• The Transactions of the Korea Information Processing Society
• /
• v.7 no.3
• /
• pp.971-976
• /
• 2000

In this paper a new method for head gesture recognition is proposed. A the first stage, face image data are transformed into low dimensional vectors by principal component analysis (PCA), which utilizes the high correlation between face pose images. The a self organization map(SM) is trained by the transformed face vectors, in such a that the nodes at similar locations respond to similar poses. A sequence of poses which comprises each model gesture goes through PCA and SOM, and the result is stored in the database. At the recognition stage any sequence of frames goes through the PCA and SOM, and the result is compared with the model gesture stored in the database. To improve robustness of classification, probabilistic relaxation labeling(PRL) is used, which utilizes the contextural information imbedded in the adjacent poses.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.6
• /
• pp.251-256
• /
• 2010

In times past, simple numeric password was the commonly used method in security system. For complement this method, the security system using biometric information is appeared. But it usually uses the scheme to utilize portion of biometric information, and has limited application fields. This biometric security system has low reliability because of some problems such as steal, robbery, and so on. Furthermore, it is associated secondary crime as leaking personal information. For this reason new security system using the unique individual biometric is required. In this paper, we propose the security scheme which used face image and iris analysis. While face image processing for specific person identification, it calculate some feature points of face image and iris's features in our proposed scheme. After person identification applying RFID tags in doorway, several feature information is extracted from camera image, and these compare with registered information of our system for final identification.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.26 no.12A
• /
• pp.2067-2073
• /
• 2001

Biometric systems are forms of technology that use unique human physical characteristics to automatically identify a person. They have sensors to pick up some physical characteristics, convert them into digital patterns, and compare them with patterns stored for individual identification. However, lip-print recognition has been less developed than recognition of other human physical attributes such as the fingerprint, voice patterns, retinal at blood vessel patterns, or the face. The lip print recognition by a CCD camera has the merit of being linked with other recognition systems such as the retinal/iris eye and the face. A new method using multi-resolution architecture is proposed to recognize a lip print from the pattern kernels. A set of pattern kernels is a function of some local lip print masks. This function converts the information from a lip print into digital data. Recognition in the multi-resolution system is more reliable than recognition in the single-resolution system. The multi-resolution architecture allows us to reduce the false recognition rate from 15% to 4.7%. This paper shows that a lip print is sufficiently used by the measurements of biometric systems.

• Proceedings of the KAIS Fall Conference
• /
• 2010.05b
• /
• pp.1021-1024
• /
• 2010

형상의학은 음양오행설과 수천 년 동안 내려온 임상적 통계에 뿌리를 두고 있는 고유의 전통의학이다. 비록, 과학적 원리는 명확하게 밝혀지지 않았지만 독자적인 체계에 따라 사람 형상을 분류하고 이에 따라 질환을 진단하는 체계를 구성하고 있다. 본 논문에서는 이와 같은 형상의학을 기반으로 코의 형태에 따른 위장질환과의 상관관계를 분석하였다. 이를 위해 얼굴 영상에서 코의 형태를 추출하고 코의 크고 작음, 휨 등에 따라 위장질환과의 관계를 분석하는 실험을 수행하였다. 이를 기반으로 코의 형태와 위장질환과의 객관화, 시각화, 정량화된 출력 지표를 설계하였으며 실험 결과에 대한 유의성을 입증하였다.

• Proceedings of the KAIS Fall Conference
• /
• 2008.05a
• /
• pp.125-128
• /
• 2008

사상의학은 개인별 체질의 분류에 따른 맞춤형 의학으로 우리나라 고유의 독특한 전통 의학이다. 이와 같은 사상의학에서 가장 중요하게 여겨지는 것이 사상체질의 정확한 분류이다. 따라서 사상체질 분류에 대한 객관적 요소의 확보 및 진단 지표 마련이 시급하게 해결되어야 할 과제이다. 이를 위해 본 논문에서는 사상체질 분류의 객관화, 정량화 및 시각화를 위해 얼굴 영상 신호와 음성 신호를 분석하여 결과값을 추출하고 체질별 집단군간의 차이점을 비교하여 사상체질 분류 시스템을 구현하고자 한다. 특히 영상 및 음성 신호는 성별, 연령별, 지역별 등의 구분에 따라 달라지기 때문에 본 논문에서는 40에서 50대 사이의 장년 여성을 대상으로 서울지역 거주자에 한해 사상체질 집단군을 구성하고 이들의 영상 및 음성 신호를 추출하여 체질간 비교, 분석을 수행하고자 한다. 최종적으로 실험을 통한 연구 결과의 유의성을 입증하고자 한다.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.2
• /
• pp.123-132
• /
• 2019

This paper analyzes the performances of actor Song Kang-Ho in the background of interdisciplinary and integrated film acting, using performance rather than acting as a general term. If the act is a concept limited to acting training or acting skills, performance is a broad concept that includes expressions, movements, and emotions. The performance on the screen can be explained in the context of film and can be extended to the social attitude of acting. In addition, I used the term screen in terms of representation rather than film referring to medium. Song Kang-Ho expressed the performances of various characters in more than 30 films. Although his facial expressions, gestures, and voices suitable for individual characters in various genres are represented in various ways, personality inherent in the actor Song Kang-Ho integrates persona with character. What drives it is the social attitude of screen performance. As a sign, acting is an ideological construct and foregrounds a character who describes a certain social and historical moment. Song Gang-Ho as actor, persona and character, who asserts the popularity, speaks to society and makes discourse. His comic performance is always confronting the tragedy of life, his face is the spirit of the times, and it expands into social meaning. The face of the close-up does not laugh at all, the gesture symbolized by the curved rear view is exaggerated disorderedly and disturbingly, and the voice using dialect accent does not follow the standard of the vocal.

• Journal of Christian Education in Korea
• /
• v.72
• /
• pp.147-164
• /
• 2022

Stories have been studied as an important educational method in Christian education. In recent discussions on religious education, stories are positively evaluated in terms of stimulating children's unique fantasy, as opposed to visual media, and in terms of face-to-face direct communication. Our most profound and passionate orientation to the world is shaped by stories. This is because stories move us by moving us and shape our unconscious to act accordingly. However, the subjects that supply stories to children now are various mass media and consumer culture. The story it tells instills a secular worldview and makes us dream of a world completely different from the kingdom of God. Our children need a story to imagine the kingdom of God. This paper focuses on story-style sermons in children's worship and tries to deal with the Christian educational implications of story-style sermons. To this end, first of all, I would like to treat the Bible as a story according to the approximate concept of the story and the position of literary criticism who approached the Bible as a story. The second will deal with narrative preaching. First, we will look at narrative sermons for adults, and then deal with narrative sermons for children. The two narrative sermons were treated separately in the sense of considering the characteristics of children rather than being separated. Lastly, I would like to draw out the Christian educational implications of narrative preaching.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.10
• /
• pp.1-6
• /
• 2019

As mobile technologies such as Internet of Things (IoT)-based smart homes and financial technologies (FinTech) are developed, authentication by smart devices is used everywhere. As a result, presence-based biometric authentication using smart devices has become a new mainstream in knowledge-based authentication methods like the existing passwords. The electrocardiogram (ECG) is less prone to forgery, and high-level personal identification is its unique feature from among various biometric authentication methods, such as the pulse, fingerprints, the face, and the iris. Biometric authentication using an ECG is receiving a great deal of attention due to its uses in healthcare and FinTech. In this study, we implemented an ECG authentication system that allows users to easily measure and authenticate their ECG waveforms using a miniaturized wearable device, rather than a large and expensive measurement device. The implemented ECG authentication system identifies ECG features through P-Q-R-S-T feature point identification, and was user-certified under the proposed authentication protocols. Finally, assessment of measurements in a majority of adult males showed a relatively low false acceptance rate of 1.73%, and a low false rejection rate of 4.14%, in a stable normal state. In a high-activity state, the false acceptance rate was 13.72%, and the false rejection rate was 21.68%. In a high-heart rate state, the false acceptance rate was 10.48%, and the false rejection rate was 11.21%.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.6
• /
• pp.461-469
• /
• 2020

In this paper, we propose a PCA-based feature feedback method for extracting important areas of handwritten numeric data sets and face data sets. A PCA-based feature feedback method is proposed by extending the previous LDA-based feature feedback method. In the proposed method, the data is reduced to important feature dimensions by applying the PCA technique, one of the dimension reduction machine learning algorithms. Through the weights derived during the dimensional reduction process, the important points of data in each reduced dimensional axis are identified. Each dimension axis has a different weight in the total data according to the size of the eigenvalue of the axis. Accordingly, a weight proportional to the size of the eigenvalues of each dimension axis is given, and an operation process is performed to add important points of data in each dimension axis. The critical area of the data is calculated by applying a threshold to the data obtained through the calculation process. After that, induces reverse mapping to the original data in the important area of the derived data, and selects the important area in the original data space. The results of the experiment on the MNIST dataset are checked, and the effectiveness and possibility of the pattern recognition method based on PCA-based feature feedback are verified by comparing the results with the existing LDA-based feature feedback method.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.9 no.5
• /
• pp.1210-1217
• /
• 2008

Sasang medicine is our country's unique traditional medicine based on the classification of individual physical constitution. In the Sasang medicine, what is considered the most important task is to categorize Sasang constitution exactly. Therefore, security of objective elements and diagnosis index is a problem awaiting solution in Sasang constitution classification. To this the paper abstracted result value from objectification, visualization, a fixed quantity of Sasang constitution to analyze face image signals and voice signals. And, comparing the differences constitution would like to develop system classification of Sasang constitution. Specially, image and voice signals are different because of gender, age, region so it composed Sasang constitution group to 40-50 years women in Seoul. To extract of these image and voice signals wanted to perform comparison, analysis in constitution. Finally, it would like to prove a significance of research result through experiment.