• 제목/요약/키워드: Joint Relative Coordinate

검색결과 19건 처리시간 0.02초

Reconstructing individual hand models from motion capture data

  • Endo, Yui;Tada, Mitsunori;Mochimaru, Masaaki
    • Journal of Computational Design and Engineering
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    • 제1권1호
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    • pp.1-12
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    • 2014
  • In this paper, we propose a new method of reconstructing the hand models for individuals, which include the link structure models, the homologous skin surface models and the homologous tetrahedral mesh models in a reference posture. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the trajectories of optimal markers on the relative skin surface region of the subject obtained from the motion capture system. The skin surface model is defined as a three-dimensional triangular mesh, obtained by deforming a template mesh so as to fit the landmark vertices to the relative marker positions obtained motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints.

Effects of Differential Stability on Control of Multi-Joint Coordination in the Upper Extremity: A Torque Component Analysis

  • Ryu, Young Uk;Shin, Hwa Kyung
    • The Journal of Korean Physical Therapy
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    • 제28권1호
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    • pp.8-13
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    • 2016
  • Purpose: The purpose of the present current study was to examine control of upper limb multi-joint movements with differential coordination stability. To achieve the goals of the study, torque analyses were utilized to answer questions about how torque components were differed among various elbow-wrist coordination patterns. Methods: Eight self-reported right-handed college students (3 males and 5 females, mean age=20.6 yr) were volunteered. The task required participants to rhythmically coordinate the flexion-extension motions of their elbow and wrist with coordination relationship of $0^{\circ}$, $90^{\circ}$, and $180^{\circ}$relative phases between the two joints. Mean relative phase and phase stability (standard deviation of relative phase) were computed to for analysisze of overall coordination performance. To determine the figure out characteristics of torque components in elbow and wrist joints, impulse values of muscle torque (MT) and interactive torque (IT) and MT as a percentage of cycle duration (MT-PCD) were analyzed. Results: Torque results showed that the proximal elbow joint generated motions with mainly muscle efforts regardless of coordination patterns, while the distal wrist joint adjusted the coordination patterns by changing amount of MT. Impulse analyses showed that the least stable $90^{\circ}$ pattern was performed by utilizing a similar coordination strategy of the most stable $0^{\circ}$ pattern. Conclusion: The present current study suggests that the roles of distal and proximal joints differ in order to achieve various multi-joint coordination movements. This study provides information for use in gives an idea to development of rehabilitation or training programs for to persons with an impaired upper limb motor ability.

Learning a Single Joint Perception-Action Coupling: A Pilot Study

  • Ryu, Young-Uk
    • The Journal of Korean Physical Therapy
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    • 제22권6호
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    • pp.43-51
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    • 2010
  • Purpose: This study examined the influence of visuomotor congruency on learning a relative phase relationship between a single joint movement and an external signal. Methods: Participants (N=5) were required to rhythmically coordinate elbow flexion-extension movements with a continuous sinusoidal wave (0.375 Hz) at a $90^{\circ}$ relative phase relationship. The congruent group was provided online feedback in which the elbow angle decreased (corresponding to elbow flexion) as the angle trajectory was movingup, and vice versa. The incongruent group was provided online feedback in which the elbow angle decreased as the angle trajectory was moving down, and vice versa. There were two practice sessions (day 1 and 2) and each session consisted of 6 trials per block (5 blocks per session). Retention tests were performed 24 hours after session 2, and only the external sinusoidal wave was provided. Repeated ANOVAs were used for statistical analysis. Results: During practice, the congruent group was significantly less variable than the incongruent group. Phase variability in the incongruent group did not significantly change across blocks, while variability decreased significantly in the congruent group. In retention, the congruent group produced the required $90^{\circ}$ relative phase pattern with significantly less phase variability than the incongruent group. Conclusions: Congruent visual feedback facilitates learning. Moreover, the deprivation of online feedback does not affect the congruent group but does affect the incongruent group in retention.

Human Activity Recognition with LSTM Using the Egocentric Coordinate System Key Points

  • Wesonga, Sheilla;Park, Jang-Sik
    • 한국산업융합학회 논문집
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    • 제24권6_1호
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    • pp.693-698
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    • 2021
  • As technology advances, there is increasing need for research in different fields where this technology is applied. On of the most researched topic in computer vision is Human activity recognition (HAR), which has widely been implemented in various fields which include healthcare, video surveillance and education. We therefore present in this paper a human activity recognition system based on scale and rotation while employing the Kinect depth sensors to obtain the human skeleton joints. In contrast to previous approaches that use joint angles, in this paper we propose that each limb has an angle with the X, Y, Z axes which we employ as feature vectors. The use of the joint angles makes our system scale invariant. We further calculate the body relative direction in the egocentric coordinates in order to provide the rotation invariance. For the system parameters, we employ 8 limbs with their corresponding angles each having the X, Y, Z axes from the coordinate system as feature vectors. The extracted features are finally trained and tested with the Long short term memory (LSTM) Network which gives us an average accuracy of 98.3%.

An Ultraprecise Machining System with a Hexapod Device to Measure Six-Degree-Of-Freedom Relative Motions Between The Tool And Workpiece

  • Oiwa, Takaaki
    • International Journal of Precision Engineering and Manufacturing
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    • 제8권2호
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    • pp.3-8
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    • 2007
  • A machining system that generates accurate relative motions between the tool and workpiece is required to realize ultra precise machining or measurements. Accuracy improvements for each element of the machine are also required. This paper proposes a machining system that uses a compensation device for the six-degree-of-freedom (6-DOF) motion error between the tool and workpiece. The compensation device eliminates elastic and thermal errors of the joints and links due to temperature fluctuations and external forces. A hexapod parallel kinematics mechanism installed between the tool spindle and surface plate is passively actuated by a conventional machine. Then the parallel mechanism measures the 6-DOF motions. We describe the conception and fundamentals of the system and test a passively extensible strut with a compensation device for the joint errors.

절대절점좌표를 이용한 고속철도 집전성능 동역학 해석 모델 개발 및 검증 (Development and Verification of a Dynamic Analysis Model for the Current-Collection Performance of High-Speed Trains Using the Absolute Nodal Coordinate Formulation)

  • 이진희;박태원
    • 대한기계학회논문집A
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    • 제36권3호
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    • pp.339-346
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    • 2012
  • 철도차량의 집전성능 및 이선율에 대한 사전 평가는 철도차량의 고속화와 더불어 중요시되는 문제이다. 본 논문에서는 유연체 다물체 동역학 해석 기법을 이용하여 가선과 판토그래프 사이의 동적상호작용에 대한 시뮬레이션 모델을 개발하였다. 해석 모델에서 판토그래프는 강체로 모델링 하였으며, 가선계는 탄성 대변형체의 거동을 효과적으로 표현할 수 있는 절대절점좌표를 이용하여 구현하였다. 또한, 가선계와 판토그래프 간의 동적 상호작용의 표현을 위하여 서로간의 상대운동은 슬라이딩 조인트를 이용하여 구속하였다. 개발된 해석 프로그램을 이용하여 철도차량의 주행 속도에 따라 발생하는 접촉력 및 이선율을 평가하였다. 개발 프로그램의 해석 모델 및 시뮬레이션에 대한 신뢰성은 가선계와 판토그래프의 동적 상호작용 시뮬레이션 방법에 대한 국제 규정인 EN 50318에 의하여 검증하였다. 해석 모델의 개발을 통하여 개발 중인 고속철도의 집전성능을 평가할 수 있는 기반을 마련하였다.

직접미분법을 이용한 현가장치의 기구학적 민감도해석 (Kinematic Design Sensitivity Analysis of Suspension systems Using Direct differentiation)

  • 민현기;탁태오;이장무
    • 한국자동차공학회논문집
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    • 제5권1호
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    • pp.38-48
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    • 1997
  • A method for performing kinematic design sensitivity analysis of vehicle suspension systems is presented. For modeling of vehicle suspensions, the multibody dynamic formulation is adopted, where suspensions are assumed as combination of rigid bodies and ideal frictionless joints. In a relative joint coordinate setting, kinematic constraint equations are obtained by imposing cut-joints that transform closed-loop shape suspension systems into open-loop systems. By directly differentiating the constraint equations with respect to kinematic design variables, such as length of bodies, notion axis, etc., sensitivity equations are derived. By solving the sensitivity equations, sensitivity of static design factors that can be used for design improvement, can be obtained. The validity and usefulness of the method are demonstrated through an example where kinematic sensitivity analysis of a MacPherson strut suspension of performed.

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속도변환기법을 이용한 기계시스템의 역동학적 해석 (Inverse Dynamic Analysis of Mechanical Systems Using the Velocity Transformation Technique)

  • 이병훈;양진생;전우성
    • 대한기계학회논문집A
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    • 제20권12호
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    • pp.3741-3747
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    • 1996
  • This paper presents a method for the inverse dynamic anlaysis of mechanical systems. Actuating forces(or torques) depending on the driving constraints are analyzed in the relative coordinate space using the velocity transformation technique. A systematic method to compose the inverse velocity transformation matrix, which is used to determine the joint reaction forces, is proposed. Two examples are taken to verify the method developed here.

VR 환경을 고려한 동작 및 위치 인식에 관한 연구 (A Study on Motion and Position Recognition Considering VR Environments)

  • 오암석
    • 한국정보통신학회논문지
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    • 제21권12호
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    • pp.2365-2370
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    • 2017
  • 본 논문에서는 체험형 VR 환경을 고려한 동작 및 위치 인식 기법을 제안한다. 동작 인식은 신체부위에 복수개의 AHRS 디바이스를 부착하고 이를 기준으로 좌표계를 정의한다. 각각의 AHRS 디바이스로부터 측정되는 9축 움직임 정보를 기반으로 사용자의 동작을 인식하고 신체 분절 간의 관절각을 추출하여 동작을 보정한다. 위치인식은 AHRS 디바이스의 관성센서를 통해 보행 정보를 추출하여 상대위치를 인식하고 BLE Fingerprint를 이용하여 누적오차를 보정한다. 제안하는 동작 및 위치인식 기법의 구현을 위해 AHRS기반의 위치인식과 관절각 추출 실험을 진행하였다. 위치 인식 실험의 평균 오차는 0.25m, 관절 각 추출 실험에서 관절 각 평균 오차는 $3.2^{\circ}$로 나타났다.