• Archives of Craniofacial Surgery
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• v.10 no.2
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• pp.103-108
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• 2009

Purpose: Although there are many reports on the development of paranasal sinuses, few studies were performed with respect to the frontal sinus with 3D CT, especially in Korean children. In this study, we evaluated the normal development of frontal sinus in Korean children with 3D CT imaging. Methods: A total of 301 patients under the age of 20 were reviewed retrospectively. Maximal AP (anteroposterior) length, height and width were measured with the aid of computer device. The volume of frontal sinus was also evaluated. Results: At the age of more than 4, the pneumatization of frontal sinus was detected. Frontal sinus developed continuously and was observed in almost every children at the age of more than 17. The AP length, height, width and volume of frontal sinus were enlarged continuously until the age of 20. And the maximal growth of frontal sinus was observed at puberty. The width and volume of frontal sinus showed high correlation coefficient (r=0.8) relative to height or AP distance. Conclusion: The results of this study may be helpful in the comprehension of normal development of frontal sinus in Korean children.

• Archives of Craniofacial Surgery
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• v.14 no.2
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• pp.89-95
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• 2013

Background: If patients have a better understanding about their problem and treatment, compliance and satisfaction with treatment will increase. For this purpose, simple repeated explanations regarding a patients' problem and treatment are essential. Critical pathway (CP) has a very wide range in medicine with the exception of the plastic surgery field. The authors developed a CP for facial bone fractures and implemented it clinically. The aim of this study was to evaluate the effectiveness of the CP on the degree of recognition of the problem along with patient satisfaction with the treatment process. Methods: From May 2011 to October 2011, a total of 82 patients suffering from facial bone fractures were studied. The CP for facial bone fractures was developed by plastic surgeons, residents and nurses. Subsequently, the authors investigated the degree of recognition of the disease and patient satisfaction with the treatment through the use of a questionnaire. The authors compared the score of the questionnaires before and after implementation of the clinical pathway. Results: The degree of the recognition of the problem changed from 3.1 to 4.2 (p<0.001). Further, the degree of satisfaction with the treatment process changed from 3.6 to 4.3 (p<0.05). Overall, there was a two point increase in improvement. Conclusion: Implementation of the CP for facial bone fractures was effective in improving the degree of recognition and satisfaction. The authors expect that hereafter, the CP for facial bone fractures will be implemented actively in the plastic surgery field.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.70-75
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• 2016

Nowadays, there are many research for recognizing face of people using the machine vision. the machine vision is classification and analysis technology using machine that has sight such as human eyes. In this paper, we propose algorithm for classifying human face using this machine vision system. This algorithm consist of Convolutional Neural Network and cascade face detector. And using this algorithm, we classified the face of subjects. For training the face classification algorithm, 2,000, 3,000, and 4,000 images of each subject are used. Training iteration of Convolutional Neural Network had 10 and 20. Then we classified the images. In this paper, about 6,000 images was classified for effectiveness. And we implement the system that can classify the face of subjects in realtime using USB camera.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.132-142
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• 2021

The purpose of this study is to present an effective methodology that can measure heart rate, heart rate variability, oxygen saturation, respiration rate, mental stress level, and blood pressure using mobile front camera that can be accessed most in real life. Face recognition was performed in real-time using Blaze Face to acquire facial image data, and the forehead was designated as ROI (Region Of Interest) using feature points of the eyes, nose, and mouth, and ears. Representative values for each channel of the ROI were generated and aligned on the time axis to measure vital signs. The vital signs measurement method was based on Fourier transform, and noise was removed and filtered according to the desired vital signs to increase the accuracy of the measurement. To verify the results, vital signs measured using facial image data were compared with pulse oximeter contact sensor, and TI non-contact sensor. As a result of this work, the possibility of extracting a total of six vital signs (heart rate, heart rate variability, oxygen saturation, respiratory rate, stress, and blood pressure) was confirmed through facial images.

• Journal of dental hygiene science
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• v.2 no.2
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• pp.105-113
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• 2002

This study was aimed to investigate the practice on the infection control and dental waste disposal in dental clinic. The data used in this study had been collected in 100 dental clinics located in Seoul city from August to October, 2001. It was shown that examination instruments, oral surgery instruments, and periodontal instruments were almost sterilization in dental clinic. It was high in the recognition of individual protection but it was low in the degree of practice. Therefore, the practice in infection control is very important to dental team for safety of patients and operators.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.65-72
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• 2020

In this paper, a USB module with fingerprint recognition was designed as a distributed node of blockchain on distributed ID (DID, distributed ID) for user identification. This biometric-linked fingerprint recognition device was verified for the real-time authentication process of authentication transaction with FIDO(Fast IDentity Online) server. Blockchain DID-based services were proposed like as a method of individual TV rating survey, and recommending service for customized shopping channels, and crypto-currency, too. This DID based remote service can be improved by recognizing of channel-changing information through personal identification. The proposed information of production purchase can be shared by blockchain. And customized service can be provided for the utilization of purchase history in shoppingmall using distributed ID. As a result, this blockchain node-device and Samsung S10 Key-srore with FIDO service can be certified for additional transactions through various biometric authentication like fingerprint, and face recognition.

• Convergence Security Journal
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• v.22 no.1
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• pp.29-38
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• 2022

The importance of prevention of epidemics is increasing due to the serious spread of infectious diseases. For prevention of epidemics, we need to focus on the non-contact industry. Therefore, in this paper, a face recognition door lock that controls access through non-contact is designed and developed. First very simple features are combined to find objects and face recognition is performed using Haar-based cascade algorithm. Then the texture of the image is binarized to find features using LBPH. An non-contact door lock system which composed of Raspberry PI 3B+ board, an ultrasonic sensor, a camera module, a motor, etc. are suggested. To verify actual performance and ascertain the impact of light sources, various experiment were conducted. As experimental results, the maximum value of the recognition rate was about 85.7%.

• Archives of Craniofacial Surgery
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• v.13 no.2
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• pp.85-94
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• 2012

The world's first face transplantation was performed in France, in 2005. Since then, 21 cases of face transplantation have been performed. Face transplantation is one of the most prominent part of composite tissue allotransplantation (CTA) along with hand transplantation. Since these fields are not deal with life-saving organs, there are many arguments about immunosuppression therapy. Recent paradigm of face transplantation shows that surgical ranges are expanded from partial face transplantation to full face transplantation. Most immunosuppression protocols are triple therapy, which consists of tacrolimus (FK-506), mycophenolate mofetil and prednisolone. Anatomical researches, immunosuppression, and immunotolerance take great parts in the researches of CTA. The medical fields directly related to face transplantation are microsurgery, immunology, and transplantation. Nowadays, each field is performed widely. Therefore people, even medical teams think face transplantation could be easily realized, sooner or later. But there are lots of things that should be prepared for not only practice and immunosuppression therapy but also for the cooperation with relevant fields. That's the reason why only 21 cases of face transplantation have been done, while more than 70 cases of hand transplantation have been done in the past years. Especially in Korea, brain death patients are not enough even for organ transplantation and furthermore there are some troubles in taking part in the society of transplantation. Face transplantation has lots of problems concerning variable medical fields, administration, society, ethics, and laws. Therefore, for the realization of face transplantation in Korea, not only medical skills but also political powers are needed.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.501-503
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• 2018

본 논문은 개인에 맞는 외출 시 필요한 정보를 문에 출력하여 외출 준비를 도와주는 스마트 도어 아이디오를 제안한다. 스마트 도어를 활성화 시켜 내장된 웹 카메라로 촬영된 사진을 이용하여 얼굴인식을 수행하고 수행한 결과로 개안 아이디를 통해 데이터베이스를 조작한다. 데이터베이스에 개인 준비물 데이터는 모바일 앱에서는 도어락을 제어하는 추가적인 기능도 수행한다. 개인 중비물외에도 개인 일정, 당일 날씨 및 교통 정보를 스마트 도어 LCD에 출력과 동시에 음성으로 알려준다. 본 논문에서 제시하는 스마트 도어는 LCD에 정보 출력뿐만 아니라 half-mirror와 함께 설계되어 전신 거울 기능도 포함된다. 스마트 도어는 어디에서 사용되는 문에 유용한 기능을 추가하여 공간 활용에 용이하고 필요한 소지품을 잊지 않고 챙길 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.491-492
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• 2024

맞벌이 가정이 증가함에 따라 영유아, 장애인, 노인 등의 사회적 약자를 낮시간 동안 보육/보호하는 데이케어 센터의 수요가 증가하고 있다. 데이케어 센터는 센터 경쟁력 확보 및 보호자 만족도 제고를 위해서 피보호자의 일상 사진을 제공하는 곳이 대부분이다. 하지만 데이케어 센터의 직원이 다수의 사람에 대한 사진을 촬영 및 선별해서 메시지를 전송하는 일은 데이케어 센터 본연의 업무를 방해할 수 있다. 따라서 본 논문에서는 사진 선별을 업무 부담을 완화시키는데 도움을 줄 수 있는 얼굴 특징 기반 사진 자동분류하는 시스템을 개발한다. 제안한 방법에서는 얼굴 특징 추출 기법과 클러스터링 알고리즘인 DBSCAN을 이용하여 얼굴기준 사진 분류시스템을 설계하엿다. 특히, OpenCV와 face recognition 라이브러리를 이용하여 카메라로 촬영된 사진 속의 얼굴 객체를 인식하고 얼굴사진을 저정한 후 얼굴의 특징을 추출한다.