• Science of Emotion and Sensibility
• /
• v.8 no.3
• /
• pp.277-290
• /
• 2005

The purpose of this study is to develope a design prototype of 'Smart Battle Jacket' for the future soldier system. Future battle field is supposed to be the place where the information is the most important. Future soldiers are also supposed to get digital devices to have more possibility of survival in the battle field. To design the smart battle jacket that has digital devices inside, it's needed to forecast the body sizes and shape of the future soldiers, to research the human bodies and movements, and to study the functions of the digital devices and the relationship between the bodies and the devices. The usability of the 1st model for the Smart battle jacket had been tested, and the model had been corrected by the results from the test. After all, a smart battle jacket design prototype for the future soldier system has been developed.

• Fashion & Textile Research Journal
• /
• v.24 no.6
• /
• pp.694-706
• /
• 2022

This study focusses on the development of a motion-sensing smart leggings prototype with the help of a module that monitors motion using a fiber-type stretch sensor. Additionally, it acquires data on Electrocardiogram (ECG), respiration, and body temperature signals, for the development of smart clothing used in online exercise coaching and customized healthcare systems. The research process was conducted in the following order: 1) Fabrication of a fiber-type elastic strain sensor for motion monitoring, 2) Positioning and attaching the sensor, 3) Pattern development and three-dimensional (3D) design, 4) Prototyping 5) Wearability test, and 6) Expert evaluation. The 3D design method was used to develop an aesthetic design, and for sensing accurate signal acquisition functions, wearability tests, and expert evaluation. As a result, first, the selection or manufacturing of an appropriate sensor for the function is of utmost importance. Second, the selection and attachment method of a location that can maximize the function of the sensor without interfering with any activity should be studied. Third, the signal line selection and connection method should be considered, and fourth, the aesthetic design should be reflected along with functional verification. In addition, the selection of an appropriate material is important, and tests for washability and durability must be made. This study presented a manufacturing method to improve the functionality and design of smart clothing, through the process of developing a prototype of motion-sensing smart leggings.

• Science of Emotion and Sensibility
• /
• v.26 no.2
• /
• pp.129-140
• /
• 2023

Following ISO 20471, in this study, first, two sets of safety clothes and safety vests were made by designing and attaching animal and bird patterns preferred by children to retroreflective films and black fabrics on those fluorescent fabrics and retroreflective materials prescribed by international standards. Second, by mounting a smart photonic device on the safety clothing so that the body can be recognized from a distance even without an ambient light source at night, children can emit three types of light depending on the situation with just one-touch of the button. From a result of comparison with visibility a day and night by dressing a mannequin in the made smart safety clothing, the difference in visibility was evident at night, it was confirmed that we can see the figure of a person even at a distance of approximately 70 m. Therefore, it is expected to contribute to the prevention of traffic and other accidents on the road, as the drivers driving at night or in bad weather can recognize a person from a distance. Third, in case of the energy is exhausted and cannot maintain the stability of the light-emitting function of the optical faber, we can use energy harvesting device, and the light-emitting time will be extended. As a result it comes up to emit light stably for a long time. And this prove that smart photonic safety clothing can also be used for night workers. Therefore, optical fiber safety clothing is expected to be highly wearable not only in real life but also in dark industrial sites due to stable charging by applying the energy harvesting provided by solar cells.

• Fashion & Textile Research Journal
• /
• v.10 no.6
• /
• pp.1006-1013
• /
• 2008

This study is basic material for development of a smart girdle. Through the intentionally sampling of 313 consumers from teenagers to the forties who have experienced wearing girdles, lifestyles on consumer's age, attitude to health, favor of warm functional girdle, and possibility to acceptance were surveyed and analyzed by questionnaire. The result of the study are summarized as followed. 1. Analysis about lifestyle with warmth and attitude to health showed that subjects in their thirties and forties have higher than teenagers and the twenties in frequency of distribution. This means people are tend to have more attention to warmth and health as they grow older. 2. In result about analysis of characteristic of wearing girdle, subjects were prefer girdle made of cotton which have superior permeability and hygroscopic property. The reason that wearing girdle is to complement of weak points of body somatotype in the thirties and forties and feel the stability during menstrual period in the twenties and teenagers. The time zone of putting on girdle is mainly winter while one is out wearing one-piece or skirt. 3. When surveyed about the preference to functional warmth girdle and possibility to acceptance, the results were that the subjects in their thirties were first, forty something was second, followed by subjects in their twenties, teenagers. It was shown that over 60% subjects were highly distributed. With regard to necessity of functional warmth girdle, every age groups were shown over 3.6 at average. This result was inferred that subjects had positive possibility to acceptance about functional warmth smart girdle.

• Journal of Fashion Business
• /
• v.19 no.2
• /
• pp.69-84
• /
• 2015

The objective of this study is to investigate the intention to adopt smart wear, based on extended UTAUT model. We examined the effects of performance expectancy (PE), effort expectancy (EE), hedonic motivation (HE), social influence (SI), facilitating conditions (FC), and price value (PV) on the intended adoption of smart watch and smart shoes, respectively. In addition, moderating effects of gender, age, and innovation resistance were examined. An online survey was conducted, comprised of 2030 consumers who were aware of smart watch or smart shoes. In total, 393 responses were analyzed. About 50.4% were male, and 44.8% were in their 20's. An exploratory factor analysis generated five factors - PE & HM, EE, SI, FC, and PV- which were employed as independent variables in the multiple regression models. PE & HM, PV, and SI influenced on the intention to use both smart devices. FC showed the significant effect only on the intention to adopt the smart watch. In terms of gender differences, SI and PV were the important predictors of the intention to adopt the smart watch in the female group only. With respect to age difference, SI was very effective in explaining the intention of individuals in their 30's to adopt smart wear. Among the low innovation resistance group, SI was significant predictor, while PE & HE and PV were significant among the high resistance group. The findings provide useful information about the possibility of the adoption of smart wear, and new insight into market segmentation.

• Journal of Fashion Business
• /
• v.20 no.1
• /
• pp.142-156
• /
• 2016

Convergence of IT devices and fashion is enabling the industry to take fully different approaches in various areas including product planning, fabric selecting, distributing, and marketing. At the same time, it also transforms the definition of clothing itself. Convergence of IT technologies in the realm of fashion and textiles industries can create a powerful synergy through connection digital devices, such as mobile phone. In this context, this study attempts to suggest how IT technology can be efficiently harnessed through the usage of mobile devices in the planning stage of fashion materials, where the initial production plan of a clothing item is mapped out. This study ultimately aims to enhance the effectiveness of databases on fashion material information by using mobile devices to utilize NFC, an RFID technology having as much revolutionary power as Internet - which can be the convergence between IT and fashion across the software dimensions. To pursue this research, data on fashion material information regarding 200 woven fabric specimens were provided by textile companies. The information includes elements such as its composition, weight, width, yarn, density and sales report. These pieces of information were organized into a database. Drawing on this data, Android-based applications that allow smart phones to read off fabric information from NFC tags were developed for this study using two methods. The system works as follows: 1. NFC tag stickers are attached onto the hangers where 200 fabric samples are hanging. 2. The NFC tag stickers are tagged, or read off from a smart phone that support NFC functions. 3. Upon tagging, the Smart phone swiftly displays all information available on its screen - not only the aforementioned six elements, but also the image of the clothing item from the fabric in its finalized product form, and the video of the model wearing the item - for convenient view. The method harbors immense potential for the fashion industry in general, and will also be useful in those fields inside the industry that harness NFC technology.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.37 no.4
• /
• pp.482-490
• /
• 2013

This study suggests a suitable logo design application of a three colors LED light source and flexible plastic optical fiber (POF). In this study, characteristic relevant brightness of (according to the embodiment conditions of the flexible POF for logo design) for smart clothing were analyzed through two experiments. The suitable conditions of the logo design for three colors of light source were observed in 'Experiment 1'. The angle of $80^{\circ}$ to $100^{\circ}$ and the length of 8cm to 16cm appeared a more suitable condition for green-colored and red-colored light sources. The angle of $80^{\circ}$ to $100^{\circ}$ at a length of 8cm to 12cm appeared a more suitable condition for a blue-colored light source. In 'Experiment 2', a 'Klavika' in small letter was selected as suitable logo design for the application POF. The alphabet was separated by a morpheme, which is the minimal linguistic unit. All alphabets were classified into sixteen morphemes. The luminance of fourteen morphemes (realized by the embroidery method) were measured and analyzed. Subsequently, eight morphemes appeared to show a relatively equal luminance of $3-4cd/m^2$ in a green-colored light source, $2-3cd/m^2$ in red-colored light source, and $2cd/m^2$ in a blue-colored light source. Four of the fourteen morphemes, showed a 20% brighter level of luminance compared to the eight morphemes above, the cast of combination of green or red light source. This result indicates that a flexible POF with 20% less luminance are believed more suitable for four morphemes combined with a green or red light source. The results of this study provide fundamental data for further approaches to clothing logo design for the application of a flexible POF.

• Smart Media Journal
• /
• v.13 no.4
• /
• pp.57-64
• /
• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.45 no.2
• /
• pp.271-284
• /
• 2021

This study presents the educational utility of blended learning by analyzing the effectiveness of learning after class by blending team project learning and smart device app-based learning methods. Qualitative analysis and survey analysis were conducted and the results were as follows. First, team project activities based on task resolution were conducted freely through detailed activities such as sharing roles, planning meetings, and coordinating opinions. Team activities were carried out with respect and consideration, team member bonding, and a sense of responsibility. Second, the smart device app is recognized as a medium for work and communication, and fast feedback has been made, making it highly impactful on classroom activities. Third, in terms of learning satisfaction, most learners showed an interest in the course and were satisfied with the project results. The smart device app was used as a learning and communication medium for personal and team activities and was analyzed as a blended method applicable to classes that conduct practical activities as an efficient tool to further activate project activities.

• Journal of the Korean Society of Costume
• /
• v.65 no.1
• /
• pp.118-135
• /
• 2015

In recent years, smart clothing had been developed in order to better detect and monitor physical movement of the patient, so that such activities such as location identification and biometric recognition could be done. However, most of the sensing devices of smart clothing were limited to smart sensing sports clothing and the designs did not consider the physical characteristics and the behavior of the wearer. Therefore, this study aimed to create an open protection system by developing a wearable sensing device for health monitoring and location information. For this purpose, this study developed eleven types of wearable sensing design that could be commercially sold and worn by people who needed their biological information to be constantly monitored. The study conducted four tests in order to develop three types of sensing devices for various sensing wears. The purpose of this study was to expand the user rang of smart sensing wears, and provide a foundation for the development of distinctive wearable sensing devices reflecting the user. Furthermore, contribute to the design for the person subject to protection.