• 제목/요약/키워드: joint features

검색결과 407건 처리시간 0.023초

만성 발목 불안정성(CAI) 환자와 건강 대조군 간의 발목 관절 복합체 구조적 특징과 목말밑 관절 회전 축 기울기 (The Structural Characteristics of the Ankle Joint Complex and Declination of the Subtalar Joint Rotation Axis between Chronic Ankle Instability (CAI) Patients and Healthy Control)

  • Kim, Chang Young;Ryu, Ji Hye;Kang, Tae Kyu;Kim, Byong Hun;Lee, Sung Cheol;Lee, Sae Yong
    • 한국운동역학회지
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    • 제29권2호
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    • pp.61-70
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    • 2019
  • Objective: This study aimed to investigate the characteristics of the declination of the subtalar joint rotation axis and the structural features of the ankle joint complex such as rear-foot angle alignment and ligament laxity test between chronic ankle instability (CAI) patients and healthy control. Method: A total of 76 subjects and CAI group (N=38, age: $23.11{\pm}7.63yrs$, height: $165.67{\pm}9.54cm$, weight: $60.13{\pm}11.71kg$) and healthy control (N=38, age: $23.55{\pm}7.03yrs$, height: $167.92{\pm}9.22cm$, weight: $64.58{\pm}13.40kg$) participated in this study. Results: The declination of the subtalar joint rotation axis of the CAI group was statistically different from healthy control in both sagittal slope and transverse slope. The rear-foot angle of CAI group was different from a healthy control. Compared to healthy control, they had the structure of rear-foot varus that could have a high occurrence rate of ankle varus sprain. CAI group had loose ATFL and CFL compared to the healthy control. Conclusion: The results of this study showed that the deviation of the subtalar joint rotation axis and the structural features of the ankle joint complex were different between the CAI group and the healthy control and this difference is a meaningful factor in the occurrence of lateral ankle sprains.

자동 얼굴인식을 위한 얼굴 지역 영역 기반 다중 심층 합성곱 신경망 시스템 (Facial Local Region Based Deep Convolutional Neural Networks for Automated Face Recognition)

  • 김경태;최재영
    • 한국융합학회논문지
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    • 제9권4호
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    • pp.47-55
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    • 2018
  • 본 논문에서는 얼굴인식 성능 향상을 위해 얼굴 지역 영역 영상들로 학습된 다중개의 심층 합성곱 신경망(Deep Convolutional Neural Network)으로부터 추출된 심층 지역 특징들(Deep local features)을 가중치를 부여하여 결합하는 방법을 제안한다. 제안 방법에서는 지역 영역 집합으로 학습된 다중개의 심층 합성곱 신경망으로부터 추출된 심층 지역 특징들과 해당 지역 영역의 중요도를 나타내는 가중치들을 결합한 특징표현인 '가중치 결합 심층 지역 특징'을 형성한다. 일반화 얼굴인식 성능을 극대화하기 위해, 검증 데이터 집합(validation set)을 사용하여 지역 영역에 해당하는 가중치들을 계산하고 가중치 집합(weight set)을 형성한다. 가중치 결합 심층 지역 특징은 조인트 베이시안(Joint Bayesian) 유사도 학습방법과 최근접 이웃 분류기(Nearest Neighbor classifier)에 적용되어 테스트 얼굴영상의 신원(identity)을 분류하는데 활용된다. 제안 방법은 얼굴영상의 자세, 표정, 조명 변화에 강인하고 기존 최신 방법들과 비교하여 얼굴인식 성능을 향상시킬 수 있음이 체계적인 실험을 통해 검증되었다.

절리면 거\ulcorner각의 손상을 고려한 개별체 절리 유한요소 (An Isoparmetric Kiscrete Joint Element with Joint Surface Degradation)

  • 이연규;이정인
    • 터널과지하공간
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    • 제7권1호
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    • pp.20-30
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    • 1997
  • A discrete joint finite element with joint surface degradation was developed to investigate the shear behavior of rough rock joint. Isoparametric formulation was used for facilitating the implementation of the element in existing Finite Element Codes. The elasto-plastic joint deformation model with the discontinuity constitutive law proposed by Plesha was applied to the element. The reliability of the developed finite element code was successfully testified through numerical direct shear tests conducted under both constant normal stress and constant normal displacement conditions. The result of the numerical direct shear test showed that the code can capture characteristic deformation features envisaged in the direct shear test of rough rock joint.

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인대 구조에 기인한 유연 경첩 관절의 설계 (Design of Compliant Hinge Joints inspired by Ligamentous Structure)

  • 이건;윤덕찬;최영진
    • 로봇학회논문지
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    • 제14권4호
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    • pp.237-244
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    • 2019
  • This paper suggests novel types of joint mechanisms composed of elastic strings and rigid bodies. All of the human hinge joints have the articular capsule and a pair of collateral ligaments. These fibrous tissues make the joint compliant and stable. The proposed mechanism closely imitates the human hinge joint structure by using the concept of tensegrity. The resultant mechanism has several characteristics shown commonly from both the tensegrity structure and the human joint such as compliance, stability, lightweight, and non-contact between rigid bodies. In addition, the role and feature of the human hinge joints vary according to the origins of a pair of collateral ligaments. Likewise, the locations of two strings corresponding to a pair of collateral ligaments produce different function and motion of the proposed mechanism. It would be one of the advantages obtained from the proposed mechanism. How to make a joint mechanism with different features is also suggested in this paper.

국내에서 분리된 Borrelia burgdorferi Sensu Lato의 병원성 연구 (Study on Pathogenicity of Borrelia burgdorferi Sensu Lato Isolated in Korea)

  • 박경희;임정아;김종현;박의우
    • 대한미생물학회지
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    • 제34권5호
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    • pp.471-478
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    • 1999
  • Spirochetes were isolated from the midgut of Ixodes persulcatus ticks captured at Chungju, Korea and identified as Borrelia afzelii strains by polymerase chain reaction. To determine the pathogenicity of the B. afzelii strains isolated in Korea, the microbiological and pathological features of Lyme disease were observed in C3H/He mice after intraperitoneal inoculation of the fresh isolate of B. afzelii strain. The results are summarized as follows 1) The Borrelia were detected in the tissues of heart, spleen, kidney, urinary bladder and knee joint within 7 days after inoculation of infection by dark field microscopic examination. The isolation rate from heart, urinary bladder and joint was significantly higher than the rate from spleen, kidney, and blood samples. 2) The Borrelia was detected in heart muscle by indirect immunofluorescent antibody test. 3) Antibody to the Borrelia was detected as early as one week after inoculation. 4) The marked tropism of the Borrelia was observed in myocardial, urinary tract and joint tissue. The main pathological features are inflammation in tissues of heart, kidney, joint and urinary bladder. From these results, the Borrelia afzelii strain isolated in Korea were determined as pathogenic strain.

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On low cost model-based monitoring of industrial robotic arms using standard machine vision

  • Karagiannidisa, Aris;Vosniakos, George C.
    • Advances in robotics research
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    • 제1권1호
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    • pp.81-99
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    • 2014
  • This paper contributes towards the development of a computer vision system for telemonitoring of industrial articulated robotic arms. The system aims to provide precision real time measurements of the joint angles by employing low cost cameras and visual markers on the body of the robot. To achieve this, a mathematical model that connects image features and joint angles was developed covering rotation of a single joint whose axis is parallel to the visual projection plane. The feature that is examined during image processing is the varying area of given circular target placed on the body of the robot, as registered by the camera during rotation of the arm. In order to distinguish between rotation directions four targets were used placed every $90^{\circ}$ and observed by two cameras at suitable angular distances. The results were deemed acceptable considering camera cost and lighting conditions of the workspace. A computational error analysis explored how deviations from the ideal camera positions affect the measurements and led to appropriate correction. The method is deemed to be extensible to multiple joint motion of a known kinematic chain.

악관절내장환자에서 교합관계와 두경부자세의 임상적 양상에 관한 연구 (Clinical Features Related to Occlusion and Head and Neck Posture in Patients with Internal Derangement of Temporomandibular Joint)

  • 정호인;한경수;이규미
    • Journal of Oral Medicine and Pain
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    • 제23권2호
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    • pp.127-141
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    • 1998
  • This study was performed to investigate the clinical features of internal derangement of temporomandibular joint. For this study, 117 patients with temporomandibular disorders and 81 dental students without any signs and symptoms of temporomandibular disorders were selected as the patients group and as the control group, respectively. Preferred chewing side, Angle's classification, lateral guidance pattern, maximal mouth opening range, and affected side were recorded clinically. Head and shouldeer posture was measured in a groundplate on which square diagram of five centimeters each had been drawn, and cephalograph was also taken for measurement of head and neck posture. Sonopak of Biopak system (Bioresearch inc., USA) was used to record joint vibration for evaluation of internal healthy status of temporomandibular joint. The data collected were analyzed by SAS statistical program. The results of this study were as follows : 1. Frequency of left side chewing subjects was higher in patients than in control group, but there was no difference in distribution of subjects by Angle's classification. Other types was prvalent in patients whereas group function was more in control group for lateral guidance pattern. 2. As to lateral guidance pattern by clinical diagnosis, patients with internal derangement and/or degenerative joint disease showed higher frequency was consistent with the result by Sonopak impression. 3. There was no difference for shoulder height between the two groups, however, tilting of head and backward extension of cervical spine was more frequent in control group. 4. Acromion was positioned more anteriorly in patients with internal derangement and/or degenerative joint disease than in control group and angle between eye and tragus was larger in patients. Patients with degenerative joint disease showed more flexed head posture than control group did in cephalometric profile. 5. Maximal mouth opening range in patients with internal derangement was the least in all subgroups in patients classified by Sonopak impression.

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관절의 시·공간적 관계를 고려한 딥러닝 기반의 행동인식 기법 (Deep learning-based Human Action Recognition Technique Considering the Spatio-Temporal Relationship of Joints)

  • 최인규;송혁
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.413-415
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    • 2022
  • 인간의 관절은 인간의 신체를 구성하는 요소로 인간의 행동을 분석하는데 유용한 정보로 활용될 수 있기 때문에 관절 정보를 이용한 행동인식에 대한 많은 연구가 진행되었다. 하지만 각각의 독립적인 관절 정보만을 이용해서 시시각각 변화하는 인간의 행동을 인식하는 것은 매우 복잡한 문제이다. 따라서 학습에 사용할 부가적인 정보 추출 방법과 과거의 상태를 기반으로 현재 상태를 판단하는 고려하는 알고리즘이 필요하다. 본 논문에서는 연결된 관절들의 위치 관계와 각 관절의 위치가 시간의 흐름에 따라 변화하는 것을 고려한 행동 인식 기법을 제안한다. 사전 학습된 관절 추출 모델을 이용하여 각 관절의 위치 정보를 획득하고 연결된 관절 사이의 차 벡터를 이용하여 뼈대 정보를 추출한다. 그리고 두 가지 형태의 입력에 맞춰 간소화된 신경망을 구성하고 LSTM을 더하여 시·공간적 특징을 추출하도록 한다. 9개의 행동으로 구성된 데이터 셋을 이용하여 실험한 결과 각 관절 및 뼈대의 시·공간적 관계 특징을 고려하여 행동 인식 정확도를 측정하였을 때 단일 관절 정보만을 이용한 결과에 비해 뛰어난 성능을 보임을 확인하였다.

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Clinical assessment and grading of back pain in horses

  • Mayaki, Abubakar Musa;Razak, Intan Shameha Abdul;Adzahan, Noraniza Mohd;Mazlan, Mazlina;Rasedee, Abdullah
    • Journal of Veterinary Science
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    • 제21권6호
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    • pp.82.1-82.10
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    • 2020
  • Background: The clinical presentation of horses with back pain (BP) vary considerably with most horse's willingness to take part in athletic or riding purpose becoming impossible. However, there are some clinical features that are directly responsible for the loss or failure of performance. Objectives: To investigate the clinical features of the thoracolumbar region associated with BP in horses and to use some of the clinical features to classify equine BP. Methods: Twenty-four horses comprised of 14 with BP and 10 apparently healthy horses were assessed for clinical abnormality that best differentiate BP from normal horses. The horses were then graded (0-5) using the degree of pain response, muscular hypertonicity, thoracolumbar joint stiffness and overall physical dysfunction of the horse. Results: The common clinical features that significantly differentiate horses with BP from non-BP were longissimus dorsi spasm at palpation (78.6%), paravertebral muscle stiffness (64.3%), resist lateral bending (64.3%), and poor hindlimb impulsion (85.7%). There were significantly (p < 0.05) higher scores for pain response to palpation, muscular hypertonicity, thoracolumbar joint stiffness and physical dysfunction among horses with BP in relation to non-BP. A significant relationship exists between all the graded abnormalities. Based on the cumulative score, horses with BP were categorized into mild, mild-moderate, moderate and severe cases. Conclusions: BP in horse can be differentiated by severity of pain response to back palpation, back muscle hypertonicity, thoracolumbar joint stiffness, physical dysfunctions and their cumulative grading score is useful in the assessment and categorization of BP in horses.

JointBoost 알고리즘을 이용한 기울어진 얼굴 검출 (Inclined Face Detection using JointBoost algorithm)

  • 정윤호;송영모;고윤호
    • 한국멀티미디어학회논문지
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    • 제15권5호
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    • pp.606-614
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    • 2012
  • AdaBoost 알고리즘을 이용한 얼굴 검출 방법은 가장 빠르고 신뢰성 있는 얼굴 검출 알고리즘의 하나로 이를 향상하거나 확장한 많은 알고리즘들이 제안되었다. 그러나 이전의 접근들은 대부분 정면 얼굴만을 다루고 있고 AdaBoot 알고리즘을 정면과 기울어진 얼굴에 동일한 특징으로 적용함으로써 기울어진 얼굴에 대한 분별 성능이 제한적이었다. 또한 회전된 얼굴을 검출하기 위하여 입력된 영상을 회전하여 정면 얼굴 검출 방법을 적용하거나 회전된 각도에 따라 다른 검출기를 적용하는 기존 기법들은 연산량이 많고 검출률이 저하되는 문제를 가지고 있다. 본 논문에서는 이러한 문제를 극복하기 위해 JointBoost를 이용한 기울어진 얼굴 검출 방법을 제안한다. JointBoost를 통해 클래스간의 공유된 feature들를 찾음으로써 연산량과 샘플 복잡도를 감소시켰다. 실험 결과를 통해 제안된 방법의 검출률이 동일한 반복 횟수를 가지는 학습에서 기존의 AdaBoost 기법에 비해 2% 이상 우수함을 보인다. 또한 제안된 방법은 얼굴의 존재를 검출할 뿐만 아니라 기울어진 방향에 대한 정보도 제공할 수 있다.