• PNF and Movement
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• 제9권2호
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• pp.39-44
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• 2011

Purpose : This study was aimed to examine the Influence of PNF indirect treatment for frozen shoulder patient Methods : Frozen shoulder patient was measured range of motion test of shoulder joint, visual analog scale(VAS) for pain and clean up the mirror activity at pre intervention and post-intervention in 2 weeks. Results : The ROM, activities of shoulder were increased and decreased VAS point for pain after treatments. Conclusion : We found that PNF indirect treatment could improve ROM and functions of shoulder and pain for frozen shoulder patient.

• 한국멀티미디어학회논문지
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• 제14권12호
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• pp.1517-1527
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• 2011

This paper presents a motion capture based rehabilitation training system for a lower-limb paretic patient. The system evaluates the rehabilitation status of the patient by using the bend posture of the knees and the weight balance of the body. The posture of both legs is captured with a single camera using the planar mirror. The weight distribution is obtained by the Wii Balance Board. Self-occlusion problem in the tracking of the legs is resolved by using k-nearest neighbor based clustering with body symmetry and local-linearity of the posture data. To do this, we present data normalization and its symmetric property in the normalized vector space.

• 한국인터넷방송통신학회논문지
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• 제19권6호
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• pp.169-174
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• 2019

최근 원격통신용 미러의 정밀 제어를 위한 초정밀 구동 메커니즘 설계에 많은 연구가 진행되고 있다. 본 연구에서는 초정밀 구동 메카니즘의 구성 조건을 만족하기 위하여 마이크로미터(um)의 분해능을 가진 탄성힌지(flexure hinge)를 이용한 6자유도 스테이지 메카니즘을 제안한다. 탄성힌지를 조인트로 이용하여 공간상의 6자유도 스테이지를 설계하고, 탄성힌지의 탄성변형을 이용하여 반복적인 운동을 제공한다. 공간상의 6 자유도 스테이지를 개발하기 위하여 탄성힌지를 이용한 평면상의 2 자유도 스테이지를 설계하고 이를 조합하여 6 자유도 스테이지를 제작하였다. 유한요소 해석을 통하여 단위입력에 대한 최대 출력변위를 생성하는 탄성힌지의 크기와 형상을 결정하였고, 전체 스테이지를 구동 할 때, 개별 탄성힌지가 탄성 영역 안에서 구동됨을 유한요소 해석을 통하여 증명하였다. 또한 전체 스테이지 구동의 변위보정과 강성검증을 실험적으로 증명하기 위하여 CCD 레이저 변위센서를 이용한 스테이지 변위 해석을 진행하였다.

• 전기전자학회논문지
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• 제23권1호
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• pp.74-79
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• 2019

인구 고령화와 웰빙 열풍으로 인해 건강관리 욕구가 증가하면서 피트니스에 대한 관심은 점점 더 높아지고 있다. 사람들은 운동을 하기 위해 헬스장을 가지만, 많은 이들이 운동하는 방법을 몰라 운동 순서나 운동 자세를 틀리게 하는 경우가 많다. 이러면 운동 효과도 미비할 뿐만 아니라 부상의 위험도 커진다. 본 논문에서는 스마트 거울 앞에서 영상을 보며 혼자서 운동을 따라 할 수 있고 운동 자세가 잘못되었을 경우 실시간으로 틀린 곳을 확인시켜주는 스마트 거울을 활용한 피트니스 시스템의 개발 내용에 대해 기술한다. 이 시스템을 사용함으로써 사람들은 혼자서도 트레이너의 도움 없이 바른 자세로 운동을 할 수 있게 될 것이며, 이로 인해 그룹 또는 개인 트레이너를 기다려야 하는 시간이나 비용의 제약에 얽매이지 않고 운동을 할 수 있게 될 것이다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(A)
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• pp.256-257
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• 2010

• International Journal of Precision Engineering and Manufacturing
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• 제9권4호
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• pp.26-31
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• 2008

A precision four-degree-of-freedom measurement system has been developed for simultaneous measurement of four motion errors of a linear stage, which include straightness and angular errors, The system employs a retro-reflector to detect the straightness errors and a plane mirror to detect the angular errors. A common-path compensation method for laser beam drift is put forward, and the experimental results show that the influences of beam drift on four motion errors can be reduced simultaneously. In comparison with the API 5D laser measuring system, the accuracy for straightness measurement is about ${\pm}1.5{\mu}m$ within the measuring range of ${\pm}650{\mu}m$, and the accuracy for pitch and yaw measurements is about ${\pm}1.5$ arc-seconds within the range of ${\pm}600$ arc-seconds.

• 한국운동역학회지
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• 제16권1호
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• pp.129-138
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• 2006

The motion of a spinning table-tennis ball is investigated in both theory and experiment. The equation of motion of spinning table-tennis ball is made using aerodynamics and calculated by C++ program In theoretical part, gravity, drag force and lift force are regarded as main force. Velocity, angular velocity, mass and Drag and lift coefficients are considered as a independent variable. Experiments are made by a digital stroboscope, a digital camera and a mirror, and snap multi-exposed images were took as a dependent result In experimental part, both magnitude and direction of velocity and angular velocity are changed in each situation. The predicted three-dimensional trajectories of spinning balls are compared with experimental trajectories. As a result the theoretical trajectories were predicted within 10% of experimental trajectories.

• 제어로봇시스템학회논문지
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• 제20권1호
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• pp.70-77
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• 2014

This paper proposes a novel localization algorithm based on ego-motion which used Lucas-Kanade Optical Flow and warping image obtained through fish-eye lenses mounted on the robots. The omnidirectional image sensor is a desirable sensor for real-time view-based recognition of a robot because the all information around the robot can be obtained simultaneously. The preprocessing (distortion correction, image merge, etc.) of the omnidirectional image which obtained by camera using reflect in mirror or by connection of multiple camera images is essential because it is difficult to obtain information from the original image. The core of the proposed algorithm may be summarized as follows: First, we capture instantaneous $360^{\circ}$ panoramic images around a robot through fish-eye lenses which are mounted in the bottom direction. Second, we extract motion vectors using Lucas-Kanade Optical Flow in preprocessed image. Third, we estimate the robot position and angle using ego-motion method which used direction of vector and vanishing point obtained by RANSAC. We confirmed the reliability of localization algorithm using ego-motion based on fisheye warping image through comparison between results (position and angle) of the experiment obtained using the proposed algorithm and results of the experiment measured from Global Vision Localization System.

• 대한기계학회논문집B
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• 제25권10호
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• pp.1327-1336
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• 2001

The structural modes driven by the low wave-number components of smooth elastic wall pressure provide a relatively weak coupling between the flow and the wall motion. If the elastic thin plate has any resonant mode whose wave-number of resonance coincides with $\omega$/U$\sub$c/, the power will be transmitted to those modes of vibration by the flows. We examine the problem in which the elastic thin plate is subject to pressure fluctuations under turbulent boundary layer. Measurements are presented of the frequency spectra of the near- and far-field pressures and radiated sound contributed by the various wave modes of the thin elastic plate. Dispersion equation for wave motions of elastic plate is used to investigate the effect of bending waves of relatively low wave number on radiated sound. The low wave-number motion of elastic plate is observed to have much less influence on the low-frequency energy of wall pressure fluctuations than that of the rediated sound. High amplitude events of the wall pressure are observed to weakly couple with high-frequency energy of radiated sound for case of low tension applied to the plate. The sound source localization is applied to the measurement of radiated sound by using acoustic mirror system.

• Journal of Electrical Engineering and Technology
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• 제7권1호
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• pp.115-123
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• 2012

A video analysis system used to detect events in video streams generally has several processes, including object detection, object trajectories analysis, and recognition of the trajectories by comparison with an a priori trained model. However, these processes do not work well in a complex environment that has many occlusions, mirror effects, and/or shadow effects. We propose a new approach to a context-aware video surveillance system to detect predefined contexts in video streams. The proposed system consists of two modules: a feature extractor and a context recognizer. The feature extractor calculates the moving energy that represents the amount of moving objects in a video stream and the stationary energy that represents the amount of still objects in a video stream. We represent situations and events as motion changes and stationary energy in video streams. The context recognizer determines whether predefined contexts are included in video streams using the extracted moving and stationary energies from a feature extractor. To train each context model and recognize predefined contexts in video streams, we propose and use a new ensemble classifier based on the AdaBoost algorithm, DAdaBoost, which is one of the most famous ensemble classifier algorithms. Our proposed approach is expected to be a robust method in more complex environments that have a mirror effect and/or a shadow effect.