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김용중(YongJoong Kim),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
This paper describes a non-contact IR(Infra Red) temperature monitoring system by using deep learning algorithm as an u-Health device to record a person’s thermal heat. The IR camera is used as one of the very important medical device in the field of non-contact vital sign monitoring and u-Health care service. The developed system is composed of an IR board, a deep learning board and interface board. The developed system is experimented under various condition; indoor and outdoor, one person and many persons. And we compared the developed system with the existing thermometers. The result of experiment shows the promising possibilities to estimate a person’s thermal heat as a non-contact method.
김용중(YongJoong Kim),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
This paper propose an active detection system for persons with fever based on algorithms that extracts a sufficient temporal artery region similar to the central temperature of the human body through a deep learning algorithm. The proposed system is under development, and the system to be developed will be very useful in preventing the spread of infection by quickly finding a fever in COVID19, which is currently prevalent around the world, and similar respiratory-related diseases in the future.
발열자 능동 감지 시스템을 위한 얼굴 윤곽 추출 알고리즘
김용중(YongJoong Kim),최병상(ByungSang Choi),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
This paper propose a facial contour extraction algorithm for an active detection system for persons with fever. The proposed algorithm extracts facial contour regions for searching the central temperature of the human body. The proposed algorithm is in developing. The developed algorithm will be adopted to Active Detection System. The system to be developed will be very useful in preventing the spread of infection by quickly finding a fever in COVID-19, which is currently prevalent around the world, and similar to respiratory-related diseases in the future.
김용중(YongJoong Kim),최병상(ByungSang Choi),이기섭(KiSeop Lee),정경권(KyungKwon Jung) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
This paper propose a deep learning algorithm for an active detection system for persons with fever. The proposed algorithms extracts a sufficient temporal artery region similar to the central temperature of the human body. The proposed algorithm is in development. The developed algorithm will be adopted to Active Detection System. The system to be developed will be very useful in preventing the spread of infection by quickly finding a fever in COVID-19, which is currently prevalent around the world, and similar respiratory-related diseases in the future.