• Journal of Korea Game Society
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• v.9 no.4
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• pp.67-80
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• 2009

In this paper, we described the development of a Korean Manual Alphabet (KMA) learning game with avatar. KMA letters correspond to the vocabulary of Korean Sign Language (KSL) when spelling a word. Each KMA letter corresponds to a letter of the Korean Alphabet (KA) and KA is represented as hand shapes by sign language user. We developed a KMA learning game for a beginner to learn KMA letters from sign language avatar and practice KMA presentation easily. The system composed of sign language teacher avatar GUI popup window based on OpenGL, KMA letter recognition module, KA letter raining game module and USB camera. A user learns a KMA letter with expressing KA syllabic from avatar and inputs a KMA letter to the system using USB camera. We evaluated the efficiency of the developed system through the verification of users.

• The Journal of Korea CHUNA Manual Medicine
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• v.4 no.1
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• pp.89-98
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• 2003

The multiple acupuncture techniques have been used to relieve the pain of lateral ankle sprain. Recently, early functional rehabilitation is emphasized in rehabilitative concepts using active ROM, facilitated proprioception, alphabet exercise and so forth. Similarly, in oriental rehabilition medicine, traditional movement technique called "Dong-Ki" has been used to relieve pain of ankle sprain. So we used "Dong-Ki" technique with SSP(silver spike point) electrotherapy transformed from alphabet exercise and evaluated the effects in method of randomized controlled trials. Methods : 27 outpatients with lateral ankle sprains were randomized into two groups : 15 samples and 12 controls. Sample group was treated with "Dong-Ki" technique(writing his name with foot) with SSP electrotherapy to relieve pain during additionally. "Dong-KI". Outcomes were measured by 10cm VAS and ankle circumference(cm). Results : In terms of VAS, Sample group had inclination of pain relieving but not significantly meaningful. In terms of ankle circumference measurement, Sample group showed significantly improved.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.333-336
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• 1996

The sign language is a method of communication for deaf person. For sign communication, sign language and manual alphabet are used continuously. In this paper is proposed a system which recognize Korean sign language(KSL) and Korean manual alphabet(KMA) continuously. For recognizing KSL and KMA, basic elements for sign language, namely, the 14 hand directions, 23 hand postures, and 14 hand orientations are used. At first, this system recognize current motion state using speed and change of speed in motion by state automata. Using state, basic element classifiers using Fuzzy Min-Max Neural Network and Fuzzy Rule are executed. Meaning of signed gesture is selected by using basic elements which was recognized.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.6
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• pp.76-87
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• 1998

This paper deals with a system which recognizes dynmic hand gestures, Korean Sign Language(KSL), mixed with static hand gesture, Korean Manual Alphabet(KMA), continuously. Recognition of continuous hand gestures is very difficult for lack of explicit tokens indicating beginning and ending of signs and for complexity of each gesture. In this paper, state automata is used for segmenting sequential signs into individual ones, and basic elements of KSL and KMA, which consist of 14 hand directions, 23 hand postures and 14 hand orientations are used for recognition of complex gestures under consideration of expandability. Using a pair of CyberGlove and Polhemus sensor, this system recognizes 131 Korean signs and 31 KMA's in real-time with recognition rate 94.3% for KSL excluding no recognition case and 96.7% for KMA.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.300-303
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• 2007

지문자는 청각장애인이 사용하는 수화로 표현하지 못하는 한글 문자를 알파벳으로 표시하기위한 손 제스처이다. 본 논문에서는 추출된 손 영역의 무게 중심과 퍼지 논리를 이용하여 지문자를 인식하는 알고리즘을 제안하고, 한글 문자를 표현하는 시스템을 개발한다. USB 카메라로부터 얻어진 영상에서 히스토그램을 이용하여 손의 피부색 영역을 추출하고, 영상 마스크를 이용하여 피부색이 아닌 배경 영역을 제거한다. 문턱 값을 사용하여 얻어진 이진화된 영상에서 손의 영역을 검출하고, 무게 중심을 이용하여 손 중심과 손가락 끝의 거리를 측정한다. 얻어진 거리 정보에 퍼지 기법을 적용하여 손가락의 굽힘 정도를 판단하고, 손 모양 데이터베이스에서 손가락 굽힘 정도와 가장 근사한 한글 문자를 선택한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.627-630
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• 2001

정보화 시대를 살아가는 구성원중 하나인 청각 및 언어 장애인들의 경우, 정보 전달 및 소통이 필요한 일상 생활은 물론, 교육 현장에서도 어려움을 겪고 있는 것이 현실이다. 따라서 이러한 어려움을 극복하기 위해 장애인 보조 시스템의 개발이 진행되고 있으나 그 결과는 아직 미미하다. 본 논문은 청각 및 언어 장애인들에게 컴퓨터와의 상호 작용을 통해 정보 전달을 지원할 수 있는 시스템을 구축하여 더 나은 교육 환경을 제공하는데 그 목적이 있다. 즉, 사이버 공간에서 수화하는 아바타를 통해 정보를 전달하는 시스템을 설계하고 구축한다. 그 첫 번째 단계로써 입력 장치를 통해 받아들인 단어를 자소별로 변환한 뒤, 3D 지화 애니메이션으로 표현하였으며, 이 연구 결과는 수화 아바타 시스템의 기반이 될 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.76-79
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• 2007

수화는 하나의 제스처가 하나의 단어를 나타내는 수화 단어와 한글을 알파벳으로 표현하는 지문자로 구성되어 있다. 본 논문에서는 USB 카메라로부터 촬영한 영상을 얻고 히스토그램을 이용하여 피부색 영역을 추출한다. 얼굴 영역 추적을 활용하여 이미지를 그리드화하고 지문자의 위치를 파악하여 초성, 중성, 종성을 구분하고 한글 음절을 구성하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.6
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• pp.805-814
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• 2013

This paper proposes a robust hand segmentation method using view-invariant characteristic of a wrist-mounted camera, and deals with a hand shape recognition system based on segmented hand information. We actively utilize the advantage of the proposed camera device that provides view-invariant images physically, and segment hand region using a Bayesian rule based on adaptive histograms. We construct HSV histograms from RGB histograms, and update HSV histograms using hand region information from a current image. We also propose a user adaptation method by which hand models gradually approach user-dependent models from user-independent models as the user uses the system. The proposed method was evaluated using 16 Korean manual alphabet, and we obtained increases of 27.91% in recognition success rate.