• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.344-345
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• 2011

본 논문에서는 모니터 상단의 일반 웹 카메라를 이용하여 사용자의 올바른 자세와 올바르지 않은 자세를 추정하고 사용자가 스스로 교정을 유도할 수 있는 새로운 개념의 어플리케이션을 소개한다. 교정의자나 허리 보호대 등의 도구가 없이 카메라 하나로 사용자가 자기 자세에 대한 인식을 할 수 있도록 제안하는 시스템이다. 정면 시점에서 바라보는 사용자의 자세는 얼굴과 어깨의 특징으로 판단하고, 초기화한 올바른 자세와 비교하여 사용자에게 경고 알림을 해주는 과정으로 진행된다. 주기적으로 자세를 확인하는 시스템을 통하여 사용자가 컴퓨터를 하는 자세에 대해 자각시킴으로써 올바른 자세를 가지도록 유도할 수 있음을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.145-150
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• 2011

This study was developed the posture balance system of multi-parameter for moving body after and before exercising. Body transition meaned a head moving and upper body moving. This system has catched a signal for physical condition of body data such as a data acquisition system, data signal processing and feedback system. There were checked a parameter that measured vision, vestibular, somatosensory, CNS. This system was evaluated a data through the stability. The posture balance system can be used to support assessment for body moving in exercising situation. It was expected to monitor a physical parameter for health management system.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.1101-1103
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• 2020

시스템은 VR과 Tracker를 이용하여 사용자의 자세를 실시간으로 인식하고 특정한 자세를 유도하여 바른 자세를 취하는지 확인하는 자세교정 시스템이다. VR을 이용하여 시간과 공간에 구애받지 않고 전문가의 도움을 받는 것과 유사한 효과의 자세교정을 수행할 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.6
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• pp.1231-1236
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• 2017

In this study, we developed a system that can change position to improve obstructive sleep apnea. Blocking of the breathing airway caused by obstruction of the apnea, lateral position is provided by the airway to improve the apnea. We used a pressure sensor (FSR402) in the form of an array to determine the position of patient. The air cylinder was controlled to raise and lower the bed. As a result of calculating the pressure difference between the supine position and the lateral position, it was $0.41{\pm}0.30$ and $1.09{\pm}0.73$. In other words, when the patient is lateral position, the difference between the sensor values on the right and left side is large. Therefore, it is confirmed that the system can maintain airway to breath for improvement of obstructive sleep.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.986-987
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• 2013

본 연구에서는 사용자 스스로가 바른 자세를 교정 할 수 있도록 도움을 줄 수 있는 스마트폰 기반의 자이로 센서를 이용한 착용형 자세 교정 시스템을 구현하였다. 이를 위하여 2개의 자이로 센서를 Y자 서스펜더 상, 하에 각각 부착하여 신체의 기울기를 측정하였으며, 블루투스 통신을 이용하여 스마트폰으로 데이터를 전송하였다. 전송된 신체의 기울기 정보는 바른 자세에 대한 평균 기울기 정보와 비교하여 바른 자세와 잘못된 자세를 판단하고자 하였으며, 이를 위한 스마트폰 기반의 어플리케이션을 구현하였다. 구현된 어플리케이션은 자세 판별뿐만 아니라 현재의 자세 정보를 직관적으로 표현하기 위한 모니터링 부와 잘못된 자세 검출 시 진동이나 알림 음 또는 팝업 메시지를 통해 사용자에게 전달하는 알림 기능을 구성하였다. 또한 구현된 시스템으로부터 대표적인 잘못된 자세 4가지에 대한 검출 실험을 수행하였으며, 그 결과 100% 검출이 가능함을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.395-396
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• 2015

This paper preseints new pose analysis techniques that use a kinnect. This Viision-based system is augmented with a natural interface that enables the user to refine the suggested rectification. This makes it very easy for observer to execute fast and continuous commands.

• Journal of Advanced Navigation Technology
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• v.8 no.2
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• pp.112-119
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• 2004

This paper proposes an attitude determination GPS/INS integrated system scheme for a UAV and presents experimental flight test results. The proposed system is designed as a part of an autopilot system and comprises a GPS attitude determination receiver, an off-the-shelf inertial measurement unit (IMU), and a navigation computer unit (NCU). UAV requires accurate attitude information for stable automatic flight control. The proposed system can provide accurate attitude information for the flight control computer (FCC) so that stable automatic flight control can be achieved. In order to verify the performance of the proposed scheme, an integrated navigation system has been developed. In order to evaluate the developed navigation system, the flight test has been performed. In the flight test, the developed system was shown to provide the position, the velocity and the attitude satisfactorily enough for stable flight control. The accuracy of the attitude information of the developed system was confirmed by comparing attitude of vertical gyro.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.172.2-172.2
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• 2012

위성은 발사 후 임무수행을 위하여 자세획득 및 자세결정이 필수적이다. 저궤도 위성에서 자이로센서는 별 센서와 함께 사용되거나, 별 추적기와 사용하여 자세의 변화량을 읽고 자세제어를 수행한다. 자이로센서는 크게 전력공급부와 각속도 측정부, 그리고 전자처리부 등으로 구성된다. 위성은 발사 전 조립시험 기간 동안 전자파, 진동, 열/진공 등의 환경시험 통하여 수차례의 성능 유무를 확인한다. 본고에서는 열진공시험 전과 후, 그리고 열진공시험 진행중에 측정한 결과를 통하여, 시스템적인 측면에서의 자이로센서 건강상태 및 성능을 분석하였다. 위성시스템 상태의 자이로 시험은 자이로센서가 가질 수 있는 조합에 따라 위성의 방향에 따른 지구각속도를 확인 및 관련 데이터를 분석하였다.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.99-104
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• 2019

Recently, modern people are increasing the incidence of various musculoskeletal diseases due to wrong posture. Prevention is possible through proper posture habit, but it is not easy to recognize posture by oneself. Various studies have been conducted to monitor persistent posture in daily life, but most studies using constrained measurement methods and high-cost measurement equipment are not suitable for daily life. In this paper, we implemented a posture discrimination system using a FSR sensor array that can induce posture correction spontaneously through sitting posture monitoring in daily life. The implemented system is designed as a cushion type so it is easy to apply to existing chair. In addition, it can identify five most common postures in everyday life, and can monitor real-time through Android-based smart-phone monitoring application. For the performance evaluation of the implemented system, each posture was measured 50 times repeatedly. As a result, 97.6% accuracy was confirmed.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.83-94
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• 2011

Main researching issue in affective computing is to give a machine the ability to recognize the emotion of a person and to react it properly. Efforts in that direction have mainly focused on facial and oral cues to get emotions. Postures have been recently considered as well. This paper aims to discriminate emotions posture by identifying and measuring the saliency of posture features that play a role in affective expression. To do so, affective postures from human subjects are first collected using a motion capture system, then emotional features in posture are described with spatial ones. Through standard statistical techniques, we verified that there is a statistically significant correlation between the emotion intended by the acting subjects, and the emotion perceived by the observers. Discriminant Analysis are used to build affective posture predictive models and to measure the saliency of the proposed set of posture features in discriminating between 6 basic emotional states. The evaluation of proposed features and models are performed using a correlation between actor-observer's postures set. Quantitative experimental results show that proposed set of features discriminates well between emotions, and also that built predictive models perform well.