• 제목/요약/키워드: repetitive motion

검색결과 127건 처리시간 0.03초

뇌손상 후 상지 운동기능 회복 평가: 임상적 평가 및 운동반응 근전도 분석 (Evaluation of Upper-Limb Motor Recovery after Brain Injury: The Clinical Assessment and Electromyographic Analysis)

  • 김영호;태기식;송성재
    • 한국전문물리치료학회지
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    • 제12권1호
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    • pp.91-99
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    • 2005
  • We assessed whether the use of a symmetrical upper limb motion trainer in daily repetitive training for a 6-week period reduced spasticity and improved motor function in three chronic hemiparetic patients. Upper limb motor impairment and disability were measured by the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS) and Manual Muscle Test (MMT), respectively. The electromyography (EMG) of the affected hand was recorded during isometric wrist flexion and extension. In all patients, FMA and MMT scores were significantly improved after the 6-week training. However, MAS scores of the affected wrist spasticity did not change considerably. Onset and Offset delays in muscle contraction significantly decreased in the affected wrist. The co-contraction ratio of flexor and extensor muscles significantly increased after the 6-week training. Onset and offset delays of the muscle contraction and co-contraction ratio correlated significantly with the patients' FMA. This study showed that repetitive, symmetric movement training can improve upper limb motor functions and abilities in chronic hemiparetic patients. Also, the EMG assessment of motor response is likely to provide insights into mechanisms and treatment strategies for motor recovery in chronic hemiparetic patients.

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움직임 영역간 블록 정합을 이용한 반복적인 움직임 검출 (The Recusive Motion Detection Using Block Matching Between Moving Regions)

  • 고봉수;김장형
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 추계종합학술대회
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    • pp.580-583
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    • 2003
  • 본 논문에서는 반복적인 움직임의 있는 경우, 강건하게 해결 할 수 있는 움직임 검출 알고리즘을 제시한다. 기존에 차 영상을 이용한 움직임 검출방법은 밝기나 잡음에는 어느 정도 강건하지만, 일정 영역에서 동작하는 물체의 반복적인 움직임에 대해서는 움직임으로 오 인식하는 문제점을 자주 발생시킨다. 이러한 문제점을 해결하기 위해 영상에서 반복적인 움직임은 특정 영역 상에서만 움직임의 발생된다는 특징을 이용해, 움직임의 가장 많이 발생한 영역을 움직임 영역으로 설정하고, 블록 정합(Block Matching) 시켜 계산된 평균절대오차(MAE)값을 가지고 문제를 해결하는 방법을 제시한다. 실험 결과 제안된 알고리즘은 다양한 반복적인 움직임에 대해 기존의 방법들에 비해 좋은 결과를 얻을 수 있었다.

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학습을 이용한 로봇 머니퓰레이터용 지능제어 (Intelligent Control of Robot Manipulators by Learning)

  • 이동훈;국태웅;정재욱
    • 제어로봇시스템학회논문지
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    • 제11권4호
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    • pp.330-336
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    • 2005
  • An intelligent control method is proposed for control of rigid robot manipulators which achieves exponential tracking of repetitive robot trajectory under uncertain operating conditions such as parameter uncertainty and unknown deterministic disturbance. In the learning controller, exponentially stable learning algorithms are combined with stabilizing computed error feedforward and feedback inputs. It is shown that all the error signals in the learning system are bounded and the repetitive robot motion converges to the desired one exponentially fast with guaranteed convergence rate. An engineering workstation based control system is built to verify the effectiveness of the proposed control scheme.

다중 구간 샘플링에 기반한 동적 배경 영상에 강건한 배경 제거 알고리즘 (A Robust Background Subtraction Algorithm for Dynamic Scenes based on Multiple Interval Pixel Sampling)

  • 이행기;최영규
    • 반도체디스플레이기술학회지
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    • 제19권2호
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    • pp.31-36
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    • 2020
  • Most of the background subtraction algorithms show good performance in static scenes. In the case of dynamic scenes, they frequently cause false alarm to "temporal clutter", a repetitive motion within a certain area. In this paper, we propose a robust technique for the multiple interval pixel sampling (MIS) algorithm to handle highly dynamic scenes. An adaptive threshold scheme is used to suppress false alarms in low-confidence regions. We also utilize multiple background models in the foreground segmentation process to handle repetitive background movements. Experimental results revealed that our approach works well in handling various temporal clutters.

A Learning Controller for Gate Control of Biped Walking Robot using Fourier Series Approximation

  • Lim, Dong-cheol;Kuc, Tae-yong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.85.4-85
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    • 2001
  • A learning controller is presented for repetitive walking motion of biped robot. The learning control scheme learns the approximate inverse dynamics input of biped walking robot and uses the learned input pattern to generate an input profile of different walking motion from that learnt. In the learning controller, the PID feedback controller takes part in stabilizing the transient response of robot dynamics while the feedforward learning controller plays a role in computing the desired actuator torques for feedforward nonlinear dynamics compensation in steady state. It is shown that all the error signals in the learning control system are bounded and the robot motion trajectory converges to the desired one asymptotically. The proposed learning control scheme is ...

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신경망을 이용한 반복운동 검출 (Detection of Repetition Motion Using Neural network)

  • 유병현;허경용
    • 한국정보통신학회논문지
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    • 제21권9호
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    • pp.1725-1730
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    • 2017
  • 가속도 센서와 자이로스코프 센서는 반복운동 검출을 위해 사용하는 대표적인 센서로써 다양한 운동 성분을 분석하는데 활용되어 왔다. 하지만 이 두 센서는 잡음 민감성과 오차가 누적되는 문제점을 가지고 있다. 이와 같은 하드웨어적인 문제점을 극복하기 위해, 두 센서를 함께 사용하려는 시도가 있어왔고, 상보필터는 가속도 센서와 자이로스코프 센서의 단점은 최소화하고 장점을 극대화함으로써 두 센서가 가지는 문제점을 완화시키는 성공적인 결과를 보여주었다. 이 논문에서는 상보필터에 신경망을 도입함으로써 상보필터로 처리할 수 없는 여러 변수를 사전에 학습을 통하여 생성한 망을 이용해서 처리하는 개선된 방법을 소개한다. 신경망은 다양한 경우의 수를 미리 학습하여 예측하지 못한 환경 혹은 상황에도 정확한 측정이 가능한 알고리듬이다. 제안한 방법은 반복운동을 처음, 중간, 끝 세 개의 영역으로 분류하여 신경망을 적용한다. 그 결과 영역별 인식률은 96.35%, 98.77%, 96.92%이고 이를 바탕으로 측정한 정확도는 97.18%임을 실험을 통해 확인할 수 있다.

항법 기반 웨어러블 스마트 디바이스 동작 카운트 알고리즘 (Navigation based Motion Counting Algorithm for a Wearable Smart Device)

  • 박소영;이민수;송진우;박찬국
    • 제어로봇시스템학회논문지
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    • 제21권6호
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    • pp.547-552
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    • 2015
  • In this paper, an ARS-EKF based motion counting algorithm for repetitive exercises such as calisthenics is proposed using a smartwatch. Raw sensor signals from accelerometers and gyroscopes are widely used for conventional smartwatch counting algorithms based on pattern recognition. However, generated features from raw data are not intuitive to reflect the movement of motions. The proposed motion counter algorithm is composed of navigation based feature generation and counting with error correction. The candidate features for each activity are velocity and attitude calculated through an ARS-EKF algorithm. In order to select those features which reveal the characteristics of each motion, an exercise frame from the initial sensor frame is introduced. Counting processes are basically based on the zero crossing method, and misdetected counts are eliminated via simple classification algorithms considering the frequency of the counted motions. Experimental results show that the proposed algorithm efficiently and accurately counts the number of exercises.

모바일 폰의 반복 사용 시 압력방식에 따라 엄지손가락에 발생하는 힘과 피로에 대한 비교평가 (A Comparative Evaluation about Force and Fatigue on Thumb according to Input Type for Repetitive Use of Mobile Phone)

  • 김철민;박정홍;김광훈;손권
    • 대한의용생체공학회:의공학회지
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    • 제32권4호
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    • pp.312-318
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    • 2011
  • The purpose of study was to evaluate effects for repetitive use of thumb according to two different input types (button and touch) of mobile phones. A total of eight young and healthy subjects (6 males and 2 females: $24.63{\pm}8.04$ years) volunteered, and force measurement on thumb using film type pressure sensor was carried out for an hour. Before the experiment De Quervain's syndrome test were performed to check the left and right muscles related with thumb motion and after measuring the pressing force fatigue feeling survey achieved. For a statistical analysis, 1-to-5 ranking scale was used to score the fatigue feeling. From the result of pressure measurement, forces acting on thumb in button type were 3.36 times (the right thumb) and 3.16 times (the left thumb) for the touch type. And the result of survey, fatigue by using the button type of mobile phone was largely triggered than by using touch type. The abductor pollicis brevis and the flexor pollicis brevis were found as common part of fatigue for repetitively using thumb during texting messages. In the further study, some quantitative fatigue comparisons for various input motions are required to analyze repetitive strain injury syndrome.

Effect of repetitive pecking at working length for glide path preparation using G-file

  • Ha, Jung-Hong;Jeon, Hyo-Jin;Abed, Rashid El;Chang, Seok-Woo;Kim, Sung-Kyo;Kim, Hyeon-Cheol
    • Restorative Dentistry and Endodontics
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    • 제40권2호
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    • pp.123-127
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    • 2015
  • Objectives: Glide path preparation is recommended to reduce torsional failure of nickel-titanium (NiTi) rotary instruments and to prevent root canal transportation. This study evaluated whether the repetitive insertions of G-files to the working length maintain the apical size as well as provide sufficient lumen as a glide path for subsequent instrumentation. Materials and Methods: The G-file system (Micro-Mega) composed of G1 and G2 files for glide path preparation was used with the J-shaped, simulated resin canals. After inserting a G1 file twice, a G2 file was inserted to the working length 1, 4, 7, or 10 times for four each experimental group, respectively (n = 10). Then the canals were cleaned by copious irrigation, and lubricated with a separating gel medium. Canal replicas were made using silicone impression material, and the diameter of the replicas was measured at working length (D0) and 1 mm level (D1) under a scanning electron microscope. Data was analysed by one-way ANOVA and post-hoc tests (p = 0.05). Results: The diameter at D0 level did not show any significant difference between the 1, 2, 4, and 10 times of repetitive pecking insertions of G2 files at working length. However, 10 times of pecking motion with G2 file resulted in significantly larger canal diameter at D1 (p < 0.05). Conclusions: Under the limitations of this study, the repetitive insertion of a G2 file up to 10 times at working length created an adequate lumen for subsequent apical shaping with other rotary files bigger than International Organization for Standardization (ISO) size 20, without apical transportation at D0 level.

Job Hazard Analyses for Musculoskeletal Disorder Risk Factors in Pressing Operations of Dry-cleaning Establishments

  • Park, Jung-Keun
    • Safety and Health at Work
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    • 제7권4호
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    • pp.389-393
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    • 2016
  • Job hazard analyses were conducted to assess exposure to musculoskeletal disorder (MSD) risk factors in seven workers of three dry-cleaning establishments. In accordance with the Washington State Ergonomics Rule, the analyses were performed in two separate steps: (1) observation and checklist approaches were made to identify a "caution zone job" in the seven workers' pressing operations across the three shops; and (2) detailed posture and motion analyses were undertaken to determine a "MSD hazard" in one worker's operation using a video technique. One "caution zone job" was identified and it was the pressing operation job in which five physical risk factors were found in the pressing operations. The detailed analyses confirmed that one "MSD hazard", i.e., awkward posture in shoulders, was prevalent in the pressing operations of the three dry-cleaning facilities. It would be desirable to reduce MSD risk factors including awkward shoulder posture in the dry-cleaning industry.