• 전기전자학회논문지
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• 제16권4호
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• pp.369-374
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• 2012

본 논문에서는 손동작을 영상 입력 정보로 하여 기기의 기능을 제어하는 UX를 구현하였다 이를 위하여 Microsoft 사의 Kinect 센서를 이용하여 초당 30 프레임의 사용자의 3차원 depth map을 얻고 여기서 skeleton 이미지를 추출하여 손목 등의 관절의 위치에 대한 좌표 값을 얻는다. 전 후 프레임의 손의 위치가 변화하는 방향과 병화량으로부터 손 동작의 의미를 추출하고 다양한 손동작을 이용하여 스마트TV 등의 원격의 영상을 제어하는 명령어 입력으로 사용하는 UX를 제시하고 실험을 통하여 구현하였다.

• 한국지진공학회논문집
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• 제17권4호
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• pp.187-195
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• 2013

In this paper, firstly, acceleration-time histories were generated by varying strong motion duration in the frequency domain for application to a seismically isolated nuclear power structure, so as to examine the effects of strong motion duration on the behavior of the structure. Secondly, real recorded earthquakes were modified to match the target response spectrum based on the revised SRP 3.7.1(2007) and the modified time histories were applied to the analysis of a seismically isolated nuclear power structure. The obtained values of acceleration and displacement responses of the structure were, finally, compared with the values obtained in case of applying acceleration-time histories generated in the frequency domain to the structure.

• 한국산학기술학회논문지
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• 제11권7호
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• pp.2579-2585
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• 2010

본 논문은 단안 카메라로부터 입력된 영상에서 모션 기반의 검색을 사용한 동적인 사람 자세 추적 방법을 제안한다. 제안된 방법은 3차원 공간에서 하나의 사람 자세 후보를 생성하고, 생성된 자세 후보를 2차원 이미지 공간으로 투영하여, 투영된 사람 자세 후보와 입력 이미지와의 특징 값 유사성을 비교한다. 이 과정을 정해진 조건을 만족 할 때까지 반복하여 이미지와의 유사성과, 신체 부분간 연결성이 가장 좋은 3차원 자세를 추정한다. 제안된 방법에서는 입력 이미지에 적합한 3차원 자세를 검색할 때, 2차원 영상에서 추정된 신체 각 부분들의 모션 정보를 사용해 검색 공간을 정하고 정해진 검색 공간에서 탐색하여 사람의 자세를 추정한다. 2차원 이미지 모션은 비교적 높은 제약이 있어서 검색 공간을 의미있게 줄일 수 있다. 이 방법은 모션 추정이 검색 공간을 효율적으로 할당 해주고, 자세 추적이 여러 가지 다양한 모션에 적응할 수 있다는 장점을 가진다

• 한국통신학회논문지
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• 제34권10B호
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• pp.1086-1092
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• 2009

Stereoscopic conversion has been an important and challenging issue for many 3-D video applications. Usually, there are two different stereoscopic conversion approaches, i.e., image motion-based conversion that uses motion information and object-based conversion that partitions an image into moving or static foreground object(s) and background and then converts the foreground in a stereoscopic object. As well, since the input sequence is MPEG-1/2 compressed video, motion data stored in compressed bitstream are often unreliable and thus the image motion-based conversion might fail. To solve this problem, we present the utilization of key-motion that has the better accuracy of estimated or extracted motion information. To deal with diverse motion types, a transform space produced from motion vectors and color differences is introduced. A key-motion is determined from the transform space and its associated stereoscopic image is generated. Experimental results validate effectiveness and robustness of the proposed method.

• 한국군사과학기술학회지
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• 제4권1호
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• pp.30-40
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• 2001

This paper presents a study on the design and simulation of bearing only target motion analysis to enhance the TMA capability using SONAR in underwater environment. A bearing only target motion analysis algorithm using aperiod bearing input signals has been developed and simulated in the MATLAB.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1989년도 가을 학술발표회 논문집
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• pp.46-50
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• 1989

Methods for the estimation of the coefficient matrices in the equation of motion for a linear multi-degree-of-freedom structure arc studied. For this purpose, the equation of motion is transformed into an auto-regressive and moving average with auxiliary input (ARMAX) model. The ARMAX parameters are evaluated using several methods of parameter estimation; such as toe least squares, the instrumental variable, the maximum likelihood and the limited Information maximum likelihood methods. Then the parameters of the equation of motion are recovered therefrom. Numerical example is given for a 3-story building model subjected to an earthquake exitation.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.466-471
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• 1994

To make a dynamic system a given desired motion trajectory, a new feedback error learning scheme is proposed which is based on the repeatability of dynamic system motion. This method is composed of feedforward and feedback control laws. A benefit of this control scheme is that the input pattern that generates the desired motion can be formed without estimating the physical parameters of system dynamics. The numerical simulations show the good performance of the proposed scheme

• Smart Structures and Systems
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• 제14권3호
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• pp.347-365
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• 2014

The main objective of this paper is to develop an innovative methodology for the vibration suppression control of the multiple degrees-of-freedom (MDOF) flexible structure. The proposed structure represented in this research as a clamped-free-free-free truss type plate is rotated by motors. The controller has two loops for tracking and vibration suppression. In addition to stabilizing the actual system, the proposed feedback control is based on a genetic algorithm (GA) to seek the primary optimal control gain for tracking and stabilization purposes. Moreover, input shaping is introduced for the control scheme that limits motion-induced elastic vibration by shaping the reference command. Experimental results are presented, demonstrating that, in the control loop, roll and yaw angles track control and elastic mode stabilization. It was also demonstrated that combining the input shaper with the proportional-integral-derivative (PID) feedback method has been shown to yield improved performance in controlling the flexible structure system. The broad range of problems discussed in this research is valuable in civil, mechanical, and aerospace engineering for flexible structures with MDOM motion.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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• pp.199-202
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• 2002

We described a real-time 3D computer vision system called MIMIC(Motion interface f Motion information Capture system) that can capture and save motion of an actor. This system analyzes input images from vision sensors and searches feature information like a head, hands, and feet. Moreover, this estimates intermediated joints as an elbow and hee using feature information and makes 3D human model having 20 joints. This virtual human model mimics the motion of an actor in real-time. Therefore this system can realize the movement of an actor unaffectedly because of making intermediated joint for complete human body contrary to other marker-free motion capture system.

• 한국멀티미디어학회논문지
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• 제17권12호
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• pp.1437-1445
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• 2014

A smartphone has very limited input methods regardless of its various functions. In this respect, it is one alternative that sensor motion recognition can make intuitive and various user interface. In this paper, we recognize user's motion using acceleration sensor, magnetic field sensor, and gyro sensor in smartphone. We try to reduce sensing error by gradient descent algorithm because in single sensor it is hard to obtain correct data. And we apply vector quantization by conversion of rotation displacement to spherical coordinate system for elevated recognition rate and recognition of small motion. After vector quantization process, we recognize motion using HMM(Hidden Markov Model).