD software to design garments directly in 3D and to provide pattern designer tools for shape modelling and simulation of cloth behavior. Today, with a mass customization, e-commerce, advances in virtual reality applications, the virtual garment development is strongly desired in order to optimize apparel industry’s design and development processes. To survive in global competitive market, garment manufacturers are forced to transform their manufacturing processes toward, having a more flexible production system to meet the rapid changes in the global market, and started the transition to a new technological level through digitalization advances and challenges of Industry 4.0. Described are the possibilities for exploiting advances in digitization in garment engineering through virtual prototyping and production of smart clothing.

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Mondal, Subrata, Jinlian Hu, Zhuohong Yang, Yan Liu, and Yau-shan Szeto. "SHAPE MEMORY POLYURETHANE FOR SMART GARMENT." Research Journal of Textile and Apparel 6, no. 2 (May 1, 2002): 75–83. http://dx.doi.org/10.1108/rjta-06-02-2002-b007.

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Thermal-responsive shape-memory polyurethane consists of two phases, a thermally reversible phase for maintaining a transient shape and fixed phase structure for recovering the original shape. The use of shape memory polyurethane in clothing is a novel concept. The aim of this paper is to introduce the application of shape memory polyurethane to smart clothing, whose thermal insulation value could be change depending on the change of temperature of the external environment to give comfort regardless of weather change. Thus a review on the shape memory polyurethane is introduced: the mechanism of the shape memory polyurethane is described; the difference between ordinary polyurethane and shape memory polyurethane, the research on shape memory polyurethane and its potential application to smart garment are summarized; the work being carried out in the Hong Kong Polytechnic University are also introduced.

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SUKRAN, KARA, YESILPINAR SEVIL, SENOL YAVUZ, and AKKAN TANER. "Design of an electronically equipped sailing garment for improved safety." Industria Textila 68, no. 01 (March 1, 2017): 23–30. http://dx.doi.org/10.35530/it.068.01.1319.

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In the last decades, various smart garments with electronic functions were developed to be used in medicine, army and entertainment areas. Some of these garments contained classical electronic devices and they were called as wearable computers. Besides, some studies were done by introducing the functional properties directly to the textiles. But these researches are limited and still in progress because of the durability problems of the functional effect and other technical problems. In this work, an electronic system was developed and integrated to a sailing garment in order to provide functional properties to the sailing garment. Such a functional garment was produced to enhance the safety of the sailors. The electronic system was designed to detect the sailors’ presence on the boat and give an alarm message in case they fall overboard. For this purpose, microcontrollers, Bluetooth modules, GPS (Global Positioning System) modules, GSM (Global System for Mobile Communications) modules and screens were used to build the system. Also a heart rate sensor and a temperature sensor were added to the system design to obtain the heart rate values of the sailors and give information about the temperature of the surrounding environment. Miniaturized sized electronic components were used to be able to integrate the total system onto the garment. After obtaining a useful prototype, an electronic system was implemented to the sailing garment without impairing the waterproofness, low weight and appearance of the original garment. Usage of this functional garment system is expected to speed up the rescue operation and increase the efficiency for the safety of sailors. Also this system can be adapted to other team activities such as mountaineering, soldier operations and rescue teams therefore the application areas of this concept can be broadened.

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Rudolf, A., Z. Stjepanović, and A. Cupar. "DESIGN OF GARMENTS USING ADAPTABLE DIGITAL BODY MODELS." TEXTEH Proceedings 2021 (October 22, 2021): 9–17. http://dx.doi.org/10.35530/tt.2021.09.

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In recent years, the 3D design software has been mostly used to improve the garment design process by generating virtual 3D garment prototypes. Many researchers have been working on the development of 3D virtual garment prototypes using 3D body models and involving the 3D human body scanning in different postures. The focus of research in this field today relies on generating a kinematic 3D body model for the purposes of developing the individualized garments, the exploration of which is presented in this paper. The discussed area is also implemented in the Erasmus+ project OptimTex - Software tools for textile creatives, which is fully aligned with the new trends propelled by the digitization of the whole textile sector. The Slovenian module focuses on presenting the needs of digitization for the development of individualized garments by using different software tools: 3D Sense, PotPlayer, Meshroom, MeshLab, Blender and OptiTex. The module provides four examples: 3D human body scanning using 3D photogrammetry, 3D human body modelling and reconstruction, construction of a kinematic 3D body model and 3D virtual prototyping of individualized smart garments, and thus displays the entire process for the needs of 3D virtual prototyping of individualized garments. In the OptimTex project, the 3D software Blender was used to demonstrate and teach students how to construct the "armature" of the human body as an object for rigging or the virtual skeleton for a 3D kinematic body model, using the knee as an example.

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Parkova, Inese, Aleksandrs Vališevskis, Inese Ziemele, Uģis Briedis, and Ausma Vilumsone. "Improvements of Smart Garment Electronic Contact System." Advances in Science and Technology 80 (September 2012): 90–95. http://dx.doi.org/10.4028/www.scientific.net/ast.80.90.

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In order to improve comfort of smart garment, rigid electronic boards can be replaced with textile circuits, which use conductive yarns. When one tries to improve wearing comfort, often the most problematic items turn to be connection points of the electronic circuitry. The aim of this research is to determine behaviour of conductive yarns after they have been sewn into textile material, as well as to determine their suitability for the intended applications. In order to determine the quality of a conductive connective seams resistance has been measured (in Ω) under the influence of various variable factors: type of yarn, length of stitch, number of layers, type of seam. Besides that seam durability tests were carried, which show resistance changes over time and after washing.

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Gough, Paul, Feng-Yu Hsu, and Yong Xue Hsieh. "Data Generating Garments Using Low Cost Sensors." AATCC Journal of Research 8, no. 1_suppl (September 2021): 30–36. http://dx.doi.org/10.14504/ajr.8.s1.4.

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Today's clothes are passive items that we wear, visually interesting, but otherwise silent. What if our clothes could generate data and connect directly to the digital world? What if these clothes could generate sufficient data to drive data hungry artificial intelligence (AI) techniques such as deep learning? This would enable smart apparel that could coach you at a sport, or monitor your health, or just help you look after your clothes. In this study, we describe a data generating sports top that can be the basis of a smart coach. The construction of the garment and its use of low-cost sensors and wireless transmission of data is described. Its use for measuring the upper body pose to analyze the bowling action of cricketers is demonstrated, along with considerations of how this could be a basis for combining smart garments and AI.

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Belbasis, Aaron, Franz Konstantin Fuss, and Jesper Sidhu. "Muscle Activity Analysis with a Smart Compression Garment." Procedia Engineering 112 (2015): 163–68. http://dx.doi.org/10.1016/j.proeng.2015.07.193.

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Medina, Adán, Juana Isabel Méndez, Pedro Ponce, Therese Peffer, Alan Meier, and Arturo Molina. "Using Deep Learning in Real-Time for Clothing Classification with Connected Thermostats." Energies 15, no. 5 (March 1, 2022): 1811. http://dx.doi.org/10.3390/en15051811.

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Thermal comfort is associated with clothing insulation, conveying a level of satisfaction with the thermal surroundings. Besides, clothing insulation is commonly associated with indoor thermal comfort. However, clothing classification in smart homes might save energy when the end-user wears appropriate clothes to save energy and obtain thermal comfort. Furthermore, object detection and classification through Convolutional Neural Networks has increased over the last decade. There are real-time clothing garment classifiers, but these are oriented towards single garment recognition for texture, fabric, shape, or style. Consequently, this paper proposes a CNN model classification for the implementation of these classifiers on cameras. First, the Fashion MNIST was analyzed and compared with the VGG16, Inceptionvv4, TinyYOLOv3, and ResNet18 classification algorithms to determine the best clo classifier. Then, for real-time analysis, a new dataset with 12,000 images was created and analyzed with the YOLOv3 and TinyYOLO. Finally, an Azure Kinect DT was employed to analyze the clo value in real-time. Moreover, real-time analysis can be employed with any other webcam. The model recognizes at least three garments of a clothing ensemble, proving that it identifies more than a single clothing garment. Besides, the model has at least 90% accuracy in the test dataset, ensuring that it can be generalized and is not overfitting.

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Knowles, Caitlin G., Beomjun Ju, Busra Sennik, Amanda C. Mills, and Jesse S. Jur. "Simulation techniques for smart textile predictive design." IOP Conference Series: Materials Science and Engineering 1266, no. 1 (January 1, 2023): 012008. http://dx.doi.org/10.1088/1757-899x/1266/1/012008.

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Abstract Smart textiles must combine both textile and electronic systems into one product. This presents challenges as each industry has their own design and evaluation standards that are not compatible with one another. As such, smart textile designers tend to rely heavily on the production and iteration of physical prototypes to create a product that meets the specified design criteria. One emerging tool in the apparel industry that has potential to shorten the prototyping cycle is 3D CAD for textiles, also known as 3D garment simulation. While typically used for apparel design and e-commerce, this work presents two case studies that demonstrate how 3D garment simulation can be used as a tool for predictive design of smart textile products. In particular, how strain-dependent properties such as resistance and contact pressure can be predicted and how designs can be optimized to achieve certain performance metrics.

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LAGĖ, Agnė, Kristina ANCUTIENĖ, Rūta PUKIENĖ, Eva LAPKOVSKA, and Inga DĀBOLIŅA. "Comparative Study of Real and Virtual Garments Appearance and Distance Ease." Materials Science 26, no. 2 (January 13, 2020): 233–39. http://dx.doi.org/10.5755/j01.ms.26.2.22162.

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Nowadays, virtual try-on is an irreplaceable technology in fashion industry, so it is very important to prove virtual try-on matching with the real garments. Therefore, the aim of this research was to compare garment fit using virtual try-on and scanning technologies. For this reason, garment visual appearance and distance ease between straight fit dress and mannequin in respect to fabrics properties were investigated. Women mannequins in different sizes were scanned by 3D scanner VITUS Smart XXL without and with the real straight fit dresses made from five different woven fabrics. Fabrics mechanical properties were defined by KES-F. Scanned mannequins were covered with the same size and fabric virtual dresses by Modaris 3D (CAD Lectra). Distance ease of virtual and scanned garments was compared in bust and waist cross-sections. It was defined that distance ease values at bust girth of real and virtual dresses differed till 29.9 % (1.16 cm), while at waist varied from 7.3 % (0.51 cm) to 47.3 % (4.30 cm) because of wrinkles in this area. Generally, appearance of the virtual dresses was similar to real dresses with some differences in garment shape fluency, however by increasing of the mannequin size, similarities decreased. It was assumed that very high shear rigidity G could not be very well reflected in 3D CAD system, therefore differences between virtual and real dresses appearance occurred. The general appearance and form of bust and waist cross-sections of virtual dresses with fabric 03 had less similarities comparing with real dresses due to high G value. So, comparative study showed that the accuracy of virtual try-on was quite useful comparing to real garments, if shear rigidity of fabrics was lower than 1.6 N/m*º and tensile strain in warp direction was higher than 1.80 %.

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Helmer, Richard J. N., Michael A. Mestrovic, Damian Farrow, Stuart Lucas, and Wayne Spratford. "Smart Textiles: Position and Motion Sensing for Sport, Entertainment and Rehabilitation." Advances in Science and Technology 60 (September 2008): 144–53. http://dx.doi.org/10.4028/www.scientific.net/ast.60.144.

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Innovation in textiles and clothing has embodied various combinations of new and existing materials to meet conventional needs of comfort and fashion. Interactive and intelligent textiles are emerging as many new textile materials are being used to form sensors in garments to intimately interact with the human form. Interactive textiles typically contain sensors located within a garment to detect physiological functions that are wirelessly connected to digital infrastructure and application specific software. These devices can be realised in conventional garments and have scope for application in diverse fields including entertainment, education, sport, military and medicine. Position and Motion Sensing devices will be discussed for each application, in terms of the value proposition, performance requirements, regulations, and existing technology. A case study of an entertainment device that uses limb motion to achieve an imaginary instrument, the Wearable Instrument Shirt (WIS) will be discussed in this context. The WIS combines a wearable sensor interface with software to map gestures and audio data files to form an easy-to-use gesture driven instrument that allows real-time interactive musical performances without any need for significant instrument or computer skills.

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Geethanjali, D., R. Priya, and R. Bhavani. "Smart Contract for Digital Garment Design using Blockchain and Digital Right Management." Indian Journal of Science and Technology 15, no. 24 (June 27, 2022): 1195–212. http://dx.doi.org/10.17485/ijst/v15i24.84.

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Parkova, Inese, Andrejs Kašurins, Aleksandrs Vališevskis, and Ausma Viļumsone. "Making Decisions On Arrangement Of Electronics In Smart Garment." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 5, 2015): 202. http://dx.doi.org/10.17770/etr2011vol2.995.

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This paper describes the prototype of a smart jacket and offers several alternative ways of designing and arranging of electronic elements, which are based on ergonomic design guidelines, using principles of external and internal stress zoning in garments. Seven variants of arrangement are proposed, which are compared using decision making methods AHP and ELECTRE. One of the goals of this research is to carefully aggregate the available information and to rank different variants of arrangement using a set of criteria as objectively as possible. Comparing several variants of arrangement of electronic elements in clothing enables one to determine the most suitable variants according to the selected criteria.

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Veeramuthu, Loganathan, Wan-Ling Li, Fang-Cheng Liang, Chia-Jung Cho, Chi-Ching Kuo, Wei-Cheng Chen, Ja-Hon Lin, et al. "Smart garment energy generators fabricated using stretchable electrospun nanofibers." Reactive and Functional Polymers 142 (September 2019): 96–103. http://dx.doi.org/10.1016/j.reactfunctpolym.2019.06.008.

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Imbesi, Silvia, and Sofia Scataglini. "A User Centered Methodology for the Design of Smart Apparel for Older Users." Sensors 21, no. 8 (April 16, 2021): 2804. http://dx.doi.org/10.3390/s21082804.

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Smart clothing plays a big role to foster innovation and to. boost health and well-being, improving the quality of the life of people, especially when addressed to niche users with particular needs related to their health. Designing smart apparel, in order to monitor physical and physiological functions in older users, is a crucial asset that user centered design is exploring, balancing needs expressed by the users with technological requirements related to the design process. In this paper, the authors describe a user centered methodology for the design of smart garments based on the evaluation of users’ acceptance of smart clothing. This comparison method can be considered as similar to a simplified version of the quality function deployment tool, and is used to evaluate the general response of each garment typology to different categories of requirements, determining the propensity of the older user to the utilization of the developed product. The suggested methodology aims at introducing in the design process a tool to evaluate and compare developed solutions, reducing complexity in design processes by providing a tool for the comparison of significant solutions, correlating quantitative and qualitative factors.

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Wang, Xiujuan, Yaming Jiang, Siyi Xu, Hao Liu, and Xiaozhi Li. "Fiber Bragg Grating-Based Smart Garment for Monitoring Human Body Temperature." Sensors 22, no. 11 (June 2, 2022): 4252. http://dx.doi.org/10.3390/s22114252.

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Body temperature provides an insight into the physiological state of a person, and body temperature changes reflect much information about human health. In this study, a garment for monitoring human body temperature based on fiber Bragg grating (FBG) sensors is reported. The FBG sensor was encapsulated with a PMMA tube and calibrated in the thermostatic water bath. The results showed that FBG sensors had good vibration resistance, and the wavelength changed about 0–1 pm at a 0.5–80 Hz vibration frequency. The bending path of the optical fiber after integration with clothing is discussed. When the bending radius is equal to or greater than 20 mm, a lower bending loss can be achieved even under the bending and stretching of the human body. The FBG sensor, the optical fiber, and the garment were integrated together using hot melt glue by the electric iron and the hot press machine. Through experiments of monitoring human body temperature, the sensor can reach the human armpit temperature in about 10–15 min with the upper arm close to the torso. Because it is immune to electromagnetic interferences, the smart garment can be used in some special environments such as ultrasonography, magnetic resonance (MR), and aerospace.

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Kim, Eung Tae, and Sungmin Kim. "Development of an interactive shirt for self-directed motor learning." International Journal of Clothing Science and Technology 32, no. 3 (January 1, 2020): 402–11. http://dx.doi.org/10.1108/ijcst-02-2019-0021.

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Purpose The purpose of this paper is to develop a framework for an interactive clothing that offers a self-directed learning environment in which learners can practice exercises in a time and cost-efficient manner. Design/methodology/approach To verify the validity of the framework, an interactive shirt has been developed that can help its wearer practicing certain motor skills in a self-directed manner. This shirt enables the wearer to set reference body postures and to compare current posture with them and can notify whether its wearer repeats them correctly or not through vibrotactile feedback. Findings The interactive shirt prototype developed in this study will offer an environment in which learners can practice exercises in a time and cost-efficient manner. Originality/value The smart garment framework developed in this study consists of sensor-actuator module, switch device and control software. As this framework is easily scalable, it is expected that it can be used for various smart garment projects where an interaction between the garment and its wearer is needed.

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Simegnaw, Abdella Ahmmed, Yetanawork Teyeme, Benny Malengier, Tamrat Tesfaye, Hundessa Daba, Kaledawit Esmelealem, and Lieva Van Langenhove. "Smart Shirt for Measuring Trunk Orientation." Sensors 22, no. 23 (November 23, 2022): 9090. http://dx.doi.org/10.3390/s22239090.

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Improper cycling posture is linked to a variety of spinal musculoskeletal diseases, including structural malformation of the spine and back discomfort. This paper presents a novel smart shirt integrated tri-axial gyroscope and accelerometer that can detect postural variation in terms of spinal curvature changes. To provide accurate feedback to the wearer and improve the wearer’s correct movement, the garment is able to recognize trunk body posture. The gyroscope/accelerometer was placed around the upper and mid trunk of the user to record tri-axial angular velocity data. The device can also be used to help determine the trunk bending angle and monitor body postures in order to improve optimal orientation and position. The garment enables continuous measurement in the field at high sample rates (50 Hz), and the sensor has a large measurement range (16 g, 2000°/s). As electronic components are non-washable, instead of encapsulating them, a detachable module was created. In this, magnets are embedded in the jersey, and allow the positioning and removal of the sensor. The test results show that the average trunk-bending angle was 21.5°, and 99 percent of the observed angle fell within the standard (ranging from 8° to 35°). The findings demonstrate the feasibility of employing the smart shirt sensor to estimate trunk motions in the field on a regular basis.

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Linti, Carsten, Sandra Blocher, Robert Downes, and Martina Bandte. "Intelligent Garment based ECG Monitoring with AI support for Elderly." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 793–96. http://dx.doi.org/10.1515/cdbme-2022-1202.

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Abstract Smart underwear was designed to meet the demands of elderly people be monitored in outpatient environments. Especially the demands of women have been addressed, who have heart failure but who still want to live in their home. The smart bra comprises textile electrodes and an ECG event recorder. The recorder transmits the data to the doctor only if artificial intelligence (AI) has discovered critical events in ECG signals. An implemented convolutional neural network, which uses the wavelet transformation of the ECG as input and to determine an interference index for this ECG signal is implemented. The smart bra can be part of new remote monitoring services such as e-consultation or as a new home-based follow-up to ensure seamless patient care after hospital or rehabilitation stays. Healthcare personnel has better access to the patient´s digital ECG data without direct consultation, independently of where the patient lives and the patient can feel safer.

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Angelucci, Alessandra, Matteo Cavicchioli, Ilaria A. Cintorrino, Giuseppe Lauricella, Chiara Rossi, Sara Strati, and Andrea Aliverti. "Smart Textiles and Sensorized Garments for Physiological Monitoring: A Review of Available Solutions and Techniques." Sensors 21, no. 3 (January 26, 2021): 814. http://dx.doi.org/10.3390/s21030814.

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Several wearable devices for physiological and activity monitoring are found on the market, but most of them only allow spot measurements. However, the continuous detection of physiological parameters without any constriction in time or space would be useful in several fields such as healthcare, fitness, and work. This can be achieved with the application of textile technologies for sensorized garments, where the sensors are completely embedded in the fabric. The complete integration of sensors in the fabric leads to several manufacturing techniques that allow dealing with both the technological challenges entailed by the physiological parameters under investigation, and the basic requirements of a garment such as perspiration, washability, and comfort. This review is intended to provide a detailed description of the textile technologies in terms of materials and manufacturing processes employed in the production of sensorized fabrics. The focus is pointed at the technical challenges and the advanced solutions introduced with respect to conventional sensors for recording different physiological parameters, and some interesting textile implementations for the acquisition of biopotentials, respiratory parameters, temperature and sweat are proposed. In the last section, an overview of the main garments on the market is depicted, also exploring some relevant projects under development.

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Alex, Shelcy S. "Monitoring Line Efficiency in Garment Industry using IoT." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 1710–12. http://dx.doi.org/10.22214/ijraset.2022.40129.

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Abstract: The conventional method of monitoring efficiency in garment industry is to collect the number of pieces produced per hour by each line manually and entered in the website . This method is time consuming, wastage of man power, and involves non valued activities. The IOT based line efficiency monitoring system that checks the efficiency of end line production in garment industry in real time through weight sensor (one for each parameter: pass pieces, defect pieces) . Weight of the garment and the target per hour are given as the input. As a variation in the value of weight sensor signifies that garment is dropped into the bin, therefore the number of pieces produced is increased and vice versa. The Wi-Fi module in the system transfers data processed by the microcontroller, and transfers the data to the website as well as smart phone. This system can help the factory officials to monitor efficiency at real time basis. Keywords: IoT, Weight sensor, Node MCU, real time efficiency monitoring.

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Iakovlev, Dmitry, Sijung Hu, Harnani Hassan, Vincent Dwyer, Roya Ashayer-Soltani, Chris Hunt, and Jinsong Shen. "Smart Garment Fabrics to Enable Non-Contact Opto-Physiological Monitoring." Biosensors 8, no. 2 (March 29, 2018): 33. http://dx.doi.org/10.3390/bios8020033.

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Kim, Minsuk, Jiseon Ahn, Jihye Kang, and Sungmin Kim. "A Systematic Review on Smart Manufacturing in the Garment Industry." Fashion & Textile Research Journal 22, no. 5 (October 30, 2020): 660–75. http://dx.doi.org/10.5805/sfti.2020.22.5.660.

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Lee, Eunyoung, Jung-Sim Roh, and Sareum Kim. "User-centered Interface Design Approach for a Smart Heated Garment." Fibers and Polymers 19, no. 1 (January 2018): 238–47. http://dx.doi.org/10.1007/s12221-018-7674-x.

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Cepolina, Elvezia Maria, and Francesco Cepolina. "Automation of a garment sewing department assessment by smart simulation." International Journal of Simulation and Process Modelling 18, no. 4 (2022): 329. http://dx.doi.org/10.1504/ijspm.2022.10053310.

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Cepolina, Francesco, and Elvezia Maria Cepolina. "Automation of a garment sewing department assessment by smart simulation." International Journal of Simulation and Process Modelling 18, no. 4 (2022): 329. http://dx.doi.org/10.1504/ijspm.2022.128290.

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Mokhlespour Esfahani, Mohammad Iman, and Maury A. Nussbaum. "Classifying Diverse Physical Activities Using “Smart Garments”." Sensors 19, no. 14 (July 16, 2019): 3133. http://dx.doi.org/10.3390/s19143133.

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Physical activities can have important impacts on human health. For example, a physically active lifestyle, which is one of the most important goals for overall health promotion, can diminish the risk for a range of physical disorders, as well as reducing health-related expenditures. Thus, a long-term goal is to detect different physical activities, and an important initial step toward this goal is the ability to classify such activities. A recent and promising technology to discriminate among diverse physical activities is the smart textile system (STS), which is becoming increasingly accepted as a low-cost activity monitoring tool for health promotion. Accordingly, our primary aim was to assess the feasibility and accuracy of using a novel STS to classify physical activities. Eleven participants completed a lab-based experiment to evaluate the accuracy of an STS that featured a smart undershirt (SUS) and commercially available smart socks (SSs) in discriminating several basic postures (sitting, standing, and lying down), as well as diverse activities requiring participants to walk and run at different speeds. We trained three classification methods—K-nearest neighbor, linear discriminant analysis, and artificial neural network—using data from each smart garment separately and in combination. Overall classification performance (global accuracy) was ~98%, which suggests that the STS was effective for discriminating diverse physical activities. We conclude that, overall, smart garments represent a promising area of research and a potential alternative for discriminating a range of physical activities, which can have positive implications for health promotion.

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Hoi, Ha Van, and Nguyen Tien Minh. "Assessing the impact of EVFTA on Vietnam's textile and garment exports to the UK." International Journal of Professional Business Review 7, no. 2 (August 22, 2022): e0426. http://dx.doi.org/10.26668/businessreview/2022.v7i2.426.

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Purpose: The study assesses the impact of the EVFTA on textile exports from Vietnam to the UK and provides some policy implications for Vietnam. Originality/value: The study used the data of Vietnam's textile and garment exports to the UK in the period 2010 - 2019 and the data of countries' textile exports to the UK in 2019 to propose 3 export scenarios for Vietnam. Design/methodology/approach: The study uses the SMART model combined with qualitative research methods to analyze and evaluate the positive and negative impacts of UKVFTA on Vietnam's textile and garment exports. Findings: Research has shown the positive effects and limitations of UVK on textile exports from Vietnam to the UK. Since then, several short-term and long-term measures have been proposed to develop Vietnam's textile and garment industry.

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Vassilev, Tzvetomir Ivanov. "Garment Simulation and Collision Detection on a Mobile Device." International Journal of Mobile Computing and Multimedia Communications 7, no. 3 (July 2016): 1–15. http://dx.doi.org/10.4018/ijmcmc.2016070101.

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This paper describes several techniques for accelerating a virtual try-on garment simulation on a mobile device (smartphone or tablet) using parallel computing on a multicore CPU, GPU computing or both depending on the mobile hardware. The system exploits a mass-spring cloth model with velocity modification approach to overcome the super-elasticity. The simulation starts from flat garment pattern meshes positioned around a 3D human body, then seaming forces are applied on the edges of the panels until the garment is seamed and several cloth draping steps are performed in the end. The cloth-body collision detection and response algorithm is based on image-space interference tests and the cloth-cloth collision detection uses entirely GPU based approach on the newer hardware or recursive parallel algorithm on the CPU. As the results section shows the average time of dressing a virtual body with a garment on a modern smart phone supporting OpenGL ES2.0 is 2 seconds and on a tablet supporting OpenGL ES3.0 or 3.1 is less than one second.

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Elhariri Essamlali, Mohammed Taha, Aicha Sekhari, and Abdelaziz Bouras. "Product lifecycle management solution for collaborative development of Wearable Meta-Products using set-based concurrent engineering." Concurrent Engineering 25, no. 1 (October 4, 2016): 41–52. http://dx.doi.org/10.1177/1063293x16671386.

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The trend of smart products is now changing the world and transforming the life of customers. People tend to be more tied to smart, connected products seeking to ease and improve quality of life and find new ways to make things such as daily tasks differently. In this context, the world of clothing has noticed a big advance targeting various applications: sport, gaming, and health monitoring and rehabilitation. Wearable smart products are intelligent hybrid products made of garments, sensor networks, and applications, interacting with users and the environment capable of real-time data processing and storage, with capabilities to extend functionalities by communicating with other things. The multi-functionality property of smart products needs the integration of various electronic parts. High variety of parts with different interfaces makes the development of smart products complex than generic products and requires the involvement and close collaboration of multidisciplinary team (garment designers, sensor networks designers, and application developers). A high number of alternative designs can be considered at the beginning of the design process due to this variety and high availability of parts. The smart product development team needs then to explore multiple candidate solutions before finding the best smart product design that complies with the requirements. This work proposes the set-based concurrent engineering to deal efficiently with the alternatives. Therefore, this article provides a novel approach to shift from set-based concurrent engineering theoretical principles toward a pragmatic (practical) application to wearable smart products taking advantage of product lifecycle management system capabilities for the implementation. The use of product lifecycle management system to support the set-based concurrent engineering process will contribute for a better understanding of the approach avoiding confusions, simplify the architecture of the solution in view of integration with other systems, and enable the stakeholders to focus on the level of innovation of the smart product.

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Paradiso, Rita, Lionel Bourdon, and Giannicola Loriga. "Smart Sensing Uniforms for Emergency Operators." Advances in Science and Technology 60 (September 2008): 101–10. http://dx.doi.org/10.4028/www.scientific.net/ast.60.101.

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Textile integration of smart sensor systems is the key technology for the success of future e-garments oriented to emergency operators. Ubiquitous recording and transmission of human and environmental data will allow combining comfort and protection leveraging with the existing smart textile, microelectronics and telecommunication technologies. The challenge offered by emergency situation is mainly in the difficulty to acquire data in a very aggressive environment, during hard physical activity; conditions that will increase the risks of signals artefacts, as well as the presence of positive and negative false events. Security is addressed through the implementation of systems combining body sensing platform, for health alertness and environment sensing platform for context awareness; the full system has also to guarantee protective functionality. State of art textile technology allows the monitoring of heart and respiratory rate, humidity rate, activity rate, GSR and EMG, while core and external temperature, posture via accelerometers, absolute position via GPS are easily monitored through standard sensors. The body sensing platform requires a direct contact with the operator skin leading to the implementation of a sensing inner garment, at the same time environment platform are integrated in a protective jacket that is also hosting the alarm systems and the electronic unit for signal processing and transmission hardware. This paper is reporting about a study done with a pioneer e-textile system named Wealthy on healthy subjects during extreme conditions. Wealthy platform is currently evolving in a new one, specially designed for emergency scenarios, developed in the frame of the project Proetex, a preliminary description of the new system is presented; the new system that is under first testing phase, has been designed to be used without interfering with operator activities.

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Yang, Bao, Xi Wang, Ying Xiong, Su Liu, Shi-Rui Liu, Xia Guo, and Xiao-Ming Tao. "Smart bionic morphing leg mannequin for pressure assessment of compression garment." Smart Materials and Structures 29, no. 5 (April 9, 2020): 055041. http://dx.doi.org/10.1088/1361-665x/ab7856.

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Lou, Edmond, Gabrielle C. Lam, Douglas L. Hill, and M. S. Wong. "Development of a smart garment to reduce kyphosis during daily living." Medical & Biological Engineering & Computing 50, no. 11 (December 18, 2011): 1147–54. http://dx.doi.org/10.1007/s11517-011-0847-7.

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Yuen, C. W. M., E. H. K. Fung, W. K. Wong, L. C. Hau, and L. K. Chan. "Application of smart system to textile industry: Preliminary design of a smart hanger for garment inspection." Journal of the Textile Institute 99, no. 6 (November 14, 2008): 569–80. http://dx.doi.org/10.1080/00405000701660160.

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Pantouvaki, Sofia. "Embodied interactions: Towards an exploration of the expressive and narrative potential of performance costume through wearable technologies." Scene 2, no. 1 (October 1, 2014): 179–96. http://dx.doi.org/10.1386/scene.2.1-2.179_1.

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The use of smart materials and wearable electronics has rapidly expanded in the field of fashion, introducing new interactive qualities of surfaces, materials and garments. In fashion garments, the performative environment functions as an abstract site for experimentation, expression and communication of the wearer through the intelligent garment. However, there is still limited use of embodied technologies in the field of performance costume for text-based and music-based performance, with the exception of integrated lighting technologies, currently broadly used in musical performance. This article provides a critical review of specific examples of technology-led garments in live performance, and uses a specific fragment from the Athens 2004 Olympic Games Opening Ceremony as a case study to highlight how technologies embedded in costume can create interactive interfaces between the body of the performer and the environment – the space, the other performers, the audience – becoming a transmitter and receiver of emotions, experiences and meanings in innovative ways. By analysing this case, as well as by posing questions, this article aims at generating a discourse on the expressive and narrative potential of the use of intelligent materials and embodied technologies within the creative practice of costume design.

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Lapkovska, Eva, and Inga Dabolina. "AN INVESTIGATION ON THE VIRTUAL PROTOTYPING VALIDITY – SIMULATION OF GARMENT DRAPE." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 4 (May 25, 2018): 448–58. http://dx.doi.org/10.17770/sie2018vol1.3187.

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Achievement of desired garment form is essential in the development of clothing design, which depends on properties of its raw material - mainly fabric. Virtual prototyping can serve as a tool for assessing the form and fit of garments before real production and deciding whether to make changes in ease values, pattern cut or fabric parameters. The aim of the study is investigation of reliability of virtual prototyping results using Modaris 3D (Lectra) due to influences of changeable fabric parameters on garment drape effects, as well as verifiability with three-dimensional (3D) scanning (Vitus Smart XXL®) of real products. For the research half-circle cut skirt designed in appropriate size for standard figure dummy. Skirt virtually simulated on mannequin which previously scanned and imported into the system. Properties of three different types of fabrics examined in a material testing laboratory according to requirements of relevant standards. Skirt virtually tried-on defining fabric properties by gained testing results and afterwards made from real fabrics, put on the dummy and scanned. Drape effects of the various virtual prototypes and real product scans compared, both in the CAD system and the scanning system (Anthroscan) using cross-sections and their measurements (depths and diameters of folds, circumferences). Fabric parameters has an influence on the reliability of virtual prototyping results in terms of accuracy of parameters determined and put into the system. Cross-sections with measurements reveal differences between virtually sewn and real skirt drape configurations.

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Tlemsani, Fatima Zohra, Hayriye Gidik, Elham Mohsenzadeh, and Daniel Dupont. "Textile Heat Flux Sensor Used in Stress Detection of Children with CP." Solid State Phenomena 333 (June 10, 2022): 153–60. http://dx.doi.org/10.4028/p-v03hy7.

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This work is part of the European project MOTION (Interreg 2 Seas Mers Zeeën), which aims to develop an exoskeleton for children with cerebral palsy (CP). The developed exoskeleton is equipped with a smart garment in order to detect the stress (e.g. physical, physiological) during the rehabilitation. Five different sensors, i.e. electrocardiogram (ECG), respiratory rate (RR), pressure, galvanic skin response (GSR) and textile heat fluxmeter (THF), are integrated into this smart garment for stress detection. This paper focuses on the development of the textile heat fluxmeter. Several researchers used heat fluxmeters in physiological studies to measure the body heat exchanges with the environment. However, the non-permeability of such fluxmeter gives inaccurate measurements in wet condition. Innovative flexible textile heat fluxmeter may detect, analyze, and monitor the heat and mass transfers with minimum disturbance due to its porosity. Moreover, it is desirable to have flexible sensors when they need to be in contact with the human body, in which the flexibility and non-irritability requirements are of utmost importance.

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Stephenson, Ted, Caio Carvalho Ellero, Daniel Sebastia-Saez, Oleksiy Klymenko, Angela Maria Battley, and Harvey Arellano-Garcia. "Numerical modelling of the interaction between eccrine sweat and textile fabric for the development of smart clothing." International Journal of Clothing Science and Technology 32, no. 5 (April 17, 2020): 761–74. http://dx.doi.org/10.1108/ijcst-07-2019-0100.

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PurposeLive non-invasive monitoring of biomarkers is of great importance for the medical community. Moreover, some studies suggest that there is a substantial business gap in the development of mass-production commercial sweat-analysing wearables with great revenue potential. The objective of this work is to quantify the concentration of biomarkers that reaches the area of the garment where a sensor is positioned to advance the development of commercial sweat-analysing garments.Design/methodology/approachComputational analysis of the microfluidic transport of biomarkers within eccrine sweat glands provides a powerful way to explore the potential for quantitative measurements of biomarkers that can be related to the health and/or the physical activity parameters of an individual. The numerical modelling of sweat glands and the interaction of sweat with a textile layer remain however rather unexplored. This work presents a simulation of the production of sweat in the eccrine gland, reabsorption from the dermal duct into the surrounding skin and diffusion within an overlying garment.FindingsThe model represents satisfactorily the relationship between the biomarker concentration and the flow rate of sweat. The biomarker distribution across an overlying garment has also been calculated and subsequently compared to the minimum amount detectable by a sensor previously reported in the literature. The model can thus be utilized to check whether or not a given sensor can detect the minimum biomarker concentration threshold accumulated on a particular type of garment.Originality/valueThe present work presents to the best of our knowledge, the earliest numerical models of the sweat gland carried out so far. The model describes the flow of human sweat along the sweat duct and on to an overlying piece of garment. The model considers complex phenomena, such as reabsorption of sweat into the skin layers surrounding the duct, and the structure of the fibres composing the garment. Biomarker concentration maps are obtained to check whether sensors can detect the threshold concentration that triggers an electric signal. This model finds application in the development of smart textiles.

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Jung, Woo-Kyun, Dong-Ryul Kim, Hyunsu Lee, Tae-Hun Lee, Insoon Yang, Byeng D. Youn, Daniel Zontar, Matthias Brockmann, Christian Brecher, and Sung-Hoon Ahn. "Appropriate Smart Factory for SMEs: Concept, Application and Perspective." International Journal of Precision Engineering and Manufacturing 22, no. 1 (December 8, 2020): 201–15. http://dx.doi.org/10.1007/s12541-020-00445-2.

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AbstractIn the manufacturing industry, the smart factory is considered the final stage of the Fourth Industrial Revolution. Manufacturing companies are pursuing breakthroughs by introducing various advanced technologies to ensure their competitiveness. However, it is difficult for small and medium-sized enterprises (SMEs) to adopt smart-factory technologies, owing to financial and technical burdens. This paper proposes a smart factory that can be applied technically and strategically to the introduction of a smart factory for SMEs. The concept of an ‘appropriate smart factory’ involves applying appropriate measures in terms of cost and scale with consideration of the situations faced by SMEs. The goal is to build a smart factory that has necessary functions (Essential) but can be easily operated (Simple) at a low cost (Affordable) and has compatibility (Interoperable). This paper presents technical application measures such as appropriate smart sensors, appropriate IoT (Internet of Things), and small data processing, along with the definition of an appropriate smart factory. In addition, a case study was examined where the quality inspection equipment for garment manufacturing SMEs was developed by applying the appropriate smart factory concept.

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Avellar, Leticia, Gabriel Delgado, Carlos Marques, Anselmo Frizera, Arnaldo Leal-Junior, and Eduardo Rocon. "Polymer Optical Fiber-Based Smart Garment for Impact Identification and Balance Assessment." IEEE Sensors Journal 21, no. 18 (September 15, 2021): 20078–85. http://dx.doi.org/10.1109/jsen.2021.3098475.

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Fung, Eric H. K., Y. K. Wong, X. Z. Zhang, C. W. M. Yuen, and W. K. Wong. "Mechatronic design and implementation of a smart robotic hanger for garment inspection." Journal of the Textile Institute 102, no. 11 (November 2011): 935–47. http://dx.doi.org/10.1080/00405000.2010.528213.

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Wang, Qi, Annick Timmermans, Wei Chen, Jie Jia, Li Ding, Li Xiong, Jifeng Rong, and Panos Markopoulos. "Stroke Patients’ Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation." IEEE Journal of Translational Engineering in Health and Medicine 6 (2018): 1–9. http://dx.doi.org/10.1109/jtehm.2018.2853549.

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Journal articles on the topic 'Smart garment'

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