• 전기학회논문지
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• 제66권9호
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• pp.1402-1408
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• 2017

Recently, services for personal biometric data analysis based on real-time monitoring systems has been increasing and many of them have focused on recognition of emotions. In this paper, we propose a classification model to classify anxiety emotion using biometric data actually collected from people. We propose to deploy the support vector machine to build a classification model. In order to improve the classification accuracy, we propose two data pre-processing procedures, which are normalization and data deletion. The proposed algorithms are actually implemented based on Real-time Traffic Flow Measurement structure, which consists of data collection module, data preprocessing module, and creating classification model module. Our experiment results show that the proposed classification model can infers anxiety emotions of people with the accuracy of 65.18%. Moreover, the proposed model with the proposed pre-processing techniques shows the improved accuracy, which is 78.77%. Therefore, we can conclude that the proposed classification model based on the pre-processing process can improve the classification accuracy with lower computation complexity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권7호
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• pp.2420-2433
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• 2014

Fusing the scores of multibiometrics is a very promising approach to improve the overall system's accuracy and the verification performance. In recent years, there are several approaches towards studying score level fusion of several biometric systems. However, most of them does not consider the genuine and imposter score distributions and result in a higher equal error rate usually. In this paper, a novel score level fusion approach of different biometric systems (dual iris, thermal and visible face traits) based on $Acz{\acute{e}}l$-Alsina triangular norm is proposed. It achieves higher identification performance as well as acquires a closer genuine distance and larger imposter distance. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand database with noisy samples and the NVIE face database with visible and thermal face images. The rigorous results suggest that significant performance improvement can be achieved after the implementation of multibiometrics. The comparative experiments also ascertain that the proposed fusion approach outperforms the state-of-art verification performance.

• 디지털융복합연구
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• 제11권3호
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• pp.279-284
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• 2013

IT 기술에 의료기술이 접목되면서 유헬스케어 서비스에 적용한 체내삽입장치는 환자의 민감한 생체정보를 제3자에게 쉽게 유출되어 환자의 프라이버시 침해되지 않도록 무선 액세스 네트워크 구간에 높은 데이터율과 이동성을 지원하는 강한 보안이 필요하다. 본 논문에서는 이동성을 가지는 환자가 체내삽입장치내 환자의 생체정보를 무선 액세스 네트워크 구간에서 제3자에게 불법적으로 노출되지 않도록 무선 액세스 네트워크에 WiMAX 네트워크을 구축하여 이동 환자의 생체정보가 안전하게 송 수신될 수 있도록 테스트 베드를 구축하여 WiMAX 네트워크의 보안 성능 측정 및 평가를 수행한다. 특히, 본 논문에서는 WiMAX 보안 compliance, WiMAX MAC 상의 IPSec, MAC 계층에서 ECDH 수행 등에서 데이터 보안, MAC 제어 메시지 보안, 핸드오버 연결 지연, 프레임 손실 및 대역폭 등을 비교평가한다.

• 대한수의학회지
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• 제14권2호
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• pp.185-189
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• 1974

Although considerable research has been done on the blood chemistry of domestic animals, little work has been made of the changes associated with age. Moreover, the records about physiology of the goat were not much available in Korea, and a comprehensive survey of the blood chemical values of the Korean native goat has not been made. The authors intended to biometric study on the hardness of bone of race horse and Jeju horse in Korea. The measurement of hardness of bone were performed in 272 race horses (Thoroughbred 91, Anglo-Arab 107, Arab 74) and in 109 Jeju horses by the caliper by Toryba's method. Some interesting facts obtained through this study were as follows: 1. There was not significant difference of bone hardness between male and female. The average of bone hardness by the Toryba's meteod were $23.07{\pm}1.01$ in race horse and $19.44{\pm}1.84$ in Jeju horse. 2. The grade of bone hardness of race horse were higher than those of Jeju horse(P<0.001). 3. The correlation coefficient between age and grade of bone hardness were r= +0.344 in Jeju horse, theme were statistically significant (P<0.01) and the regression equation was Y=0.29x+18.497.

• 대한의용생체공학회:의공학회지
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• 제26권6호
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• pp.373-381
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• 2005

The respiratory and heart beat signals are the fundamental physiological signals for sleep monitoring in the home. Using the air mattress sensor system, the respiration and heart beat movements can be measured without any harness or sensor on the subject's body which makes long term measurement difficult and troublesome. The differential measurement technique between two air cells is adopted to enhance the sensitivity. The concept of the balancing tube between two air cells is suggested to increase the robustness against postural changes during the measurement period. With this balancing tube, the meaningful frequency range could be selected by the pneumatic filter method. The mathematical model for the air mattress and balancing tube was suggested and the validation experiments were performed for step and sinusoidal input. The results show that the balancing tube can eliminate the low frequency component between two cells effectively. This technique was applied to measure the respiration and heart beat on the bed, which shows the potential applications for sleep monitoring device in home. With the analysis of the waveform, respiration intervals and heart beat intervals were calculated and compared with the signal from conventional methods. The results show that the measurement from air mattress with balancing tube can be used for monitoring respiration and heart beat in various situations.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.37-39
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• 2022

코로나19가 전 세계를 강타하면서 2021년 무관중 도쿄올림픽을 개최했다. 일부 방송사는 TV로 현장의 생생함을 전하고자 영상처리 기반 비접촉식 측정을 활용하여 실시간으로 선수들의 심박수를 보여주었다. 그러나 비접촉식 모델은 혈액순환에 따른 선수들의 얼굴 피부색 변화를 파라미터로 이용하기 때문에 자연광이나 안경 등과 같은 방해 요소로 인해 부정확할 가능성이 있다. 따라서 본 논문에서는 비접촉식 심박수 측정 모델과 접촉식 심박수 측정 모델을 방해 요소 유무에 따른 환경에서 실험하고 그에 따른 정확도를 분석한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.489-492
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• 2005

Even though the blood pressure is one of the most widely used index for the healthcare monitoring of hypertensive and normotensive persons, there is no non-intrusive measurement method which is commercialized until now. Pulse Arrival Time (PAT) is known that it has close relation with the systolic blood pressure (SBP) and arterial stiffness. In this study, SBP estimation methods by non-intrusive measurement of PAT are suggested. For the unconstrained measurement of PAT, the first method used the electrically non contact electrocardiogram (ENC-ECG) technique and the reflective type of Photoplethysmography (PPG) sensor on the computer mouse. In the second method, ENC-ECG and the air pressure sensor in the seat cushion on a chair were measured. The third method used ECG electrodes and PPG sensors on the toilet seat cover. The validation and regression analysis of the relationship of PAT and SBP are summarized. These methods have considerable errors to be used for all people. But these can be applied for each subject after the parameter customization within acceptable error. So, it is feasible for suggested methods to be used for monitoring of SBP in daily life in non-intrusive way when there is personal identification system of each subject.

• 한국산학기술학회논문지
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• 제20권10호
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• pp.1-6
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• 2019

IoT 기반의 스마트홈, 핀테크 등의 모바일 기술이 발달하면서 스마트 디바이스를 이용한 사용자 인증이 일상생활에서 널리 사용되고 있다. 이에 따라 기존의 비밀번호와 같은 지식 기반의 인증 방법에서 스마트 디바이스를 이용한 존재 기반의 생체인증이 새로운 주류가 되었고, 맥파, 지문, 얼굴, 홍채 등 다양한 생체인증 중에 신체적 특성상 위변조 가능성이 낮고 고유한 특징으로 개인 식별성이 높은 ECG(Electrocardiogram, 이하 ECG)를 이용한 생체인증이 헬스케어 및 핀테크와 맞물려 높은 관심을 받고 있다. 본 연구에서는 기존의 고가이면서 부피가 커 휴대가 불가능한 ECG 측정디바이스가 아닌 소형화된 웨어러블 디바이스를 이용하여 손쉽게 사용자의 ECG 파형을 측정해 사용자 인증을 할 수 있는 ECG 인증 시스템을 구현하였다. 구현된 ECG 인증 시스템은 PQRST 고유 값 식별을 통해 ECG 특징점을 판별하고 이를 이용한 제안된 인증 프로토콜로 사용자 인증이 가능하였다. 최종적으로 성인 남성 다수를 통한 측정 평가를 통해 안정적인 정지 상태에서는 1.73%의 비교적 낮은 타인수락률과 4.14%의 본인거부율을 보였고 움직임이 있는 상태에서는 13.72%의 타인수락률과 21.68%의 높은 본인거부율을 보였다. 활동으로 인해 심박수가 상승한 정지 상태에서는 10.48%의 타인수락률과 11.21%의 본인거부율을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.493-496
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• 2005

For home healthcare, the unconstrained measurement of physiological signal is highly required to avoid the inconvenience of users. The recording and analysis of the fundamental parameters during sleep like respiration and heart beat provide valuable information on his/her healthcare. Using the air mattress sensor system, the respiration and heart beat movements can be measured without any harness or sensor on the subject's body. The differential measurement technique between two air cells is adopted to enhance the sensitivity. The balancing tube between two air cells is used to increase the robustness against postural changes during the measurement period. The meaningful frequency range could be selected by the pneumatic filter with balancing tube. ECG (Electrocardiography) and respiration sensor (plethysmography) were measured for comparison with the signal from air mattress. To extract the heart beat information from air pressure sensor, digital signal processing technique was used. The accuracy for breathing interval and heart beat monitoring was acceptable. It shows the potentials of air mattress sensor system to be the unconstrained home sleep monitoring system.

• 대한의용생체공학회:의공학회지
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• 제27권3호
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• pp.83-88
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• 2006

A new method of measuring pulse arrival time (PAT), which is usually used for the estimation of systolic blood pressure, in an unconstrained manner using a chair, is proposed. The capacitive-coupled ECG (CC-ECG) measurement system and the air cushion with balancing tubes system were used for unconstrained PAT measurement. Firstly, the correlation between the standard PAT (S-PAT) from the photoplethysmography (PPG) and the PAT measured in an unconstrained manner (U-PAT) was evaluated. It was observed that U-PAT, which is the time delay from the R-peak of ECG to the steepest decent point of air cushion pressure wave, is significantly correlated with the S-PAT. Secondly, systolic blood pressure (SBP) measured by the radial tonometer is compared to the U-PAT. The ten-beat averaged U-PAT removed respiration effects and demonstrated a high intra-subject correlation with SBP in all participants. Finally, the tonometry SBP was estimated from these U-PAT values for one participant intermittently during half a day.