• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.98-105
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• 2021

This study investigates and analyzes user preferences for golf wear with a sense of wear and smart function for the development of smart golf wear based on user convenience. A survey was conducted on 124 males in the age range of 40-60s that consisted of professional golfers, amateur golfers and the public with golf experience (such as major golf consumers) from August 1 to August 30, 2019 (IRB NO. 1040198-190617-HR-057-03); consequently, a 117 copies were accepted for analysis. The findings are as follows. The elbow (4.3%) of golf wear is unsatisfactory. The important part of the golf swing motion is the shoulder (39.3)>, elbow (30.8%)>, and wrist (6.8%). In addition, the unsatisfactory wearing of golf wear due to golf swing movements indicated that the shoulder or elbow area was pulled or the bottom of the top was raised during the back swing movements. The survey results on the expected discomfort when wearing smart wear are 'discomfort of obstruction when wearing' (53.8%), 'discomfort of washing' (17.1%), and 'weight of attached machine' (13.7%). Opinions such as 'Will not feel good when the sensor is attached' were investigated. The examination of the preference for golf wear equipped with smart functions indicated that a posture correction function to correct the golf swing posture is the most desired quality that is also considered important when correcting posture.

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

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1538-1541
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• 2011

최근 스마트폰 시장의 발전과 그에 따라 안드로이드, iOS 운영체제 별로 각각 어플리케이션 개발에 열을 올리고 있다. 또한 요즘 의류 관련 쇼핑몰이나 개인의류 사업이 증가하여 의류에 관한 관심 또한 높아지게 되고 그에 따라 의복을 중시하고 옷을 고르는데 많은 시간을 소요하곤 한다. 바쁜 직장인, 학생을 위해 기존의 웹이나 프로그램들이 대신해 주는 역할도 한다. 멀티 코디 어플리케이션은 스마트폰으로 날씨와 감성정보에 의해 자신이 가지고 있는 옷 중에서 입게 될 옷을 자동으로 추천 해주는 기능을 가지고 있다.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.84-97
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• 2021

This study examines the impact of perceived risks for smart shoes based on purchase intention by type of smart shoes as well as how they are mediated by fashion innovativeness and technology innovativeness. It also compares the differences between awareness, interest and perceived risk of smart shoes by gender and age. This study was conducted based on men and women in their 20s to 50s who provided 246 samples for data analysis using SPSS 25.0. The results show significant differences in the awareness, interests and perceived economic risk of smart shoes by gender and age. The perceived performance risk had a positive effect on the purchase intention of smart shoes for GPS. Perceived aesthetic-psychological risk had a negative effect on all types of smart shoes. Perceived economic risk had a negative effect on the purchase intention of smart shoes for entertainment; in comparison, perceived social risk had a positive effect on the purchase intention of smart shoes for GPS and entertainment. Fashion innovativeness and technology innovativeness also mediated the relationship between perceived economic risk as well as the purchase intention of smart shoes for healthcare, GPS and entertainment.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.98-100
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• 2012

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.55-65
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• 2020

Smart photonic clothing integrates light emitting technology inside and outside of the garment and integrates it as a fashion product. It expresses digital color that radiates light outside the body that expands the functionality of the clothing as well as makes new and various attempts visually. It is also is gradually expanding into a new area of fashion. LED, one of the digital color output devices, is a light emitting device that is suitable for presenting consumer customized designs in that the patterns and colors of clothes can be modified as desired by utilizing computer technology such as program coding. LED technology that can realize various digital colors is actively applied in various industrial design fields, but there are few previous studies on smart clothes using LED color in Korean fashion fields. Therefore, this study develops a prototype of a customized LED smart photonic garment that allows the user to directly participate in the color implementation of clothing and select a digital color suitable for the desired function. The LED module was designed to be detachable from clothing and made using a 256-pixel LED matrix. Various coding patterns of the LED were designed using the coding change of Arduino program.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1211-1221
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• 2007

This research investigates the effects of fashion innovativeness and technology innovativeness on the attitude and the buying intention of smart clothing. This study employs TAM(Technology Acceptance Model) proposed by Davis(1989) as a theoretical framework. Two hundred sixty-five respondents comprised a sample used to examine a structural model. The structural equation model using AMOS was performed to test hypotheses. Fashion innovativeness was found to affect perceived usefulness while technology innovativeness affected perceived ease of use. Perceived usefulness was found to influence attitude towards smart clothing. Perceived ease of use was also found to affect attitude towards smart clothing. The attitude towards smart clothing has a direct effect on the buying intention of smart clothing. In addition, this study revealed that employing TAM to investigate the adoption of smart clothing was appropriate. Lastly, implications of this research and suggestions for future studies were discussed.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.415-424
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• 2012

According to introduction of Well-Being lifestyle and ageing society, vital sign monitoring system which can be continued measurement of vital sign has been increased their important in field of the healthcare. Under this trend, Respiration monitoring system has been studied and developed in a various way to apply continued monitoring and non-conscious monitoring system. But, Study of the respiration monitoring system based on consumer needs and usability test is insufficient. In this study, Textile capacitive pressure sensor(TCPS) of belt type was developed and tested it's utility and subjective sensibility. TCPS measures respiration signals and can be derived in real time monitoring. As a result, monitoring respiration using textile capacitive pressure sensor offers a promising possibility of convenient measurement of respiration rate (correlation (r＝0.9553, p<0.0001). In the result of usability and wearability test, all of categorizes(perceived change, wearability, movement, facility of management, usefulness) were received favorable evaluation on usability test( mean value : 3.8), and suitable location of TCPS in the clothing is deriven on the abdomen part. According to synthetical results, Basic smart clothing design based on respiration monitoring system is proposed.

• Journal of the KSME
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• v.54 no.12
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• pp.36-38
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• 2014

물리센서, 화학센서, 바이오센서 등 센서들을 독립적으로 또는 복합적으로 활용하는 다양한 센서기반 IT기술 응용 분야가 있으며, 이 글에서는 최근 센서기반 IT기술 동향과 관련하여 스마트 기기와 스마트 의류에 적용되는 경우를 예를 들어 소개하고자 한다.

• Science of Emotion and Sensibility
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• v.9 no.4
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• pp.377-383
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• 2006

The purpose of this research is to develop a design model of a smart jacket incorporating MP3 functionality for commercial use, as one of the digital lines of textile to apply If technology. In order to conduct this study, the previous studies were analyzed and usability and wearability tests were conducted using five prototype design models of smart wear with MP3 functionality. Accordingly, the smart jacket incorporating MP3 functionality for commercial use, for which user-centered interface, usability and wearability were completed, was developed by optimizing the design and location of the input interface, control module, the path of wires and earphone etc., based on textile wire and keypad. The smart jacket targets the female dress market from late-teens to early twenties. It will be a high value commodity considers all aspects of recent fashion trends, consumers' emotional satisfaction and the value of digital wear.