• 제목/요약/키워드: motion sensor

검색결과 1,313건 처리시간 0.041초

Motion and Structure Estimation Using Fusion of Inertial and Vision Data for Helmet Tracker

  • Heo, Se-Jong;Shin, Ok-Shik;Park, Chan-Gook
    • International Journal of Aeronautical and Space Sciences
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    • 제11권1호
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    • pp.31-40
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    • 2010
  • For weapon cueing and Head-Mounted Display (HMD), it is essential to continuously estimate the motion of the helmet. The problem of estimating and predicting the position and orientation of the helmet is approached by fusing measurements from inertial sensors and stereo vision system. The sensor fusion approach in this paper is based on nonlinear filtering, especially expended Kalman filter(EKF). To reduce the computation time and improve the performance in vision processing, we separate the structure estimation and motion estimation. The structure estimation tracks the features which are the part of helmet model structure in the scene and the motion estimation filter estimates the position and orientation of the helmet. This algorithm is tested with using synthetic and real data. And the results show that the result of sensor fusion is successful.

평면도 기상 측정 방법 개발 (Development of On-machine Flatness Measurement Method)

  • 장문주;홍성욱
    • 한국정밀공학회지
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    • 제20권3호
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    • pp.187-193
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    • 2003
  • This paper presents an on-machine measurement method of flatness error fur surface machining processes. There are two kinds of on-machine measurement methods available to measure flatness errors in workpieces: i.e., surface scanning method and sensor scanning method. However, motion errors are often engaged in both methods. This paper proposes an idea to realize a measurement system of flatness errors and its rigorous application for estimation of motion errors of the positioning system. The measurement system is made by modifying the straightness measurement system, which consists of a laser, a CCD camera and processing system, a sensor head, and some optical units. The sensor head is composed of a retroreflector, a ball and ball socket, a linear motion guide unit and adjustable arms. The experimental .results show that the proposed method is useful to identify flatness errors of machined workpieces as well as motion errors of positioning systems.

Kinect Sensor- based LMA Motion Recognition Model Development

  • Hong, Sung Hee
    • International Journal of Advanced Culture Technology
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    • 제9권3호
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    • pp.367-372
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    • 2021
  • The purpose of this study is to suggest that the movement expression activity of intellectually disabled people is effective in the learning process of LMA motion recognition based on Kinect sensor. We performed an ICT motion recognition games for intellectually disabled based on movement learning of LMA. The characteristics of the movement through Laban's LMA include the change of time in which movement occurs through the human body that recognizes space and the tension or relaxation of emotion expression. The design and implementation of the motion recognition model will be described, and the possibility of using the proposed motion recognition model is verified through a simple experiment. As a result of the experiment, 24 movement expression activities conducted through 10 learning sessions of 5 participants showed a concordance rate of 53.4% or more of the total average. Learning motion games that appear in response to changes in motion had a good effect on positive learning emotions. As a result of study, learning motion games that appear in response to changes in motion had a good effect on positive learning emotions

An Observation System of Hemisphere Space with Fish eye Image and Head Motion Detector

  • Sudo, Yoshie;Hashimoto, Hiroshi;Ishii, Chiharu
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.663-668
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    • 2003
  • This paper presents a new observation system which is useful to observe the scene of the remote controlled robot vision. This system is composed of a motionless camera and head motion detector with a motion sensor. The motionless camera has a fish eye lens and is for observing a hemisphere space. The head motion detector has a motion sensor is for defining an arbitrary subspace of the hemisphere space from fish eye lens. Thus processing the angular information from the motion sensor appropriately, the direction of face is estimated. However, since the fisheye image is distorted, it is unclear image. The partial domain of a fish eye image is selected by head motion, and this is converted to perspective image. However, since this conversion enlarges the original image spatially and is based on discrete data, crevice is generated in the converted image. To solve this problem, interpolation based on an intensity of the image is performed for the crevice in the converted image (space problem). This paper provides the experimental results of the proposed observation system with the head motion detector and perspective image conversion using the proposed conversion and interpolation methods, and the adequacy and improving point of the proposed techniques are discussed.

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센서 네트워크를 이용한 2족 보행 로봇의 워킹 방법에 관한 연구 (A study of Human robot Walking Method Using Zigbee Sensor Network)

  • 신대섭;이형철
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.375-377
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    • 2009
  • This paper researched the algorithm of robot's walking and action on the basis of robot studied and made at our laboratory and studied how to efficiently control the robot joints by developing wireless Digital Servo Motor using Zigbee Sensor Network Module which is using at wide part recently. I realized the stable walking by adopt Press Sensor at the bottom of robot foot to get stability of walking. Also I let the algorithm calculate the robot movement to make the joint motion and monitored the robot walk to its motion. At this Paper, I studied the method organizing the motion by the each robot walking and measuring the torque applying to the joint. And I also knew that it is possible to make its control and construct hardware more conveniently than them of the existing studied and controling 2Legs Walking Robot by applying it at walking robot and developing wireless servo motor by Zirbee Sensor Network.

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Motion Sensor를 이용한 MBES 오측자료 제거 연구 (A Study on MBES Error Data Removing using Motion Sensor)

  • 강문권;최윤수;장민철;윤하수
    • 한국측량학회지
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    • 제28권1호
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    • pp.39-46
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    • 2010
  • 수심측량 자료는 선박의 항행안전을 위한 필수자료이며 해양의 합리적 이용과 보전을 위한 기초자료이다. 최근 IT기술과 측위장비(GPS와 INS), 수심관측 장비(Echo Sounder)의 발달로 멀티빔(Multi Beam Echo Sounder) 방식을 이용하여 정밀한 해저지형 자료DB를 구축하고 있다. MBES 자료에는 다양한 요인으로 인하여 오차를 포함하고 있으며, 일부 자료에서 지형이 지그재그한 물결현상을 발생하는 오차들이 발생한다. 물결무늬를 발생시키는 오차는 MBES 자료 처리결과의 정확도를 저해하는 요인이며, 발생 원인을 파악하여 이러한 오측자료 제거를 통하여 정확도를 향상시키고자 한다. 본 연구에서는 MBES 자료를 이용하여 물결 무늬 현상이 발생하는 자료에 대한 Motion sensor 값을 분석하여 오측자료의 원인을 파악하였다 분석결과, 물결무늬 현상은 Roll의 표준편차와 상관관계를 갖으며, 이러한 물결무늬 오측자료는 급격한 Roll 값의 변화로 인하여 Swath 자료와 Roll 값의 불일치 결과로 나타났다. 이를 근거로 Swath 자료의 기울기와 Roll 값의 비교하여 오측자료를 선별하여 제거하였다 오측자료를 제거한 결과. Motion sensor의 Roll 값의 표준연차 등을 이용하여 MBES 자료의 품질을 판단하고, 불일치 자료를 최소화하는 추가적인 오차 요인을 계산할 수 있을 것이라 예상된다 또한, 해황조건이 고르지 못한 상황 및 Sensor의 움직임이 크게 일어나는 소형 선박 등에 척용을 하면 수심측량 정확도 개선에 기여할 수 있을 것이다.

첨단주택 내에서 움직임 감지 센서 노드의 수명 예측 모델 분석 (Analysis of Lifetime Estmation Model of Motion Detection Sensor Nodes in Smart House)

  • 이민구;박용국;정경권;유준재;성하경
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.860-863
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    • 2010
  • 센서 네트워크는 무선 네트워킹 기능이 있는 작고, 독립적인 장치이다. 실제 응용에서의 적응성을 향상시키기 위해서 에너지 소모를 최소화하는 것이 중요한 문제 중의 하나이다. 그러므로 무선 센서 네트워크를 평가하기 위해서는 정확한 에너지 모델이 필요하다. 센서 노드의 수명을 추정하기 위해 TinyOS로 동작하는 Telosb 플래폼 기반의 센서 노드의 에너지 특성을 측정하였다. 제안한 모델을 사용하면 배터리로 구동되는 센서 노드는 1시간 동안 10번 움직임을 감지한다면 약 6.925개월을 사용할 수 있다.

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5 차원 변위 측정용 원판형 정전용량 센서 (A Disk-type Capacitive Sensor for Five-dimensional Motion Measurements)

  • 안형준;박정호;엄창용
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 춘계학술대회논문집
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    • pp.655-662
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    • 2007
  • This paper presents a disk-type capacitive sensor for simultaneous measurement of five-dimensional motions of a target. The sensor can be manufactured with a printed circuit board (PCB) such that the sensor can be integrated with its electronics in a single PCB board, whereby the manufacturing costs is considerably reduced. The sensor is optimally designed through an error analysis of possible mechanical errors. Furthermore, the sensor can correct the horizontal motion measurement errors due to the sensor installation tilting error. A proto-type PCB sensor, electronics and a test rig were built, and the effectiveness of the developed sensor was proved through experiments.

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A Force/Moment Direction Sensor and Its Application in Intuitive Robot Teaching Task

  • Park, Myoung-Hwan;Kim, Sung-Joo
    • Transactions on Control, Automation and Systems Engineering
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    • 제3권4호
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    • pp.236-241
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    • 2001
  • Teach pendant is the most widely used means of robot teaching at present. Despite the difficulties of using the motion command buttons on the teach pendant, it is an economical, robust, and effective device for robot teaching task. This paper presents the development of a force/moment direction sensor named COSMO that can improve the teach pendant based robot teaching. Robot teaching experiment of a six axis commercial robot using the sensor is described where operator holds the sensor with a hand, and move the robot by pushing, pulling, and twisting the sensor in the direction of the desired motion. No prior knowledge of the coordinate system is required. The function of the COSMO sensor is to detect the presence f force and moment along the principal axes of the sensor coordinate system. The transducer used in the sensor is micro-switch, and this intuitive robot teaching can be implemented at a very low cost.

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Work chain-based inverse kinematics of robot to imitate human motion with Kinect

  • Zhang, Ming;Chen, Jianxin;Wei, Xin;Zhang, Dezhou
    • ETRI Journal
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    • 제40권4호
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    • pp.511-521
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    • 2018
  • The ability to realize human-motion imitation using robots is closely related to developments in the field of artificial intelligence. However, it is not easy to imitate human motions entirely owing to the physical differences between the human body and robots. In this paper, we propose a work chain-based inverse kinematics to enable a robot to imitate the human motion of upper limbs in real time. Two work chains are built on each arm to ensure that there is motion similarity, such as the end effector trajectory and the joint-angle configuration. In addition, a two-phase filter is used to remove the interference and noise, together with a self-collision avoidance scheme to maintain the stability of the robot during the imitation. Experimental results verify the effectiveness of our solution on the humanoid robot Nao-H25 in terms of accuracy and real-time performance.