• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.15-22
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• 2019

The purpose of this study is to develop a strain sensor based on a nanoweb by applying electrical conductivity to a polyurethane nanoweb through the use of Graphene. For this purpose, 1% Graphene ink was pour-coated on a polyurethane nanoweb and post-treated with PDMS (Polydimethylsiloxane) to complete a wearable strain sensor. The surface characteristics of the specimens were evaluated using a field emission scanning electron microscope (FE-SEM) to check whether the conductive material was well coated on the surface of the specimen. Electrical properties of the specimens were measured by using a multimeter to measure the linear resistance of the specimen and comparing how the line resistance changes when 5% and 10% of the specimens are tensioned, respectively. In order to evaluate the performance of the specimen, the gauge factor was obtained. The evaluation of the clothing was performed by attaching the completed strain sensor to the dummy and measuring the respiration signal according to the tension using MP150 (Biopac system Inc., USA) and Acqknowledge (ver. 4.2, Biopac system Inc., U.S.A.). As a result of the evaluation of the surface characteristics, it was confirmed that all the conductive nanoweb specimen were uniformly coated with the Graphen ink. As a result of measuring the resistance value according to the tensile strength, the specimen G, which was treated with just graphene had the lowest resistance value, the specimen G-H had the highest resistance value, and the change of the line resistance value of the specimen G and the specimen G-H is increased to 5% It is found that it increases steadily. Unlike the resistance value results, specimen G showed a higher gauge rate than specimen G-H. As a result of evaluation of the actual clothes, the strain sensor made using the specimen G-H measured the stable peak value and obtained a signal of good quality. Therefore, we confirmed that the polyurethane nanoweb treated with Graphene ink plays a role as a breathing sensor.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.8
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• pp.185-194
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• 2014

In this paper, we proposed the clothing management system using the smart hanger. Proposed system consists of smart hanger, base module, and server, and the smart hanger consists of MCU, LED, RFID reader, RF chip, ring sensor, and battery. The smart hanger reads the RFID tag attached to the clothes and wirelessly transmitted to the server. The server associated base module communicates with the smart hanger and transmits information to the server. The server manages clothing through the DB, and can display various information through the web page and the smart phone. In order to verify the usefulness of the proposed system, we did experiment with the management system for clothing store and laundry where using a lot of hangers. Performance tests of the smart hanger are applied to check the current consumption and can be predicted the battery life with the proposed low power algorithm. The clothing store management system can be increased sales and convenience of the consumer. The laundry management system can be increased the efficiency of laundry category and convenience of the consumer.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.729-738
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• 2022

Existing wardrobes have been used only for storing simple clothes. Since it has a function to store clothes, there is only one way to control the environment such as humidity or temperature, and there is only one way to purchase and store items such as a desiccant. In this paper, by increasing the convenience in the existing wardrobe, automatic temperature and humidity control and various convenient functions were added. In line with the smart home market and smart phone application market that have grown over the past several years, along with the development of a wardrobe with sensors, the temperature and humidity control function and other functions inside the wardrobe through Bluetooth pairing between the wardrobe and the smartphone can be customized to the user using a smartphone. Through the clothing selection function and the weather data in the application, we want to implement convenient functions such as the function of recommending clothes in the closet to match the weather.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2009.11a
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• pp.23-24
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• 2009

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.168-179
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• 2021

This study presents and develops a textile type touch sensor structural design that is easy to implement. First, the design of the touch sensor circuit finds the size of the switch with the easiest finger contact and selects a structure with a long circuit with the lowest resistance value. An experiment is performed on a change in an electrostatic capacitance value that accompanies the distance on the electrode and the magnitude of the electrode area of the structure; however, the structure having the distance on the electrode and the large electrode area shows the best resistance change. The laundry assessment was conducted three times at a time and ten times at a time with an average standard deviation less than one ohm, with little change in resistance. Consequently, there were no problems with durability and performance for laundry. Finally, in the bending evaluation, the difference in resistance can be seen between 1-2 ohms and was developed as a smart wearable in the future; in addition, there was no problem as a difference in resistance can be seen between 1 and 2 ohms.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.145-152
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• 2014

The usage of textile-based sensors has increased due to their many advantages (compared to IT sensors) when applied to body assessment and comfort. Textile-based sensors have different detecting factors such as pressure, voltage, current and capacitance to investigate the characteristics. In this study, textile-based sensor fabrics with sheath-core type conductive yarns were produced and the relationship between capacitance changes and applied load was investigated. The physical and electric properties of textile-based sensor fabrics were also investigated under various laminating conditions. A textile based pressure sensor that uses a sheath-core conductive yarn to ensure the stability of the pressure sensor in the textile-based sensor (the physical structure of the reaction characteristic of the capacitance) is important for the stability of the initial value of the initial capacitance value outside the characteristic of the textile structural environment. In addition, a textile based sensor is displaced relative to the initial value of the capacitance change according to pressure changes in the capacitance value of the sensor due to the fineness of the high risk of noise generation. Changing the physical structure of the fabric through the sensor characteristic of the pressure sensor via the noise generating element of laminating (temperature, humidity, and static electricity) to cut off the voltage output element to improve the data reliability could be secured.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.138-145
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• 2022

Today, graphene loaded textiles are being considered promising smart clothing due to their high conductivity. In this study, we reported reduced graphene oxide(r-GO) deposited pure cotton fabrics fabricated with a colloidal solution of graphene(GO), using a one-step aerosol spray pyrolysis(ASP) process and their potential application on smart textiles. The ASP process is advantageous in that it is easily implementable and can be applied for continuous processing. Moreover, this process has never been applied to deposit r-GO on pure cotton fabric. The field emission-scanning microscopy (FE-SEM) observation, Fourier transform-infrared(FT-IR) analysis, Raman spectroscopy, X-ray diffraction(XRD) analysis, and ultraviolet transmittance(UVT) were used to evaluate material properties of the r-GO colloids. The resistance was also measured to evaluate the electrical conductivity of the specimens. The results revealed that the r-GO was successfully deposed on specimens, and the specimen with the highest electrical conductivity demonstrated an electrical resistance value of 2.27 kΩ/sq. Taken together, the results revealed that the ASP method demonstrated a high potential for effective deposition of r-GO on cotton fabric specimens and is a prospect for the development of conductive cotton-based smart clothing. Therefore, this study is also meaningful in that the ASP process can be newly applied by depositing r-GO on the pure cotton fabric.

• Fashion & Textile Research Journal
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• v.10 no.4
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• pp.473-478
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• 2008

Since the late 1990, "Smart clothing" has been developed in a various way to meet user centered design and human engineering that considered usability, wearability with clothing. Under this circumstance, research and development of smart clothing has been demanded usability and wearability test. But, Study of the usability evaluation for sensor based smart clothing is insufficient. In this study, we suggest criterion of usability evaluation for sensor based smart clothing that evaluate on the point of view such as wearability of clothing, interaction of clothing and devices, interaction of body and devices. we performed qualitative and quantitative test with developed smart clothing to present usability evaluation criterion for sensor based smart clothing. As a result, total 7 categories such as 'usefulness', 'wearability', 'appearance', 'riskness', 'facility of management', 'perceived change', were extracted as the usability and wearability criterion. Additionally, 28 factors of evaluation criterion for sensor based smart clothing were indicated on the result of this research. This study have meaning to indicate usability evaluation criterion for sensor based smart clothing.

• Smart Media Journal
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• v.3 no.4
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• pp.35-40
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• 2014

As small sized bio-sensors and digital yarns are developed, digital wear measuring vital signs can be used for individuals' health, the elderly care and sports activities. This paper discusses a database structure for analyzing stress state, pulses, positions, exercise amount of user based on vital signs measured for 24 hours measured by the wear and GPS information, and a storage for storing XML documents following a standard HL7 meta-model. By analyzing the stored information, the system identifies the stress state and exercise amount of users. Pulses, exercise intensity and emergency situations can be also detected by the system in real time. This paper discusses the implementation of a system enabling to acquire and analyze vital signals to understand user behavior patterns.

• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.24-36
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• 2012

This study examines consumer's acceptance intention of sensor-based smart clothing empolying the extended TAM. Technology innovativeness, information innovativeness and trust were used as external variables and perceived palyfulness was included in the extetended TAM. Data were collected from the adults over 20 years old living in Daegu from March 14 to 18, 2011. 193 useful copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0. The study results showed that the extended TAM for smart clothing was validated empirically in predicting the individual's acceptance of sensor-based smart clothing and 10 hypotheses among 12 hypotheses were supported. Technology innovation, information innovation, and trust were confirmed as antecedent variables in affecting extended TAM. Perceived usefulness and perceived playfulness directly influenced acceptance intention and indirectly influenced acceptance intention mediating attitude. Perceived usefulness affected perceived playfulness and attitude affected acceptance intention. This study will help marketers and managers of fashion companies devise effective tools in planning marketing strategies related to smart clothing.