• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.468-478
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• 2006

Purpose: The purpose of this study were to find out the degree of memory decline and to confirm its correlated factors in old adults. Method: The subjects consisted of 68 old adults over the age 65 who living in Busan. Data were collected by the interview method, using a structured questionnaire and the testing method on the memory performance. Results: The old adults' memory performances declined in tasks of immediately word recall, delayed word recall, and face recognition and increased slightly in word recognition over 2 years. However, there was only significant difference in delayed word recall task. The significant variables to predict memory decline were age, literacy, depression, locus, and strategy. Conclusion: The memory decline of old adults wasn't more serious problem than the perceived one. There needs to be some intervention programs to prevent memory decline for the elderly.

• Proceedings of the KSMRM Conference
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• 2003.10a
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• pp.81-81
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• 2003

This event-related fMRI study was to further our understanding about how different brain regions could contribute to effective access of specific information related to cognitive process and shows the different response of brain regions involved in recognition of familiar faces compared to unfamiliar faces and repetition effect.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.591-611
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• 2016

High dimensional space is the biggest problem when classification process is carried out, because it takes longer time for computation, so that the costs involved are also expensive. In this research, the facial space generated from homogeneous and non-homogeneous polynomial was proposed to extract the facial image features. The homogeneous and non-homogeneous polynomial-based eigenspaces are the second opinion of the feature extraction of an appearance method to solve non-linear features. The kernel trick has been used to complete the matrix computation on the homogeneous and non-homogeneous polynomial. The weight and projection of the new feature space of the proposed method have been evaluated by using the three face image databases, i.e., the YALE, the ORL, and the UoB. The experimental results have produced the highest recognition rate 94.44%, 97.5%, and 94% for the YALE, ORL, and UoB, respectively. The results explain that the proposed method has produced the higher recognition than the other methods, such as the Eigenface, Fisherface, Laplacianfaces, and O-Laplacianfaces.

• Journal of Electrical Engineering and information Science
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• v.2 no.4
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• pp.59-65
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• 1997

In this paper, a general fuzzy syntactic method for recognition of flaw patterns and for the measurement of flaw characteristic parameters for a non-destructive inspections signal, called eddy-current, is presented. Solutions are given to the subtasks of primitive pattern selection, signal to symbol transformation, pattern grammar formulation, and event-synchronous flaw pattern extraction based on the grammars. Fuzzy attribute grammars are used as the model for the pattern grammar because of their descriptive power in the face of uncertain constraints caused by nose or distortion in the signal waveform, due to their ability to handle syntactic as well as semantic information. This approach has been implemented and the performance of eh resultant system has been evaluated using a library of law patterns obtained from steam generator tubes in nuclear power plants by an eddy current-based non-destructive inspection method.

• Korean Journal of Child Studies
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• v.6 no.2
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• pp.59-71
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• 1985

The purpose of this study was to analyze the effects of both social-status and mode of stimulus-presentation on children's empathic behavior, where empathy is defined as either the comprehension and recognition of an affective state in stimulus persons (others) or the empathic response to that perception. Middle-and lower-class kindergarten children were presented with a series of either short-sentence stories or short-pictorial stories. The subjects were asked to indicate how the child in each situation felt by selecting a "happy", "sad", or "angry" face to complete the picture accompanying each story. Immediately following the first question, children were asked to state verbally how the child in the picture might feel. The main results were (1) The mean empathy scores for the comprehension and recognition of an affective state in others and the empathic response to that perception was higher in middle-class children than in lower-class children. (2) There were differences in empathy scores to the three affective situations, i.e. the mean score for both happiness and sadness was significantly greater than for aggression, and (3) The empathy scores in the pictorial-stories were greater than in the sentence-stories.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.231-235
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• 2008

컴퓨터 및 주변기기의 성능이 발전함에 따라 영상처리에 대한 관심이 높아지고, 영상으로부터 원하는 정보를 얻기 위한 연구가 활발히 진행되고 있다. 이러한 연구에서 움직임 추적, 특정 사물 추출, 동영상 검색 등으로 정보를 추출하는 과정은 높은 시스템 자원을 요구하기 때문에 멀티태스킹이 어렵다. 따라서 본 논문에서는 시스템 자원의 사용을 최소화하는 제스쳐 인식시스템을 설계하고 구현한다. 이 시스템은 동적테이블 마스킹을 이용하여 노이즈를 제거하고, 가이드라인 인식 방법을 적용하여 손동작 제스쳐를 인식한다, 또한 안면 비율 분할 방법과 음영 측정 방법을 이용하여 눈과 입술의 제스쳐를 인식한다.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.8
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• pp.114-123
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• 1996

In this paper, we propose an automatic recognition algorithm using the object centroid of a facial image. First, we separate the facial image from the background image using the chroma-key technique and we find the centroid of the separated facial image. Second, we search nose in the facial image based on knowledge of human faces and the coordinate of the object centroid and, we calculate 17 feature parameters automatically. Finally, we recognize the facial image by using feature parameters in the neural networks which are trained through error backpropagation algorithm. It is illustrated by experiments by experiments using the proposed recogniton system that facial images can be recognized in spite of the variation of the size and the position of images.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.729-732
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• 2001

Individual authentication system that take advantage of multimodal information is very efficient method that can take advantage of method of speech recognition, face recognition, electron signature etc. and protect important information from much dangers that exits on communication network whole as skill that construct security system. This paper deal product connected with hardware from internet space based on public key sign and electron signature description embodied system. Maintenance of public security is explaining that commercial transaction system implementation that is considered is possible as applying individual authentication.

• ETRI Journal
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• v.30 no.4
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• pp.621-623
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• 2008

We propose a novel input pointing device called the multimodal mouse (MM) which uses two modalities: face recognition and speech recognition. From an analysis of Microsoft Office workloads, we find that 80% of Microsoft Office Specialist test tasks are compound tasks using both the keyboard and the mouse together. When we use the optical mouse (OM), operation is quick, but it requires a hand exchange delay between the keyboard and the mouse. This takes up a significant amount of the total execution time. The MM operates more slowly than the OM, but it does not consume any hand exchange time. As a result, the MM shows better performance than the OM in many cases.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.19-23
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• 2003

컴퓨터 기술의 발전에 따라서 게임분야 역시 다양한 첨단 기술이 적용되고 있다. 예를 들면 강력한 3D가속 기능을 가진 비디오카드, 5.1 채널 사운드, 포스피드백 지원 입력 장치, 운전대, 적외선 센서, 음성 감지기 등이 게임의 입출력 인터페이스로서 이용되고 있다. 전형적인 방법 이외에도 광학방식이나 휴대용 게임기에 대한 플레이 방식에 대한 연구도 활발하다. 최근에는 비디오 게임기에도 사람의 동작을 인식하여 게임의 입력으로 받아들이는 기술이 상용화되기도 하였다. 본 논문에서는 이런 발전 방향을 고려하여 차세대 게임 인터페이스의 방식으로서 사용될 수 있는 사람의 표정 인식을 통한 인터페이스 구현을 위한 접근 방법들에 대하여 고찰을 하고자 한다. 사람의 표정을 입력으로 사용하는 게임은 심리적인 변화를 게임에 적용시킬 수 있으며, 유아나 장애자들이 게임을 플레이하기 위한 수단으로도 유용하게 사용될 수 있다. 영상을 통한 자동 얼굴 인식 및 분석 기술은 다양한 응용분야에 적용될 수 있는 관계로 많은 연구가 진행되어 왔다. 얼굴 인식은 동영상이나 정지영상과 같은 영상의 형태, 해상도, 조명의 정도 등에 따른 요소에 의하여 인식률이나 인식의 목적이 달라진다. 게임플레이어의 표정인식을 위해서는 얼굴의 정확한 인식 방법을 필요로 하며, 이를 위한 비교적 최근의 연구 동향을 살펴보고자 한다.