• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.29-37
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• 2016

Humans develop and maintain relationship through communication. Communication is largely divided into verbal communication and non-verbal communication. Verbal communication involves the use of a language or characters, while non-verbal communication utilizes body language. We use gestures with language together in conversations of everyday life. Gestures belong to non-verbal communication, and can be offered using a variety of shapes and movements to deliver an opinion. For this reason, gestures are spotlighted as a means of implementing an NUI/NUX in the fields of HCI and HRI. In this paper, using Kinect and the geometric features of the hand, we propose a method for recognizing the number of fingers and detecting the hand area. A Kinect depth image can be used to detect the hand region, with the finger number identified by comparing the distance of outline and the central point of a hand. Average recognition rate for recognizing the number of fingers is 98.5%, from the proposed method, The proposed method would help enhancing the functionality of the human computer interaction by increasing the expression range of gestures.

• Journal of the Korea Furniture Society
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• v.20 no.1
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• pp.61-70
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• 2009

This study intended to explore English of furniture tenn in relation to the joints and moldings in traditional Korean wood furniture, a base of Korean wood furniture, for the development of Korea furniture in the future. The joints such as butt joint, rabbeted joint, mitered joint, mortise-and-tenon joint, fist joint, and finger joint, and the moldings such as a piece of thread molding, half-circle molding, cove molding, flat molding, and triangle molding were analyzed between English and Korean language. The results were only basic terms which must be researched and unified in the traditional Korean furniture. Therefore, the terms in relation to the types, the details, the hardware, and so on, will have to be studied in terms of the meaning originated from the traditional craftsmen.

• Korean Journal of Childcare and Education
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• v.9 no.5
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• pp.251-276
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• 2013

This study was performed in order to examine the effects of one to one interactive picture book reading on infants' reading response and teachers' language teaching efficacy. A total of 50 2-year-olds from 8 child care centers in Incheon were divided into an experimental group and a control group. The interactive picture book reading activities were carried out once a week during 12 weeks. The infants in the experimental group read one-to-one with teachers, and their counterparts read the same book in a group. The change in teachers' language teaching efficacy was examined, and their subjective perception was evaluated through in-depth interview. As a result of this research, the infants in the experimental group showed significantly increased verbal response, compared to the control group, both in the total score and most sub-factors such as naming, responding, asking, demanding, spontaneous utterance, and decontextualized utterance. They also represented a significant rise, compared to the control group, in the total score of non-verbal response and factors like finger indicating, imitating, and accepting. Finally, the teachers who led the experimental group showed increased language teaching efficacy, and evaluated the effects of interactive picture book reading with infants very positively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.353-358
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• 2008

청각장애인들은 건청인에 비해 의사소통의 기회가 적어 원만한 상호관계를 유지하는데 어려움이 있다. 이러한 문제는 청각장애인들이 구화를 대신해 몸짓이나 손짓을 이용하여 의사를 전달하는 수화를 건청인들이 대부분 습득하고 있지 않아 청각장애인들과 의사소통이 거의 불가능 한 것이 현실이다. 따라서 본 논문에서는 건청인과 청각장애인들 간의 의사소통을 가능하게 하기 위한 전단계로 FCM 알고리즘을 이용한 지화 인식 방법을 제안한다. 제안된 방법은 화상 카메라를 통해 얻어진 영상에서 YCbCr 컬러 공간과 HSI 컬러 공간을 이용하여 피부영역을 검출한 후 추출된 피부영역을 4 방향 윤곽선 추적 알고리즘을 적용하여 두 손의 위치를 추적한다. 그리고 추적한 두 손의 영역에 대해 형태학적 정보를 이용하여 잡음을 제거한 후, 최종적으로 두 손의 영역을 추출한다. 추출된 손의 영역은 FCM 알고리즘을 적용하여 지화의 특징들을 분류하고 인식한다. 제안된 방법의 성능을 평가하기 위해 화상카메라에서 획득한 지화 영상을 대상으로 실험한 결과, 두 손 영역의 추출과 지화 인식에 있어서 효과적인 것을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.419-423
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• 2008

사람의 손동작은 오랫동안 하나의 언어역할을 하는 통신 수단으로 사용되어 왔다. 이러한 손동작 중에서 가장 체계를 갖춘 수화는 청각장애인이 일반인과 일상 대화를 할 수 있도록 도와주는 주요한 통신 수단이다. 하지만 건청인들의 대부분이 습득하고 있지 않아 청각장애인들과 의사소통이 거의 불가능 한 것이 현실이다. 따라서 본 논문에서는 건청인과 청각장애인들 간의 의사소통을 원활하게 하기 위해 색상 정보와 퍼지 클러스터링 알고리즘을 이용한 실시간 수화 인식 방법을 제안한다. 제안된 방법은 화상 카메라를 통해 얻어진 실시간 영상에서 YCbCr 컬러 공간에서 색차 정보에 해당하는 Cb, Cr 정보를 각각 추출한 후, 이진화한 영상과 원본 영상에서 마스크를 통한 에지를 추출한 이진화 영상에 대해 논리연산을 통해 두 손의 위치와 외곽을 추출한다. 추출된 각 정보를 조합하여 8 방향 윤곽선 추적 알고리즘을 적용하여 객체의 위치를 추적한다. 그리고 추적한 객체의 영역에 대해 형태학적 정보를 이용하여 잡음을 제거한 후, 최종적으로 두 손의 영역을 추출한다. 추출된 손의 영역은 퍼지 클러스터링 기법 중의 FCM 알고리즘을 적용하여 수화의 특징들을 분류하고 인식한다. 제안된 방법의 성능을 평가하기 위해 화상카메라를 통해 얻어진 실시간 영상을 대상으로 실험한 결과, 제안된 방법이 두 손 영역의 추출에 효과적이고 수화 인식에 있어서 가능성을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.117-123
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• 2016

A hand-gesture interface to manipulate a 3D object of augmented reality is implemented by recognizing the user hand-gesture in this paper. Proposed method extracts the hand region from real image, and creates augmented object by hand marker recognized user hand-gesture. Also, 3D object manipulation corresponding to user hand-gesture is performed by analyzing a hand region ratio, a numbet of finger and a variation ratio of hand region center. In order to evaluate the performance of the our proposed method, after making a 3D object by using the OpenGL library, all processing tasks are implemented by using the Intel OpenCV library and C++ language. As a result, the proposed method showed the average 90% recognition ratio by the user command-modes successfully.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.1
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• pp.42-47
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• 2010

The pulse diagnosis is an important method in Oriental Medicine. Recently, there have been continuous attempts to replace the finger palpation by Oriental medical doctors (OMDs) by more objective tools based on machines, e.g., pulse analyzers. To improve the performance of the pulse analyzers, both the machine-appropriate interpretations for the pulse images appeared in the literature and the improvement in the repeatability and reproducibility of the measurement sensors are to be developed. As an attempt towards the transformation of the pulse images in terms of machine-appropriate language, in this work, we suggest an upgraded algorithm for the solid/deficient pulses, which are the two representative pulse images informing us how strong the pulse pressure is. It has been argued that one could determine the solid/deficient pulses by the maximum pulse pressure from pulse analyzers. However, by a clinical test, we found that the maximum pulse pressure alone is not sufficient to determine the solid/deficient pulses. In addition to the maximum pulse pressure, the mean pulse pressure averaged over for five different hold-down pressures(3-D MAC) is needed to improve the agreement with the OMD's decision for the solid/deficient pulse. We found that, among the data diagnosed with having either the solid pulse or deficient pulse by OMDs, the novel algorithm showed 86.0% diagnosis rate and 81.6% concordance rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2363-2374
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• 2016

Communication occurs through verbal elements, which usually involve language, as well as non-verbal elements such as facial expressions, eye contact, and gestures. In particular, among these non-verbal elements, gestures are symbolic representations of physical, vocal, and emotional behaviors. This means that gestures can be signals toward a target or expressions of internal psychological processes, rather than simply movements of the body or hands. Moreover, gestures with such properties have been the focus of much research for a new interface in the NUI/NUX field. In this paper, we propose a method for recognizing the number of fingers and detecting the hand region based on the depth information and geometric features of the hand for application to an NUI/NUX. The hand region is detected by using depth information provided by the Kinect system, and the number of fingers is identified by comparing the distance between the contour and the center of the hand region. The contour is detected using the Suzuki85 algorithm, and the number of fingers is calculated by detecting the finger tips in a location at the maximum distance to compare the distances between three consecutive dots in the contour and the center point of the hand. The average recognition rate for the number of fingers is 98.6%, and the execution time is 0.065 ms for the algorithm used in the proposed method. Although this method is fast and its complexity is low, it shows a higher recognition rate and faster recognition speed than other methods. As an application example of the proposed method, this paper explains a Secret Door that recognizes a password by recognizing the number of fingers held up by a user.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.14 no.1
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• pp.123-127
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• 2003

Cornelia de Lange syndrome is a dysmorphogenic disorder characterized by multiple congenital abnormalities, mental retardation, growth retardation and neurodevelopmental abnormalities. Diagnosis for the Cornelia de Lange syndrome is dependent on the clinical observation because neither definite biological marker nor definite chromosomal abnormality have been investigated. Clinical observation is important for the diagnosis, so we report a case of Corenelia de Lange syndrome with mental retardation and autistic disorder. The patient is a 6-year old girl. Her motor development and language development have been delayed. She could say no meaningful word and understood simple command partially. She showed poor eye contact and poor emotional interaction. Social interaction was impaired and she Showed stereotypic behaviors. Thus we diagnosed her as mental retardation with autistic disorder. She had vesicoureteral reflux, frequent upper respiratory infection and pneumonia. She had experienced febrile convulsions 4 times. She had short stature, confluent eyebrows, long eyelashes, and upturned nose with anteverted nostrils. She also showed low hairline and hypertrichosis in body and extremities. Her finger was short. In this case, we diagnosed Cornelia de Lange syndrome by her characteristic face, hypertrichosis and medical and behavioral problems that were frequently showed in this syndrome.