• 제목/요약/키워드: Motion Acquisition

검색결과 180건 처리시간 0.028초

Ultrasonic Measurement of Tissue Motion for the Diagnosis of Disease

  • Beach Kirk W.
    • International Journal of Vascular Biomedical Engineering
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    • 제1권1호
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    • pp.3-12
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    • 2003
  • Ultrasonic pulsed Doppler velocimetry has become a standard international method of classifying carotid disease. Because the measured angle adjusted velocity increases as the Doppler angle increases, examinations should be performed at a convenient standard Doppler examination angle. An angle of 60 degrees is achievable throughout most examinations. Multiple Doppler viewing angles allow the acquisition of velocity vectors during the cardiac cycle, revealing the complex velocity patterns. Ultrasonic velocimetry (whether Doppler or time domain) is based on changes in the phase of the ultrasound echo. Other examinations can be done based on the echo phase. Slow motions of organs such as the brain can be used to monitor changes in edema. Measurements of tissue strain due to the pulsatile filling of the arterioles. This plethysmographic imaging method can display differences in tissue perfusion because of different tissue types and changes in autonomic activity.

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Optimized Optomechanical Anti-Aliasing Filter for Digital Camera Photography

  • Lee, Sang Won;Chang, Ryungkee;Moon, Sucbei
    • Journal of the Optical Society of Korea
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    • 제19권5호
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    • pp.456-466
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    • 2015
  • We investigated an anti-aliasing (AA) filter for digital camera photography by which the excessively high-frequency components of the image signal are suppressed to avoid the aliasing effect. Our optomechanical AA filter was implemented by applying rapid relative motions to the imaging sensor. By the engineered motion blur of the mechanical dithers, the effective point-spread function (PSF) of the imaging system could be tailored to reject the unwanted high-frequency components of the image. For optimal operations, we developed a spiral filter motion protocol that could produce a Gaussian-like PSF. We experimentally demonstrated that our AA filter provides an improved filtering characteristic with a better compromise of the rejection performance and the signal loss. We also found that the pass band characteristic can be enhanced further by a color-differential acquisition mode. Our filter scheme provides a useful method of digital photography for low-error image measurements as well as for ordinary photographic applications where annoying $moir{\acute{e}}$ patterns must be suppressed efficiently.

프로젝션 타입 고속 스핀 에코 자기공명 영상에서의 대조도 분석 (Contrast analysis in the Projection-type fast spin echo imaging in MRI)

  • 김치영;김휴정;안창범
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3216-3218
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    • 2000
  • Projection-type Fast Spin Echo (PFSE) imaging has robustness against motion artifacts due to patient motion during magnetic resonance imaging data acquisition, or reduce flow artifacts. However, it has difficulty in controlling T2 contrast. In this paper, T2 contrast in the PFSE method is analyzed. The contrasts in FSE and PFSE method are compared by computer simulation and experiments with volunteers.

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Comparison of an ultrasonic distance sensing system and a wire draw distance encoder in motion monitoring of coupled structures

  • Kuanga, K.S.C.;Hou, Xiaoyan
    • Coupled systems mechanics
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    • 제5권2호
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    • pp.191-201
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    • 2016
  • Coupled structures are widely seen in civil and mechanical engineering. In coupled structures, monitoring the translational motion of its key components is of great importance. For instance, some coupled arms are equipped with a hydraulic piston to provide the stiffness along the piston axial direction. The piston moves back and forth and a distance sensing system is necessary to make sure that the piston is within its stroke limit. The measured motion data also give us insight into how the coupled structure works and provides information for the design optimization. This paper develops two distance sensing systems for coupled structures. The first system measures distance with ultrasonic sensor. It consists of an ultrasonic sensing module, an Arduino interface board and a control computer. The system is then further upgraded to a three-sensor version, which can measure three different sets of distance data at the same time. The three modules are synchronized by the Arduino interface board as well as the self-developed software. Each ultrasonic sensor transmits high frequency ultrasonic waves from its transmitting unit and evaluates the echo received back by the receiving unit. From the measured time interval between sending the signal and receiving the echo, the distance to an object is determined. The second distance sensing system consists of a wire draw encoder, a data collection board and the control computer. Wire draw encoder is an electromechanical device to monitor linear motion by converting a central shaft rotation into electronic pulses of the encoder. Encoder can measure displacement, velocity and acceleration simultaneously and send the measured data to the control computer via the data acquisition board. From experimental results, it is concluded that both the ultrasonic and the wire draw encoder systems can obtain the linear motion of structures in real-time.

동작센싱 스마트레깅스 프로토타입 개발 (Developing a Prototype of Motion-sensing Smart Leggings)

  • 황진희;지승현;김선희
    • 한국의류산업학회지
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    • 제24권6호
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    • pp.694-706
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    • 2022
  • This study focusses on the development of a motion-sensing smart leggings prototype with the help of a module that monitors motion using a fiber-type stretch sensor. Additionally, it acquires data on Electrocardiogram (ECG), respiration, and body temperature signals, for the development of smart clothing used in online exercise coaching and customized healthcare systems. The research process was conducted in the following order: 1) Fabrication of a fiber-type elastic strain sensor for motion monitoring, 2) Positioning and attaching the sensor, 3) Pattern development and three-dimensional (3D) design, 4) Prototyping 5) Wearability test, and 6) Expert evaluation. The 3D design method was used to develop an aesthetic design, and for sensing accurate signal acquisition functions, wearability tests, and expert evaluation. As a result, first, the selection or manufacturing of an appropriate sensor for the function is of utmost importance. Second, the selection and attachment method of a location that can maximize the function of the sensor without interfering with any activity should be studied. Third, the signal line selection and connection method should be considered, and fourth, the aesthetic design should be reflected along with functional verification. In addition, the selection of an appropriate material is important, and tests for washability and durability must be made. This study presented a manufacturing method to improve the functionality and design of smart clothing, through the process of developing a prototype of motion-sensing smart leggings.

Natural frequencies and response amplitude operators of scale model of spar-type floating offshore wind turbine

  • Hong, Sin-Pyo;Cho, Jin-Rae
    • Structural Engineering and Mechanics
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    • 제61권6호
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    • pp.785-794
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    • 2017
  • This paper is concerned with the comparative numerical and experimental study on the natural behavior and the motion responses of a 1/75 moored scale model of a 2.5 MW spar-type floating offshore wind turbine subject to 1-D regular wave. Heave, pitch and surge motions and the mooring tensions are investigated and compared by numerical and experimental methods. The upper part of wind turbine which is composed of three rotor blades, hub and nacelle is modeled as a lumped mass and three mooring lines are pre-tensioned by means of linear springs. The numerical simulations are carried out by a coupled FEM-cable dynamics code, while the experiments are performed in a wave tank equipped with the specially-designed vision and data acquisition system. Using the both methods, the natural behavior and the motion responses in RAOs are compared and parametrically investigated to the fairlead position, the spring constant and the location of mass center of platform. It is confirmed, from the comparison, that both methods show a good agreement for all the test cases. And, it is observed that the mooring tension is influenced by all three parameters but the platform motion is dominated by the location of mass center. In addition, from the sensitivity analysis of RAOs, the coupling characteristic of platform motions and the sensitivities to the mooring parameters are investigated.

빈-피킹을 위한 다관절 로봇 그리퍼의 관절 데이터를 이용한 물체 인식 기법 (Method of Object Identification Using Joint Data of Multi-Joint Robotic Gripper for Bin-picking)

  • 박종우;박찬훈;박동일;김두형
    • 한국생산제조학회지
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    • 제25권6호
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    • pp.522-531
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    • 2016
  • In this study, we propose an object identification method for bin-picking developed for industrial robots. We identify the grasp posture and the associated geometric parameters of grasp objects using the joint data of a robotic gripper. Prior to grasp identification, we analyze the grasping motion in a low-dimensional space using principle component analysis (PCA) to reduce the dimensions. We collected the joint data from a human hand to demonstrate the grasp-identification algorithm. For data acquisition of the human grasp data, we conducted additional research on the motion characteristics of a human hand. We explain the method for using the algorithm of grasp identification for bin-picking. Finally, we present a subject for future research using our proposed algorithm of grasp model and identification.

수신호 인식기를 이용한 로봇 사용자 제어 시스템 (Robot User Control System using Hand Gesture Recognizer)

  • 손수원;배정훈;양철종;왕한;고한석
    • 제어로봇시스템학회논문지
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    • 제17권4호
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    • pp.368-374
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    • 2011
  • This paper proposes a robot control human interface using Markov model (HMM) based hand signal recognizer. The command receiving humanoid robot sends webcam images to a client computer. The client computer then extracts the intended commanding hum n's hand motion descriptors. Upon the feature acquisition, the hand signal recognizer carries out the recognition procedure. The recognition result is then sent back to the robot for responsive actions. The system performance is evaluated by measuring the recognition of '48 hand signal set' which is created randomly using fundamental hand motion set. For isolated motion recognition, '48 hand signal set' shows 97.07% recognition rate while the 'baseline hand signal set' shows 92.4%. This result validates the proposed hand signal recognizer is indeed highly discernable. For the '48 hand signal set' connected motions, it shows 97.37% recognition rate. The relevant experiments demonstrate that the proposed system is promising for real world human-robot interface application.

LabVIEW 기반 EPS 동작신호 검출 및 분석 시스템 구현 (Implementation of EPS Motion Signal Detection and Classification system Based on LabVIEW)

  • 천우영;이석현;김영철
    • 스마트미디어저널
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    • 제5권3호
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    • pp.25-29
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    • 2016
  • 본 논문에서는 인체의 전자기장을 측정하는 EPS(Electronic Potential Sensor)를 이용하여 비접촉 동작인식 시스템에 적용하기 위한 연구를 진행하였다. 센서에서 나오는 데이터를 이용하여 동작인식에 적합한 시스템을 설계하기 위한 신호 수집 및 신호처리 시스템을 구현하였다. AC 형태의 입력 데이터 값에 10Hz LPF(Low Pass Filter) 및 H/W 샘플링 속도를 고려하여 선형적인 DC 형태의 데이터로 변형하였다. 센서간의 배열을 고려한 데이터 차분 과정을 통해 목표물의 2차원 움직임 정보를 추출하여 전체 시스템에 대한 특성평가를 수행하였다.