• Title/Summary/Keyword: Smart clothes

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Analytical Study on Research Trends of Clothing Comfort Reported in Korean Journals (의복환경학 분야의 국내 연구동향)

  • Kweon, Sooae
    • Korean Journal of Human Ecology
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    • v.24 no.4
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    • pp.541-554
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    • 2015
  • In this research in order to grasp the recent research trends of clothing comfort in Korea, 584 theses have been analyzed about the forms, contents and subjects of their researches which have been published in four Korean Journals from 2000 to 2012. The results are as follows: Many of the research contents were on the clothing comfort and environmental adaptation clothes in all journals. Handle, skin temperature, clothing pressure and working clothes showed the highest frequency ln the key words. The review studies were the fewest, and experimental or survey researches were largely conducted. The research forms showed the significant differences according to the research contents. The subjects were largely focused on those aged from 18 to 29, and among the research subjects on clothing comfort, female were more than male. However, in the researches on clothing quantity and clothes wearing conditions, many of them were the studies whose subjects were both men and women. The male and old subjects increased more and more. The number of the theses in the field of clothing environmentology showed the gradually increasing tendency. The most rates were the theses on clothing comfort, but as the number of those on environment adaptation clothes increased more and more, the research contents in the two fields showed much the same. Though the attention to aging and smart clothes is increasing, the research on this is very few. Therefore, it is thought that the study on this field will have to be conducted actively.

Weather Data-Based Coordination Recommendation Smart Wardrobe System (날씨 데이터 기반 코디추천 스마트옷장 시스템)

  • Lee, Tae-Hun;Jeong, Hui;Kwon, Jang-Ryong;Baek, Pil-Gyu;Lee, Boong-Joo
    • 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.

A Study on a Healthcare System Using Smart Clothes

  • Lim, Chae Young;Kim, Kyungho
    • Journal of Electrical Engineering and Technology
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    • v.9 no.1
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    • pp.372-377
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    • 2014
  • Being able to monitor the heart will allow the diagnosis of heart diseases for patients during daily activities, and the detection of burden on the heart during strenuous exercise. Furthermore, with the help of U-health technology, immediate medical action can be taken, in the case of abnormal symptoms of the heart in daily life. Therefore, it appears to be necessary to develop the corresponding technology to monitor the condition of the heart daily. In this study, a novel wearable smart system was proposed, to monitor the activity of the heart in daily life, and to further evaluate the rhythm of arrhythmia. The wearable system includes three modified bipolar conductive fiber electrodes in the chest part, which can resolve the reduction problem of the magnitude of the signal, by magnifying the signal and removing the noise, to obtain high affinity and validity for medical-type usage (<0.903%). The biological signal acquisition and data lines, and the signal processing engine and communication consist of a conductive ink, and the pic18 and ANT protocol nRF24AP2, respectively. The proposed algorithm was able to detect a strong ECG, signal and r-point passing over the noise. The confidence intervals were 96 %, which could satisfy the requirement to detect arrhythmia under the unconstrained conditions.

The Study of Fashion Scarf Presentation

  • Park, Soon-Chun
    • Proceedings of the Korea Society of Costume Conference
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    • 2003.10a
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    • pp.83-83
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    • 2003
  • There is no other accessaries that is loved unchangeably in our clothes's life. It is always used except very hot season and it is loved as a necessity item of fashion coordination item used by catholic age group. There are many smart dressers who match more than ten scarfs to clothes otherwise having one or two before. The more having scarf is better for giving new images with usual clothes. The scarf fashion is boomed in streets from last season. Especially, luxury scarf is that popularity accessories in twenties women with a tendency of emphasizing wealth. The popularity of scarf can easily be recognized on the streets and on the displays in department. And the character brand of new basic feminie style is suggested the scarf as an accessary for coordination. It is appeared that animal prints, ethnic flower pattern prints and geometrical patterns for scarf. As the trend of fashion trade is diversified with classic and vintage, the design and style of scarf is satisfied. So there is a purpose of studying fashion scarf presentation to use scarf more efficiently.

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Exploring Requirements of the Smart Textiles for Bio-Signal Measurement Based on Smart Watch User Sensibility (스마트워치 사용자감성에 기반한 생체신호측정용 스마트 텍스타일의 요구조건 탐색)

  • Jang, Eunji;Kim, Inhwan;Lee, Eu-Gene;Cho, Gilsoo
    • Science of Emotion and Sensibility
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    • v.20 no.4
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    • pp.89-100
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    • 2017
  • Since smart devices are able to efficiently provide information without barriers of time and location, they are widely utilized with advent of the hyper-connected society. Especially, the smart devices have been developed in the form of wearable devices for mutual interaction between human and objects. Smart clothing, which embeds smart devices within clothes, measures and obtains a variety of bio-signals as it is in close contact with the human bodies. Conventional smart clothing generated wearers' discomfort because they were developed by simple attachment of electronic devices to clothes. Therefore, it is highly recommended to develop novel smart clothing based on smart textiles which integrate electronic devices as parts of textiles. As smart watches are currently the most available wearable devices in the market, smart watch users were selected in this study, for the purpose of investigating core needs of wearable smart device users based on the user experience and user's sensibility. Qualitative research was performed through semi-structured interview in order to obtain detailed answers about user sensibility based on smart watch user experience. After the in-depth interview, the user's sensibility was categorized into four aspects; functional, aesthetic, social, and empirical. Sensibility adjectives and key words were assigned to each aspect and their frequency was analyzed. It was the functional aspect of sensibility that the wearable device users require the most. The results of this study will be utilized as a fundamental data to develop the smart textiles required for the next generation of smart clothing which is attracting as a future wearable device.

Suggestion of the Structure for Development of Smart Pants with Vibrating Massaging Function (진동 안마 기능의 스마트 팬츠 개발을 위한 설계 제안)

  • Choi, Sun-Yoon;Lee, Jeong-Ran
    • Fashion & Textile Research Journal
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    • v.9 no.3
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    • pp.327-335
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    • 2007
  • As the digital environment gets ubiquitous, domestic and international research and development on smart clothing is being conducted actively these days. However, most research is being carried out with its center on upper garment. So research on lower garment is insufficient even though it affects wearer's activity and comfort to a great extent when digital devices are attached or wearers moves their body. Therefore, the type of clothes this research proposes is men's formal pants which have an electrically-vibrating wearable device. These are smart pants which are helpful in easing muscle pain with their massaging effect in daily life. For this purpose, this research intends to develop patterns considering the body shapes and movements of wearers and suggest a tentative structure plan for smart pants where a vibration device is attached, which is mainly composed of vibrating motor, controller, and switch, and considered their bulks, numbers, attaching places.

Enhancement Techniques of Color Segmentation for Detecting Missing Persons in Smart Lighting System using Radar and Camera Sensors (레이다 및 카메라 내장형 스마트 조명에서 실종자 탐지용 색상 검출 향상 기법)

  • Song, Seungeon;Kim, Sangdong;Jin, Young-Seok;Lee, Jonghun
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.3
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    • pp.53-59
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    • 2020
  • This paper proposes color segmentation for detecting missing persons in a smart lighting system using radar and camera sensors. Recently, smart lighting systems built-in radar and cameras have been efficient in saving energy and searching for missing persons, simultaneously. In smart lighting systems, radar detects moving objects and then the lights turn on and camera records. The video recorded is useful to find out missing persons. The color of their clothes worn in missing persons is one of critical hints to look for missing persons. Therefore, color segmentation is an effective means for detecting the color of their clothes. In this paper, during the color segmentation step, the ROI(Region of interest) setting based on the size of an object is applied and the background is reduced. According to experimental results, the color segmentation has good accuracy of more than 97%.

An Implementation of Smart Laundry Management System Using Wrieless RFID Reader (무선 RFID 리더기를 이용한 스마트 세탁물 관리 시스템 개발)

  • Lee, Seung-Joon;Lee, Chang-Won;Nghia, Troung Van;Kim, Joo-Woong;Jung, Kyung-Kwon;Eom, Ki-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.811-814
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    • 2011
  • This paper presents smart laundry management system using wireless Radio Frequnecy Identification (RFID) reader for efficient managing a large amount of laundry and clothing. The proposed system is comprised of wireless RFID hanger, base module connected on PC, and server system. The wireless RFID hanger with RFID reader read RFID tag attached on clothes and transmit tag information using wireless communication. The server system manage customers and his clothing using Database (DB) and display the information on the web page and smart phone devices. Since the proposed system operates with battery, we can evaluate its lifetime to measure current consumption. The designed system can be utilized to manage quantities of clothes and also it will be a good service to improve efficiency of laundry process.

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A Smart Closet Using Deep Learning and Image Recognition for the Blind (시각장애인을 위한 딥러닝과 이미지인식을 이용한 스마트 옷장)

  • Choi, So-Hee;Kim, Ju-Ha;Oh, Jae-Dong;Kong, Ki-Sok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.51-58
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    • 2020
  • The blind people have difficulty living an independent clothing life. The furniture and home appliance are adding AI or IoT with the recent growth of the smart appliance market. To support the independent clothing life of the blind, this paper suggests a smart wardrobe with closet control function, voice recognition function and clothes information recognition using CNN algorithm. The number of layers of the model was changed and Maxpooling was adjusted to create the model to increase accuracy in the process of recognizing clothes. Early Stopping Callback option is applied to ensure learning accuracy when creating a model. We added Dropout to prevent overfitting. The final model created by this process can be found to have 80 percent accuracy in clothing recognition.

A Study of Digital filter for context-awareness using multi-sensor built in the smart-clothes (멀티센서 기반 스마트의류에서 상황인지를 위한 디지털필터연구)

  • Jeon, Byeong-chan;Park, Hyun-moon;Park, Won-Ki;Lee, Sung-chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.911-913
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    • 2013
  • The user's context awareness is important to the reliability of sensors data. The sensor data is constantly change to external temp, internal& external environment and vibration. This noise environment is affecting that the data collected information from sensors. Of course this method of digital filter and inference algorithm specifically request for the use of ripple noise and action inference. In this paper, experiment was a comparison of the KF(Kalman Filter) and WMAF(Weight Moving Average Filter) for noise decrease and distortion prevention according to user behavior. And, we compared the EWDF(Extended Weight Dual Filter) with several filer. In an experiment, in contrast to other filter, the proposed filter is robust in a noise-environment.

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