• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.87-95
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• 2022

Recently, with the development of smart technology, in medical information platform, patient's biometric data is measured in real time and accumulated into database, and it is possible to determine the patient's emergency situations. Medical staff can easily access patient information after simple authentication using a mobile terminal. However, in accessing medical information using the mobile terminal, it is necessary to study authentication in consideration of the patient situations and mobile terminal. In this paper, we studied on medical information platforms based on big data processing and edge computing for supporting automatic authentication in emergency situations. The automatic authentication system that we had studied is an authentication system that simultaneously performs user authentication and mobile terminal authentication in emergency situations, and grants upper-level access rights to certified medical staff and mobile terminal. Big data processing and analysis techniques were applied to the proposed platform in order to determine emergency situations in consideration of patient conditions such as high blood pressure and diabetes. To quickly determine the patient's emergency situations, edge computing was placed in front of the medical information server so that the edge computing determine patient's situations instead of the medical information server. The medical information server derived emergency situation decision values using the input patient's information and accumulated biometric data, and transmit them to the edge computing to determine patient-customized emergency situation. In conclusion, the proposed medical information platform considers the patient's conditions and determine quick emergency situations through big data processing and edge computing, and enables rapid authentication in emergency situations through automatic authentication, and protects patient's information by granting access rights according to the patient situations and the role of the medical staff.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.50-59
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• 2006

This paper proposes an automatic video monitoring system and its application to emergency detection by analyzing human behavior using neural network. The object area is identified by subtracting the statistically constructed background image from the input image. The identified object area then is transformed to the feature vector. Neural network has been adapted for analyzing the human behavior using the feature vector, and is designed to classify the behavior in rather simple numerical calculation. The system proposed in this paper is able to classify the three human behavior: stand, faint, and squat. Experiment results shows that the proposed algorithm is very efficient and useful in detecting the emergency situation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.101-107
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• 2009

In this paper, we describe a method of detecting emergency situation using images from surveillance cameras and propose a mobile robot tracking system for detailed examination of that situation. We are able to track a few persons and recognize their actions by an analyzing image sequences acquired from a fixed camera on all sides of buildings. When emergency situation is detected, a mobile robot moves and closely examines the place where the emergency is occurred. In order to recognize actions of a few persons using a sequence of images from surveillance cameras images, we need to track and manage a list of the regions which are regarded as human appearances. Interest regions are segmented from the background using MOG(Mixture of Gaussian) model and continuously tracked using appearance model in a single image. Then we construct a MHI(Motion History Image) for a tracked person using silhouette information of region blobs and model actions. Emergency situation is finally detected by applying these information to neural network. And we also implement mobile robot tracking technology using the distance between the person and a mobile robot.

• The KIPS Transactions:PartB
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• v.14B no.6
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• pp.401-406
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• 2007

This study discusses the development of a u-Health care system that can detect quickly and cope actively with emergent situations of chronic disease patients who lead everyday life. If a patient's emergent situation is detected by personal health care host(PHCH), which is composed of acceleration and vibration sensors, GPS, and CDMA communication module, a text message on the patient's current location is transmitted to the hospital and the guardian's mobile terminal so that they can cope with the situation immediately. Especially, the system analyzes data from sensors by using neural network and determines emergent situations such as syncope and convulsion promptly. The exact location of patients can also be found in the electronic map by using GPS information. The experiments show that this system is very effective to find emergencies promptly for chronic disease patients who cannot take care of themselves and it is expected to save many lives.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.65-70
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• 2008

현재 응급 의료 시스템에서는 환자의 소재를 파악하기 힘들 뿐만 아니라, 환자의 이송과정에서도 환자를 치료할 수 없는 병원에 이송하는 등의 문제점을 지닌다. 또한 이송을 위한 대기중인 구급차가 없거나, 환자의 병명에 따른 시한을 지키지 못함으로써 환자를 위급한 상태까지 이르게 하는 경우도 존재한다. 본 논문은 이러한 문제를 해결하기 위해 자동화된 중앙 관리 체계를 기반으로 한 u-EMS의 시공간 환경과 행위를 명세 및 분석하기 위한 CARDMI기반의 HAP 스케줄러를 제안한다. 이를 통해 응급 의료 시스템에서 발생할 수 있는 문제점을 u-EMS를 통해 환자를 적시적소에 EMS서비스를 제공할 수 있도록 스케줄링 하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.193-194
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• 2012

현재 자연재해 증가와 응급 상황 발생이 빈번해짐에 따라 정부에서 소방법을 강화하였다. 따라서 대부분의 빌딩에서는 응급 상황이나 자연 재해 발생이 발생할 경우, 신속한 대피를 위한 안내 방송을 할 수 있는 전관 방송 시스템 설비를 반드시 갖추어야 한다. 이에 본 연구에서는 빌딩에 설비되어 있는 각종 다양한 센서들로부터 센싱된 정보를 네트워크를 통해 전달 받아 이들을 실시간으로 분석하여 빌딩 상황에 맞는 안내 방송과 응급 상황시 대피를 위한 안내 방송뿐만 아니라 빌딩에 있는 각 호수별로 ID를 부여하고, 이를 통해 방송이 필요한 장소에만 개별 방송을 할 수 있는 디지털 전관 방송 시스템을 개발하였다.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.821-827
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• 2007

본 논문에서는 만성질환을 갖고 있으면서도 일상생활을 하고 있는 만성질환 환자의 응급상황에 대비할 수 있는 u-Health 시스템 구축에 대하여 논한다. USN과 전자청진기, GPS, CDMA 그리고 RFID로 구성된 PHC(Personal Health Care) 장치에 의해 환자의 위급상황이 감지되면 위치정보를 포함한 문자메시지를 병원과 보호자의 모바일 단말기로 전송하여 즉각 대처할 수 있도록 한다. 특히 유비쿼터스 센서로 구성된 기울기/가속도 센서와 진동센서로 부터 수신되는 신호패턴을 분석하여 기절현상 또는 발작 증상과 같은 응급상황 여부를 판단한다. 이 시스템을 항상 주의가 필요한 만성질환자에게 적용시킴으로써 응급 상황에 신속히 대처하여 귀중한 생명을 구할 수 있을 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.188-191
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• 2019

최근 노인인구가 증가하고, 독거노인의 비율도 빠르게 증가하는 추세에 있다. 따라서 몸에 갑작스러운 이상 증상이 발현되거나 건강상 위험 상태에 이르는 경우 따로 돌보는 사람이 없더라도 이를 인지하고 보호받을 수 있는 기기나 장비가 필요하다. 본 논문은 사람의 생체 신호를 이용하여 응급상황을 판단하고, 이를 신속히 지인 또는 다른 사람에게 알리는 응급상황 알림 시스템 설계에 관한 내용이다. 본 시스템은 체온과 심박수를 실시간으로 측정하는 센서들과 실시간 위치추적이 가능한 GPS장치, 측정 데이터를 전송 및 저장하는 데이터 서버 및 사용자의 스마트폰에 설치될 밴드 전용 어플리케이션으로 구성된다. 이를 통해 독거노인뿐만 아니라 모든 1인 가구를 대상으로 갑작스러운 신체 이상증상 발생 시에도 신속히 대처가 가능한 기기 및 장비로서 널리 사용된다면 보건 품질의 향상이 기대된다.

• Smart Media Journal
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• v.4 no.3
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• pp.24-30
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• 2015

For suddenly encountered emergencies, most people embarrass, and can not often deliver the correct message when they report. Recently in the commonplace smart software environment, it is important that they can transmit the correct individual emergency situation efficiently and can receive the best service, and can provide the efficient emergency medical services to real-time around the other emergencies. In this paper, we design a standard protocol for the rapid and accurate technology for transmitting XML-based structured messages to provide an efficient emergency medical services, and offers a emergency medical services protocol to make them available more efficiently.

• Journal of the Korean Society for Railway
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• v.14 no.4
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• pp.341-347
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• 2011

In this paper, studied was the application of IT and sensor technology to trains in order to provide safety and convenience for passengers. One of applications is Lavatory Emergency Detection System in a train. Since a lavatory in a train is securely separated space, it is hard to notice an emergency inside of it unless a user sends a request for help. A system that can detect an emergency by using sensors was presented. System requirements were analyzed to design and implement a system. Prototype of the system was made. Then, tests in a laboratory were carried out based on a set of test plan to verify the system functions. Performance was turned out to be very successful. The system developed may have a chance to be installed according to the requirements of specifications of the train to be ordered.