• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.11-12
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• 2017

본 논문에서는 항공기 비행 자세를 직관적으로 이해하고 동작의 원리를 시각화 할 수 있는 비행 자세 시뮬레이터를 구현하였다. 항적 정보의 변화에 따라 6축 모션 플랫폼을 동작시키고, 자이로 센서로 부터 전달 받은 비행 자세를 시뮬레이터에 전달하여 시스템을 구성한다. 항공기의 자세를 분석하기 위하여 자이로 센서와 가속도 센서를 같이 사용하는데 자이로 센서는 적분과정의 누적오차가 발생하고 가속도 센서는 짧은 순간의 진동에 따른 노이즈가 심하여 상보 필터를 이용한 보정작업을 하였다. 산출된 센서 정보를 이용하여 6축 모터에 전달할 각도를 계산하여 모션 플랫폼을 동작시키게 되며 시각화 결과는 OpenGL을 이용하여 구현하였다. 본 연구의 결과는 향후, 항공관련 학생들의 교육 기자재로 활용될 수 있을 것으로 사료된다.

• Electronics and Telecommunications Trends
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• v.20 no.4 s.94
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• pp.16-28
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• 2005

최근 컴퓨터비전 기술을 이용하는 새로운 패러다임의 마커프리 모션캡처 기술이 미국의 MIT, CMU, MS, 일본의 ATR, MERL, 영국의 Oxford 대학 등에서 개발되고 있다. 마커프리 모션캡처는 연기자의 몸에 마커나 센서를 부착하지 않으며 특별한 조명이 필요 없으므로, 애니메이션 제작뿐만 아니라 일반인을 대상으로 하는 동작 인터페이스분야로의 확대 적용이 가능한 모션캡처 방식이다. ETRI에서는 여러 응용 분야에 모션인터페이스로 활용할 수 있는 환경 변화에 강인한 마커프리 모션캡처 시스템을 개발하고 있다. 몸에 마커나 센서를 부착하지 않은 자유 복장 상태의 동작자에 대해 조명 조건 변화 및 배경 변화에 강건하게 실시간 모션캡처 할 수 있는 기술 개발을 목표로 한다. 본 연구 개발이 성공한다면, 2007년에 876억 달러 규모로 확대될 전망인 영화, 방송물, 게임 등을 포함한 세계 영상 콘텐츠 시장에서 핵심 요소 기술 역할을 할 것이다. 그리고, 차세대 3D OS에서는 직관적 3D 포인팅 수단으로 활용될 수 있을 것이며, 2004년에 18,600만 대가 출고된 PC 시장을 고려하면 폭발적 수요가 예측된다.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.45-55
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• 2021

Information obtained through various sensors embedded in a smartphone can be used to identify and analyze user's movements and situations. In this paper, we propose two rule-based motion detection systems that can detect three alphabet motions, 'I', 'S', and 'Z' by analyzing data obtained by the acceleration and gyroscope sensors in a smartphone. First of all, the characteristics of acceleration and angular velocity for each motion are analyzed. Based on the analysis, two rule-based systems are proposed and implemented as an android application and it is used to verify the detection performance for each motion. Two rule-based systems show high recognition rate over 90% for each motion and the rule-based system using ensemble shows better performance than another one.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1127-1134
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• 2017

In this study, the robot arm control system was implemented that is operated by human hands, which can be used in environments that are inaccessible to humans. This function has to be sent to the robot's arms after extracting coordinates of human hands. Through mapping and bluetooth communication we use a leap motion sensor with infrared light and Image recognition sensor.

• Journal of the Korea Computer Graphics Society
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• v.19 no.4
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• pp.13-22
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• 2013

A motion capture system is widely used in movies, computer game, and computer animation industries because it allows for creating realistic human motions efficiently. The inertial motion capture system has several advantages over more popular vision-based systems in terms of the required space and cost. However, it suffers from low accuracy due to the relatively high noise levels of the inertial sensors. In particular, the accelerometer used for measuring gravity direction loses the accuracy when the sensor is moving with non-zero linear acceleration. In this paper, we propose a method to remove the linear acceleration component from the accelerometer data in order to improve the accuracy of measuring gravity direction. In addition, we develop a simple method to calibrate the joint axis of a link to which an inertial sensor belongs as well as the position of a sensor with respect to the link. The calibration enables attaching inertial sensors in an arbitrary position and orientation with respect to a link.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.65-74
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• 2010

At the aim of solving the problems appearing in traditional optical motion capturing systems such as the interference among multiple patches and the complexity of sensor and patch allocations, this paper proposes a new motion capturing system which is composed of a single camera and multiple motion sensors. A motion sensor is consisted of an acceleration sensor and a gyro sensor to detect the motion of a patched body and the orientation (roll, pitch, and yaw) of the motion, respectively. Although Image information provides the positions of the patches in 2D, the orientation information of the patch motions acquired by the motion sensors can generate 3D pose of the patches using simple equations. Since the proposed system uses the minimum number of sensors to detect the relative pose of a patch, it is easy to install on a moving body and can be economically used for various applications. The performance and the advantages of the proposed system have been proved by the experiments.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.45-50
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• 2016

This paper describes the development of smart sticks as walking assistance for elderly people that incorporate motion sensing, hear-beat sensing, data processing, and communication functions. Our sticks communicate with users' smart phones and upon a detection of falling-off, an alarm is generated and propagated to multiple guardians registered in advance. In addition, the sticks provide smart healthcare functionalities for elderly people thus suggest an health platform that is empowered by various health-related informations. The heartbeat sensors and motion sensors mounted on the sticks enable various additional functions. Our smart sticks are designed to function as stable walking assistance as well as to support elderly people by providing useful services in the convergence with information technologies.

• Annual Conference of KIPS
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• 2018.05a
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• pp.486-487
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• 2018

본 논문에서는 다선형 PCA(Principal Component Analysis)를 이용한 키넥트 센서 기반 댄스 모션분류방법을 제안한다. 댄스 모션 분류를 수행하기 위해서, 먼저 키넥트 데이터 깊이 영상과 이진영상을 보간법을 통해 데이터의 크기를 정렬시켜준다. 다음으로 다선형 주성분 분석 기법 (MPCA)을 이용하여 연속된 댄스모션영상들에 대한 특징을 추출하고, 유클리디안 분류기를 통해 클래스 분류한다. 본 실험에 사용된 데이터베이스는 키넥트 센서를 기반으로 전문 댄서 4명을 통해 취득된다. 총 100곡의 K-POP을 선정하였고, 곡마다 2개의 포인트 안무를 통해 총 200개의 포인트 댄스모션 데이터베이스를 구축하였다. 실험결과 제안된 방법은 89.5%의 성능을 나타낸다.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.317-322
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• 2009

If vibration occurs due to fast movement of the robot, the camera image is unstable. No longer the eyes of a robot can not perform the role. Research methods for the stabilization of shaky video is required. The most popular method is to use the motion vector. But, the drawback to this method will require a large amount of operation. And the limits of the embedded robot. Therefore, in real-time transmission of images to be difficult. This paper proposes a motion sensor using the image stabilization. Uses data that is output from the motion sensor. So, not related to the progress of the robot movement is a way to remove it from the video.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.672-676
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• 2009

Recently, intelligent surveillance camera systems are needed popularly. However, current researches are focussed on improvement of a single module rather than implementation of an integrated system. In this paper, we implemented a wireless surveillance camera system which is composed of face detection, and using motion sensor. In our implementation, we used a camera module from SHARP, a pair of wireless video transmission module from ECOM, a pair of ZigBee RF wireless transmission module from ROBOBLOCK, and a motion sensor module (AMN14111) from PANASONIC. We used OpenCV library for face dection and MFC for implement software. We identified real-time operations of face detection, PTT control, and motion sensor detecton. Thus, the implemented system will be useful for the applications of remote control, human detection, and using motion sensor.