• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.286-291
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• 2007

핸드폰의 사용이 확대되면서 젊은 층뿐만 아니라 노년층 및 어린이들의 핸드폰 사용도 많이 늘고 있다. 그러나 현재의 핸드폰은 대부분10~30대의 중급 이상의 사용자를 중심으로 설계되어 있어, 이미 생활필수품이 된 휴대폰을 고령 사용자가 사용하기에는 많은 제약 사항이 존재한다. 이런 제약 사항들에는 작은 사이즈의 Font와 같은 물리적 제약에서 단순한 통화방식에 익숙하여 새로운 것을 유연하게 받아들이지 못해서 발생하는 인지적인 제약까지 포함되어 있다. 본 연구에서는 고령 사용자의 일상생활 중 휴대폰 관련된 불편 요소와 특이사항을 조사하여 도출하였던 요구사항을 기반으로 유니버설 디자인 휴대폰의 UI디자인 개발을 위한 가이드라인을 도출하는 것을 목표로 하였다. 본 연구에서는 고령 사용자의 핸드폰 사용 행태를 관찰하여 현재 휴대폰에서의 사용 문제점을 포함하여 사용상의 특이점을 파악한 후 고령 사용자와 초급 사용자의 불편을 최소화 할 수 있는 유니버설 디자인 휴대폰의 UI가이드라인을 제시하였다. 이를 위해 먼저 문헌연구를 통해 유니버설 디자인의 기본 개념을 살펴본 후 문맥적 사용자 조사 기법을 적용하여 1차 사용자 VOC(Voice of Customer)수집 후 주요 사용자 특성을 정의하였으며, 2차 심층 조사를 통해 핸드폰 사용시 노년층의 사용자의 Usage행태 조사를 수행하였다. 2차에 걸친 사용자 조사를 통해 도출된 요구 사항을 종합 분석하여 세분화된 휴대폰의 UI 요소에 따라 디자인 가이드라인을 도출하였다. 본 연구는 고령 사용자의 휴대폰 관련 요구사항을 공용성이 강조된 유니버설 디자인 휴대폰 개념으로 개발하기 위한 전략과 UI 디자인 가이드라인을 제시하고 있다는데 의의가 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8C
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• pp.690-696
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• 2012

Recently, the need for telemedicine services and user's service requirements are increasing, the research for more convenient telemed service is underway in various fields. In this paper, we propose that Integrated telemedicine system possible to regular health care. unlike the existing telemedicine system, we combine the voice communications systems and biometric information based on CPS (Cyber Physical System) using wireless communication sensor and elderly people who disabilities are transmit the information comfortably, Also doctors in correspondent site are able to improves the accuracy of the medical treatment by received information about biometric and audio communication. In addition Health status information is stored selectively and then doctor can check the elders status everytime and everywhere. In this paper, we designed the telemedicine system suitable for korea aging society situation, therefore we could offer the Elderly-friendly medical service for seniors who live in silver town.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.81-90
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• 2008

While increasing demand of the service for the disabled and the elderly people, assistive technologies have been developed rapidly. The natural signal of human such as voice or gesture has been applied to the system for assisting the disabled and the elderly people. As an example of such kind of human robot interface, the Soft Remote Control System has been developed by HWRS-ERC in $KAIST^[1]$. This system is a vision-based hand gesture recognition system for controlling home appliances such as television, lamp and curtain. One of the most important technologies of the system is the hand gesture recognition algorithm. The frequently occurred problems which lower the recognition rate of hand gesture are inter-person variation and intra-person variation. Intra-person variation can be handled by inducing fuzzy concept. In this paper, we propose multivariate fuzzy decision tree(MFDT) learning and classification algorithm for hand motion recognition. To recognize hand gesture of a new user, the most proper recognition model among several well trained models is selected using model selection algorithm and incrementally adapted to the user's hand gesture. For the general performance of MFDT as a classifier, we show classification rate using the benchmark data of the UCI repository. For the performance of hand gesture recognition, we tested using hand gesture data which is collected from 10 people for 15 days. The experimental results show that the classification and user adaptation performance of proposed algorithm is better than general fuzzy decision tree.

• Journal of the Korean Society for information Management
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• v.38 no.3
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• pp.199-214
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• 2021

This study was conducted with the aim of identifying the current state and improvements of the public library services for older adult in Korea. According to the online survey of public libraries in urban areas across the country, a total of 172 libraries responded. Research shows that public libraries generally recognize the importance of elderly users, but there are limitations in active efforts. The priority area for library collection and space/facilities was to be strengthened by the expansion of large type and voice books/periodical books, as well as the need to ask librarians for help to find books in high bookshelves. In the case of library services/programs, the areas that need to be strengthened first were analyzed as social participation programs and humanities programs. The librarians in charge of information services expressed their opinions that more specialized services and programs should be planned and subdivided for the elderly generation in order to provide older adults' services unique to other older adults' service institutions.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.32 no.2
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• pp.104-108
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• 2021

The etiology of laryngeal hemangioma is unclear, and it is classified into infant and adult types. The former is capillary hemangioma and relatively common, the latter is cavernous type and very rare. The adult laryngeal hemangioma mainly occurs in supraglottis and glottis. A 75-year-old man came to our clinic with a voice change that started four months ago. The laryngoscopic finding showed that the surface of oval-shaped mass is covered with turbid exudates. We performed the laryngeal microsurgery with CO₂ laser. The mass was pathologically proven as cavernous hemangioma. We report a very rare and didactic case with review of relevant literature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2787-2800
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• 2022

The aging society increases emergency situations of the elderly living alone and a variety of social crimes. In order to prevent them, techniques to detect emergency situations through voice are actively researched. This study proposes CutPaste-based anomaly detection model using multi-scale feature extraction in time series streaming data. In the proposed method, an audio file is converted into a spectrogram. In this way, it is possible to use an algorithm for image data, such as CNN. After that, mutli-scale feature extraction is applied. Three images drawn from Adaptive Pooling layer that has different-sized kernels are merged. In consideration of various types of anomaly, including point anomaly, contextual anomaly, and collective anomaly, the limitations of a conventional anomaly model are improved. Finally, CutPaste-based anomaly detection is conducted. Since the model is trained through self-supervised learning, it is possible to detect a diversity of emergency situations as anomaly without labeling. Therefore, the proposed model overcomes the limitations of a conventional model that classifies only labelled emergency situations. Also, the proposed model is evaluated to have better performance than a conventional anomaly detection model.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.1-12
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• 2018

Objective : This study conducted a preliminary study to develop a occupational therapy model focused on improving living functions within the community care system. Methods : From June to July, 2018, the literature on community care was researched, focusing on cases of Japan's Management Tool for Daily Life Performance (MTDLP), Sweden, United Kingdom, Germany and domestic S Elderly Care Centers and I Health Centers. Based on this information, a group of experts developed a occupational therapy model within the community care system. Results : Assessment tools such as occupation-based health promotional table, interest checklist, occupational goals for improving living functions, sheet for evaluation of living functions, survey of daily life time (weekday and weekend), and sheet for transition of living functions were developed to conduct evaluation for occupational therapy. The improving living functions program, analysis of activities based on ICF model, lifestyle redesign program, cognitive exercise therapy, the Lee Silverman Voice Treatment (LSVT), hospice, and home modification were also organized interventions already in place by occupational therapists. Conclusion : This study showed specific measures and models for the implementation of occupational therapy within community care systems. Occupational therapy is positioned as a specialized area that is essential to the client, and we look forward to the use of this model.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.6
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• pp.50-63
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• 2000

In this paper, a new EMG pattern classification method based on soft computing techniques is proposed to help the disabled and the elderly handle rehabilitation robotic arm systems. First, it is shown that EMG is more useful than existing input devices such as voice, a laser pointer and a keypad in view of naturality, extensibility, and applicability. Then, a new procedure is proposed to select the minimal feature set. As methods of classifying the pre-defined motions, a fuzzy pattern classification and fuzzy min-max neural networks (FMMNN) are designed using the selected features. As results, the motions are recognized with success rates of 83 percent and 90 Percent using fuzzy pattern classification and FMMNN, respectively.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.1-13
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• 2024

This study aims to provide a customized dynamic kiosk screen that considers user characteristics to cope with changes caused by increased use of kiosks. In order to optimize the screen composition according to the characteristics of the digital vulnerable group such as the visually impaired, the elderly, children, and wheelchair users, etc., users are classified into nine categories based on real-time analysis of user characteristics (wheelchair use, visual impairment, age, etc.). The kiosk screen is dynamically adjusted according to the characteristics of the user to provide efficient services. This study shows that the system communication and operation were performed in the embedded environment, and the used object detection, gait recognition, and speech recognition technologies showed accuracy of 74%, 98.9%, and 96%, respectively. The proposed technology was verified for its effectiveness by implementing a prototype, and through this, this study showed the possibility of reducing the digital gap and providing user-friendly "barrier-free kiosk" services.

• The Korean Journal of Mycology
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• v.40 no.1
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• pp.39-43
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• 2012

The knowledge of native wild mushrooms traditionally using in Jeju Island, that have specific native environment and various biodiversity, was investigated. From Jeju and Seogwipo cities including 7 provinces 4 locals, so total 50 villages, data was collected in the entire area and voice of the 93 elderly people between the age of fifty and ninety were recorded. As a result, total 23 native wild mushrooms were used in which 2 species were poisonous mushrooms, 7 species were medicinal mushrooms, 2 species was used for folk religion, 2 species were not used for living but for attention and 12 species were edible mushrooms. Also, a total of 267 cases of traditional knowledge was collected, in which 197 cases were about edible mushrooms for 12 species, 43 cases were about poisonous mushrooms for 2 species, 16 cases were about medicinal mushrooms for 7 species. Interestingly, the fortune for agriculture was told depending on spore mass release of Cyathus stercoreus which grows in animal feces and compost. It is considered as the distinctive traditional knowledge of Jeju Island.