• Journal of Korean Institute of Industrial Engineers
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• v.36 no.3
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• pp.146-153
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• 2010

The purposes of this are (1) to present representative five hand dimensions by measurement year, (2) to investigate hand characteristics based on relative ratios of varying hand dimensions and (3) to compare Korean hand dimensions to other countries' data. Comparing to those of 1979, statures of 2004 increased by 3.0~3.5%, while males' hand dimensions of hand length, medius finger length, hand circumference, hand breadth and hand thickness decreased by 2.0~5.0%. Ratios of hand dimensions to those of medius finger were not significantly different depending upon age group and gender, but were significantly different depending upon races of Korean and American. Hand lengths of Koreans were shorter by about 4.0% than those of Japanese irrespective of gender, while the other compared dimensions for Koreans were larger than those of Japanese. Hand dimensions used in this study of Koreans were generally smaller that those of Americans. It is recommended from this study that when designing hand relevant things including glove, computer keyboard, smart phone key pad, etc., the different hand characteristics found in this study be fully reflected to develop competitive products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.858-861
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• 2011

In this paper, we present a RFID system by using a wireless sensor network. The proposed system is installed in glove for activity monitoring. The RFID reader, to send data by using sensor network platform and RFID tag are small size, the shape of quadrangle, and operate in the frequency of 13.56 MHz. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, and kitchenwares. The sensor node reads the data of RFID tags, it transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system. The data from each RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. We provide a web-based monitoring system, and can see the number of RFID tag readings per day as bar charts. The result of experiments demonstrates that the way we propose can help to check the situation of life for people who live alone.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.49-56
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• 2009

In this paper, we present a daily activity monitoring system by using a wireless sensor network. The proposed system is installed in glove for activity monitoring. The RFID reader, to send data by using sensor network platform and RFID tag are small size, the shape of quadrangle, and operate in the frequency of 13.56 MHz. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, and kitchenwares. The sensor node reads the data of RFID tags, it transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system. The data from each RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. We provide a web-based monitoring system, and can see the number of RFID tag readings per day as bar charts. The result of experiments demonstrates that the way we propose can help to check the situation of life for people who live alone.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.661-666
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• 2007

최근들어 제품을 개발하는 과정 중, 디자이너와 개발자, 의사 결정권자들이 FEM, CFD 시뮬레이션 결과를 리뷰할 때에 가상현실기술을 도입하는 사례가 늘고 있다. 몰입감을 높여주는 가상현실환경은 모델에 대한 해석 결과물을 정확하고 효과적으로 분석할 수 있도록 돕는다. 데이터의 실제 크기와 같게 혹은 그보다 더 크고 자세한 이미지를 제공하는 가상현실 몰입환경은 사용자가 데스크탑 환경만을 사용할 때 경험할 수 없는 높은 사실감을 제공함으로써 사용자에게 시각적인 만족감을 줄 수 있다. 하지만 데스크탑 환경에 비해 해상도가 낮고, 어두운 곳에서 스테레오 안경이나 HMD(Head Mounted Display), Data glove등을 착용해야 하는 불편함과 멀미, 시각적인 피로, 방향감각 상실로 대표되는 가상멀미 등으로 인해 장시간 사용에 어려움이 있다. 데스트탑 환경에서의 데이터 리뷰는 고해상도 이미지 분석은 가능하지만, 입체감이 떨어지기 때문에 리뷰 데이터의 실제감이 떨어진다. 이와 같은 문제점들을 보완하기 위해서 본 논문에서는 데스크탑 환경과 가상현실 환경 간의 협업이 가능한 FEM/CFD 가시화 시스템을 제시한다. 본 시스템은 가상현실 몰입환경에서 해석 데이터를 단순히 가시화하는 것뿐만이 아니라, 데스크탑 시스템과 동일한 3D 인터페이스 구조를 제공한다. 따라서, 해석 결과 분석을 위한 동일한 post-processing 작업이 네트워크로 연결된 원격 공간의 사용자들이 사용하는 시스템들 사이에서 실시간으로 진행될 수 있다.

• Smart Media Journal
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• v.1 no.3
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• pp.8-14
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• 2012

In this paper, we develope the smart phone App. contents of 3D sign language to widen the opportunity of the korean sign language education for the hearing-impaired and normal people. Especially, we propose the sign language conversion algorithm that automatically transform the structure of Korean phrases to the structure of the sign language. Also, we implement the 3D sign language animation DB using motion capture system and data glove for acquiring the natural motions. Finally, UNITY 3D engine is used for the realtime 3D rendering of sign language motion. We are distributing the proposed App. with 3D sign language DB of 1,300 words to the iPhone App. store and Android App. store.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.389-390
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• 2009

컴퓨터에서 생성된 시뮬레이션의 결과는 컴퓨터 그래픽스 기술을 이용한 일련의 가시화 과정을 거쳐서 인간이 해석하기 쉬운 형태로 변형되게 된다. 최근에는 고성능 컴퓨터(HPC: High Performance Computer)의 발달로 인해 데이터의 크기가 점점 더 증가하는 추세에 있으며, 이런 복잡한 데이터를 해석하는 데는 클러스터 시스템을 이용한 고해상도의 디스플레이 장치가 필요하다. 하지만 이런 디스플레이 장치에서 사용자 인터페이스를 제공하는 방법은 VR(Virtual Reality, 가상현실) 환경을 활용하는 것이 거의 유일한 해결책이다. 하지만 현재 VR 환경에서 시뮬레이션 데이터 해석에 필요한 적절한 사용자 인터페이스를 제공하는 툴은 존재하지 않는다. 이에, 본 논문에서는 시뮬레이터 데이터, 특히 로터 동역학 분야의 시뮬레이션 데이터를 VR 환경에서 가시화하는 GLOVE 프레임워크의 통합 인터페이스를 소개한다. 이 인터페이스는 VR 환경에서 시뮬레이션 데이터를 실시간으로 상호작용을 통해 분석하는 데 필요한 기반 환경을 제공한다.

• Journal of Fashion Business
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• v.27 no.3
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• pp.19-34
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• 2023

The purpose of this study was to analyze the three-dimensional hand-related dimensions of elderly women aged 70 to 84 years and to characterize them to develop safety gloves for dementia patients. The 3D data from the 8th Human Size Survey of the National Institute of Standards and Technology, Size Korea, were analyzed using the SPSS 26.0 program. The straight thumb length was longer in elderly women aged 70-74 than in those aged 80-84. To analyze the hand type of elderly women, four factors were categorized: hand and finger horizontal factor, hand vertical factor, finger digit V thickness factor, and finger length factor. Elderly women's hand types were categorized as 'long hands and thin fingers', 'thick hands with long fingers', and 'short hands and thick little fingers'. Elderly women aged 70-74 years and 80-84 years were analyzed as having the most 'long hands and thin fingers' type, while older women aged 75-79 years were analyzed as having the most 'thick hands and long fingers' type. It is known that the fingers get thicker and the size of hands increase as age advances, but by the age 80, there is a change in the size of hands again. In future research, it would be worth expanding to other age groups to explore differences between age groups and to develop safety gloves for real-world dementia patients based on the hand types analyzed.

• Journal of Korean society of Dental Hygiene
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• v.24 no.2
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• pp.163-174
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• 2024

Objectives: This study aimed to understand the knowledge, attitude, and wearing of four types of personal protective equipment among dental hygienists based on to the COVID-19 infection control guidelines and to provide basic data on the need to wear these equipment by dental hygienists in dental medical institutions. Methods: Between March 31 and April 26, 2022, 285 dental hygienists working at dental institutions in Busan and Gyeongsang Provinces participated in the study. Results: The higher the knowledge on personal protective equipment, the higher the glove-wearing rate; and the higher the attitude toward personal protective equipment, the higher the KF94 mask-wearing rate. Furthermore, the higher the rate of wearing face shields, the higher the rate of wearing gloves and full-body protective suits; and the higher the rate of wearing gloves, the higher the rate of wearing a full-body protective suit. Conclusions: To prevent cross-infection by dental hygienists in dental medical institutions, it is necessary to have the four types of personal protective equipment at all times and to strengthen comprehensive education on these equipment

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.574-582
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• 2013

This study categorizes and analyzes hand types based on 2-Dimensional measurements of women in their 60-80's in order to establish initial data that can help develop a well-fitted glove and hand protector for elderly women. A total of 22 measurement items were selected to provide information about Size Korea (2010) 3D hand measurements. Participants in the study were 353 elderly women over the age of 60. Subjects were divided into two age groups (60's and over 70's). Statistical tests (such as Descriptive Analysis and T-test) analyzed the data and ascertained the age differences. A factor analysis and cluster analysis were conducted to classify elderly women hand types. The disparities between 20-30's and over 60's age groups were compared by T-test with the SPSS 20 program for Windows. The results in this study are follows: The hand shapes for elderly women were divided into 3 groups. Elderly women's Hand Type A is average length and the medium breadth hand type. Type B is the biggest length and breadth, Type C is the smallest length and breadth hand type. There were significant differences in the 20-30's and over 60's age groups for most hand length and breadth items. In addition, the mean measurement value of the length items decreased as the age increased; however, the diversity of items increased, so that it became shorter and wider. Further study should include the classification of hand shape dimensions for each figure type of sizing gloves for elderly women. We expect hand types to be applicable to the manufacture of gloves for elderly women.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.915-930
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• 2011

There are a variety of methods to model game results and many methods exist for the case of paired comparison data. Among them, the Bradley-Terry model is the most widely used to derive a latent preference scale from paired comparison data. It has been applied in a variety of fields in psychology and related disciplines. We applied this model to the data of Korean Baseball League. It shows that the loglinear Bradley-Terry model of defensive rate and save is optimal in terms of AIC. Also some categorical characteristics, such as east team and west team, existence of golden glove winning players, team(s) with seasonal pitching leader, and team(s) with home advantage, influenced the game result significantly. As a result, the suggested models can be further utilized to predict future game results.