• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.316-322
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• 2014

A movie recommendation system is proposed to learn a preference model of a viewer by using multimodal features of a video content and their evoked implicit responses of the viewer in synchronized manner. In this system, facial expression, body posture, and physiological signals are measured to estimate the affective states of the viewer, in accordance with the stimuli consisting of low-level and affective features from video, audio, and text streams. Experimental results show that it is possible to predict arousal response, which is measured by electrodermal activity, of a viewer from auditory and text features in a video stimuli, for estimating interestingness on the video.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.41-43
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• 2022

In order to prevent and block infectious diseases caused by the recent COVID-19 pandemic, non-contact biometric information acquisition and analysis technology is attracting attention. The invasive and attached biometric information acquisition method accurately has the advantage of measuring biometric information, but has a risk of increasing contagious diseases due to the close contact. To solve these problems, the non-contact method of extracting biometric information such as human fingerprints, faces, iris, veins, voice, and signatures with automated devices is increasing in various industries as data processing speed increases and recognition accuracy increases. However, although the accuracy of the non-contact biometric data acquisition technology is improved, the non-contact method is greatly influenced by the surrounding environment of the object to be measured, which is resulting in distortion of measurement information and poor accuracy. In this paper, we propose a context-based bio-signal modeling technique for the interpretation of personalized information (image, signal, etc.) for bio-information analysis. Context-based biometric information modeling techniques present a model that considers contextual and user information in biometric information measurement in order to improve performance. The proposed model analyzes signal information based on the feature probability distribution through context-based signal analysis that can maximize the predicted value probability.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.280-283
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• 2010

척추경 나사못을 이용한 요추 유합술은 가장 보편적으로 사용되는 수술 적 치료 방법이다. 과거 여러 연구들에서 이러한 척추 유합술의 임상적 우수성은 이미 입증 되었으며, 척추경 나사못은 시술 부위의 운동을 완전히 제한함으로써 높은 유합율을 얻을 수 있으나, 상대적으로 인접 분절의 조기 퇴행성 변화의 요인 중 하나로 보고되고 있다. 또한 유합술을 수행 할 때 후방조직의 절제 또한 인접 분절의 퇴행을 초래하는 원인으로 보고되고 있다. 따라서 본 연구에서는 유한요소해석 방법을 이용하여 척추경 나사못 과 후방조직을 절제하는 시술 방법을 비교하여 척추체의 운동범위의 증가량을 계산하였고, 척추경 나사못 모델과 후방조직을 제거한 모델을 개발하여 시술하기 전 정상모델과 비교하였다. 개발된 모델과 정상 모델을 생체 역학적 측면에서 분석하여 인접분절의 조기 퇴행성 변화를 일으키는 가장 큰 원인이 무엇인지 정량적으로 분석하였고, 이를 근거 하여 임상적 효과와 그 이론적 근거를 제시하고자 한다.

• Journal of Biomedical Engineering Research
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• v.22 no.1
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• pp.59-68
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• 2001

유체-고체 상호작용을 고려하여 다양한 복부대동맥류 모델에 대해서 맥동유동 및 구조를 동시에 해석하였다. 동맥류의 확장부 크기와 혈관벽 두께에 따라서 총 여덟 개의 축대칭 동맥류 모델을 선정하였다. 유한체적법 및 압력기반의 유한차분법을 이용하여 유동을 해석하였으며, 유한요소법을 이용하여 구조해석을 수행하였다. 동맥류의 확장부위가 클수록 최대응력은 최대확장부위와 변곡점에 해당하는 동맥류의 입구 및 출구 부분에 집중되었으며, Von Mises 응력은 최대확장부위 뿐만 아니라 동맥류의 근위부와 원위부($\pm$1D)에서도 현저하게 증가하였다. 또한 더욱 확장된 모델일수록 혈관벽은 직경방향의 변위보다 축방향의 변위가 지배적이었으며, 동맥류 원위부보다 근위부에서 큰 축방향 변위를 나타냈다. 동맥류 입구부의 미약한 와류는 한 주기동안 그 크기와 강도를 더해가며 동맥류 원외부로 이동하였고, 동맥류의 내부 유동은 압력차이가 감소하는 기간동안 더 큰 영향을 받았다. 확장정도가 심할수록 동맥류 내부에 더 크고 강한 와류가 관찰되었다. 압력차이가 최소가 된 직후 동맥류의 근위부와 원위부동맥 벽 근처에서의 역방향 유동이 관찰되었다. 대체로 혈관벽 두께가 감소한 모델과 더욱 확장된 모델일수록 벽전달률은 감소하였다. 혈관벽의 탄성에 의하여 압력차이와 벽전달률 사이에 위상차가 존재함이 확인되었다. 유체-고체의 상호작용을 고려한 연구는 다른 심혈관계를 이해하는데도 매우 유익할 것으로 생각된다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2002.05a
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• pp.420-421
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• 2002

• Proceedings of the Korean Society of Life Science Conference
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• 2002.09a
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• pp.61-61
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• 2002

• Radioisotope journal
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• v.16 no.4
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• pp.16-27
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• 2001

• The KIPS Transactions:PartB
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• v.11B no.7 s.96
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• pp.885-892
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• 2004

In this paper, we propose a multi-modal biometrics system based on face and signature recognition system. Here, the face recognition system is designed by fuzzy LDA, and the signature recognition system is implemented with the LDA and segment matching methods. To effectively aggregate two systems, we obtain statistical distribution models based on matching values for genuine and impostor, respectively. And then, the final verification is Performed by the support vector machine. From the various experiments, we find that the proposed method shows high recognition rates comparing with the conventional methods.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.41-53
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• 2016

Today, leading smartphone manufacturers offer biometric technologies such as fingerprints, voice recognition, and iris patterns in their flagship models. These biometric technologies are used for authentication. Biometric authentications are widely used in device security and even in financial transaction. This paper examines cases where a user uses biometric authentication during financial transaction (both online and smartphone banking), and explains biometric for non-repudiation by digital signature. Finally, the paper also explains technical and legal requirements for biometric authentication in the area of financial services.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.2
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• pp.101-110
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• 2002

The purpose of this research is to establish Korean standards of best practice and common criteria for testing and evaluating the performance of biometric recognition systems. First of all, research activities in leading countries such as USA, Great Britain and Germany have been studied and analyzed. Then, the standards of best practice and common criteria are proposed in the aspects of sensors, algorithms, and application systems. The results of this work will be utilized fur test and evaluation of commercial biometric products by KISA and provided to private industries for their own evaluation of products.