• 제목/요약/키워드: movement analysis system

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무용예술에서의 라반동작분석법의 총체적 의의 (The Meaning of Analysis and Record in Dance Art - Laban Movement Analysis -)

  • 이경희
    • 트랜스-
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    • 제6권
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    • pp.17-33
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    • 2019
  • 학문적인 연구를 위한 목적으로 사용되는 라반 동작분석법(Laban Movement Analysis)의 핵심은 움직임을 통한 개인의 심리 또는 정서 상태는 내적의도에 의해 외적인 움직임으로 표현되며, 그것은 내면 정서의 상징성을 띠고 있다는 것으로부터 출발한다. 또한 라반동작분석법은 움직임의 대상의 구조가 어떠했는지, 그 구조를 과거 또는 다른 구조와 비교 분석적으로 해석하는데 중점을 두며, 분석된 춤의 문법들은 궁극적으로 심리적·사회적·문화적인 다양한 측면에서 서로의 '관계성' 찾을 수 있는 단서를 제공한다. 또한 춤의 '순간성'으로부터 함의된 시스템용어로 기록의 자원을 제공하고, 그것은 다학적인 연구자료로서 교육적 가치를 지닌다.

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A Study for Medical Precision Control Machine Using AX-12

  • Jo, Heung-Kuk
    • Journal of information and communication convergence engineering
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    • 제8권5호
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    • pp.591-594
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    • 2010
  • Control devices perform various works for us in many areas. The device is being utilized for precision movement of certain object. In as much as control devices are activated by means of motors, motor control is important.[1][2] Generally, servo motors capable of precision control are more frequently used than DC motors. Use of 3 motors allows 3- way movement. Medical controllers for surgical operation require high precision. [3][4][5][6] AX-12, a servo motor can realize various types of movement. AX-12 can be easily manufactured in the form of a robotic arm and has features that MCU and its peripheral circuits are simple. For precision movement, 3 motors can be controlled by use of a single joystick and 2 buttons, with movement angles being adjusted by having preset values in the program changed.[7][8] By virtue of this study, we have realized small precision robotic arm system utilizing single joystick and 2 buttons. This system can control the robotic arm in the direction desired by the user. The system has been designed such that a joystick controls 2 motors with the remaining motor being controlled by a button. Single MCU is tasked with both control and movement.[9] We have shown precision robotic arm system in the Figure contained in the conclusion part and made reference to results of analysis in there. It has also been demonstrated that the system can be utilized in the industry.[8]

관성측정장치를 이용한 동태손상증후군의 평가 가능성에 관한 고찰 (Feasibility on Evaluation of Movement System Impairment Syndromes by MEMS-IMU)

  • 김현호;김정균;서재호;박영재;박영배
    • 대한한의진단학회지
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    • 제15권3호
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    • pp.223-234
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    • 2011
  • Objectives: This study shows feasibility and suitability of a microelectromechanical system inertial measurement unit(MEMS-IMU) as a helpful measurement device for evaluating movement system impairment syndrome. Methods: We reviewed articles of two fields in this study. First, we reviewed articles about movement system impairment syndrome(MSIS) as a brand new viewpoint of diagnosing and treating musculoskeletal pain. Second, we reviewed articles about conventional motion analysis system and inertial measurement unit(IMU) to show the superiority of IMU in analyzing the human movement. All papers were searched by SciVerse, world largest search engine and database about many academic fields including engineering and medicine. Results: Some physical quantities of human motions can be useful to the diagnosis of MSIS, and those data can be obtained by the MEMS-IMU without the weak points of the conventional motion analysis systems. Conclusions: Using MEMS-IMU as a measurement unit for diagnosing and evaluating MSIS is feasible and can be extended to many further studies.

차량 움직임 정보를 이용한 GPS/DR 차량항법시스템 성능향상 (Performance Improvement of GPS/DR Car Navigation System Using Vehicle Movement Information)

  • 송종화;김광훈;지규인;이연석
    • 로봇학회논문지
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    • 제5권1호
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    • pp.55-63
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    • 2010
  • This paper describes performance improvement of GPS/DR Integration system using area decision algorithm and vehicle movement information. In GPS signal blockage area, i.e., tunnel and underground parking area, DR sensor errors are accumulated and navigation solution is gradually diverged. We use the car movement information according to moving area to correct the DR sensor error. Also, vehicle movement is decided as stop, straight line, turn and movement changing region through DR sensor data analysis. The car experiment is performed to verify the supposed method. The results show that supposed method provides small position and heading error than previous method.

보행 방향 전환 시 입각기 하지 및 체간의 운동형상학적 분석 (A Study on Kinematic Analysis of Trunk and Lower Extremities in Stance Phase of Walking according to Turning Direction)

  • 오태영
    • The Journal of Korean Physical Therapy
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    • 제25권2호
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    • pp.88-95
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    • 2013
  • Purpose: The purpose of this study was to conduct an analysis of kinematics of lower extremities and trunk in stance phase of walking according to turning direction. Methods: Ten university students (five male, five female) who were in their 20s (mean age was 20.6 years old) participated in this study. Participants did not have participants did not have any problem with skeletal muscular system. We used the "Qualisys motion capture system" for analysis of trunk and lower extremity movement in stance phase of walking according to turning direction. We collected data while subjects walked a distance of 10 m, and at the 6 m line, subjects were required to turn to the left side and the right leg was positioned in stance phase and the left leg was positioned in swing. For data analysis, the SPSS for Windows ver. 20.0 statistics program was used in performance of one way analysis of variance according to turning direction. Results: Significant difference of trunk and lower extremities was observed for turning direction according to walking cycle (p<0.05). Upper trunk movement showed a greater increase at three dimensions than lower trunk, and in heel off phase, pelvic movement showed a greater increase than lower trunk (p<0.05). In 45 degree and 90 degrees of turning direction, all movements of trunk and lower extremities were significantly different among three events of stance phase (p<0.05). Conclusion: We suggest that three-dimensional movement analysis of trunk and lower extremities during turning movement was very important in order to indicate increasing balance or walking ability for people with impaired movement or walking.

상상 움직임에 대한 실시간 뇌전도 뇌 컴퓨터 상호작용, 큐 없는 상상 움직임에서의 뇌 신호 분류 (Real-time BCI for imagery movement and Classification for uncued EEG signal)

  • 강성욱;전성찬
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2009년도 학술대회
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    • pp.642-645
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    • 2009
  • Brain Computer Interface (BCI) is a communication pathway between devices (computers) and human brain. It treats brain signals in real-time basis and discriminates some information of what human brain is doing. In this work, we develop a EEG BCI system using a feature extraction such as common spatial pattern (CSP) and a classifier using Fisher linear discriminant analysis (FLDA). Two-class EEG motor imagery movement datasets with both cued and uncued are tested to verify its feasibility.

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Multi-scale and Interactive Visual Analysis of Public Bicycle System

  • Shi, Xiaoying;Wang, Yang;Lv, Fanshun;Yang, Xiaohang;Fang, Qiming;Zhang, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3037-3054
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    • 2019
  • Public bicycle system (PBS) is a new emerging and popular mode of public transportation. PBS data can be adopted to analyze human movement patterns. Previous work usually focused on specific scales, and the relationships between different levels of hierarchies are ignored. In this paper, we introduce a multi-scale and interactive visual analytics system to investigate human cycling movement and PBS usage condition. The system supports level-of-detail explorative analysis of spatio-temporal characteristics in PBS. Visual views are designed from global, regional and microcosmic scales. For the regional scale, a bicycle network is constructed to model PBS data, and an flow-based community detection algorithm is applied on the bicycle network to determine station clusters. In contrast to the previous used Louvain algorithm, our method avoids producing super-communities and generates better results. We provide two cases to demonstrate how our system can help analysts explore the overall cycling condition in the city and spatio-temporal aggregation of stations.

적응적 고차 상관 처리를 이용한 차량의 주행 궤적 검출법 (Vehicle Tracing Method Using Adaptive High Order Correlation Analysis)

  • 장경영;오재응;좌등탁송
    • 한국자동차공학회논문집
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    • 제4권3호
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    • pp.73-82
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    • 1996
  • Vehicle movement detection by high order correlation analysis of optical sensor array signals is introduced. The optical sensors observe the road which is assumed to be a non-uniform speckle-like texture. The measurement system is applicable to general robotic movement detection because : 1) It employs a non-contact measurement method, 2) The system can be made very compact, and 3) It enables approximation of the movement trace with a sequence of arcs instead of the conventional connection of simple line segments. In this work, we have looked into estimation of running trace of an autonomous vehicle by observing the ground pattern.

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그래픽 이미지의 움직임 속도와 방향 변화에 따른 시선 이동 추적 연구 (A Study on Eye-Tracking by Speed & Direction Changes of Graphic Images)

  • 김세화;성치경
    • 커뮤니케이션디자인학연구
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    • 제38권
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    • pp.80-90
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    • 2012
  • 본 연구는 그래픽 이미지의 움직임 속도와 움직임 방향 변화에 따라 안구의 시선이동 변화를 추적하여 주의유인정도가 있는지를 알아본 연구이다. 실험설계는 움직임 속성별로, 속도(4개), 방향(수평 2개, 수직 2개, 대각선 4개) 각각에 대해서 움직임 요인(n)에 대한 분석을 실시하였다. 종속변수는 주시시작시간, 주시지속시간, 전체주시시간, 시선이동거리로 설정하였다. 그래픽 이미지의 움직임 속도 변화는 시선이동으로 알아본 주의 정도가 전혀 유의미하지 않았다. 좌우 이동에서는 좌에서 우로의 움직임이, 상하 이동에서는 아래에서 위로의 움직임이 주의 정도가 더 큰 것으로 나타났다. 대각선 이동에서는 속도 변화와 마찬가지로 유의미한 차이가 없었다.

바이오텐세그리티 구조 시스템의 형상 결정 (Shape Finding of Bio-Tensegrity Structural System)

  • 양대현;김미희;강주원;김재열
    • 한국공간구조학회논문집
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    • 제18권2호
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    • pp.25-34
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    • 2018
  • This study investigated a bio-tensegrity structural system that combines the characteristics of a general tensegrity structural system with a biological system. The final research objective is to accomplish a changeability for the structural system as like the movement of the natural bio-system. In the study, we present a shape finding procedure for the two stage bio-tensegrity system model inspired by the movement pattern of animal backbone. The proposed system is allowing a dynamic movement by introducing the concept of "saddle" for the variable bio-tensegrity structure. Several shape finding analysis example and results are presented and shows a efficient validation and suitability.