• 디지털콘텐츠학회 논문지
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• 제8권4호
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• pp.441-449
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• 2007

동영상 부호화에서 움직임 추정은 참조 프레임으로부터 현재 프레임의 화소를 추정하는 처리로서 예측 화질과 부호화 시간에 직접적인 영향을 미친다. 본 논문은 고속 움직임 추정을 위해 시공간 움직임 활동도를 이용한 적응형 계층 육각 탐색에 관한 것이다. 제안된 방법은 현재의 매크로블록에 시공간적으로 인접한 매크로블록들의 움직임 벡터를 이용하여 시공간 움직임 활동도를 정의한다. 이렇게 정의한 시공간 움직임 활동도가 낮을 경우 기존의 적응형 육각 탐색을 수행하고, 그렇지 않을 경우, 웨이블렛 변환의 다단계 저주파 부영상들로 구성된 다단계 계층 공간상에서 계층 육각 탐색을 수행한다. 본 논문에서는 서로 다른 움직임 특성을 갖는 복수의 동영상 시퀀스들에 대한 컴퓨터 시뮬레이션 결과를 토대로 예측 화질과 연산 시간 측면에서 제안된 방법의 성능을 분석.평가하였다. 실험 결과는 제안된 방법이 작은 움직임 탐색과 큰 움직임 탐색에 모두 적합함을 보여주고 있다. 제안된 방법은 고속 움직임 탐색이 가능한 적응형 육각 탐색의 장점을 유지하면서도 시공간 움직임 활동도가 높은 비디오 시퀀스에서 야기되는 국부 최소 문제를 적응적으로 경감할 수 있었다.

• 한국운동역학회지
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• 제21권2호
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• pp.181-187
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• 2011

The purpose of this study was to identify major factors on pirouette in ballet, and especially angle, Center of Mass(CM) & muscle activity aspects. The data were collected by using Motion Analysis System with 12 cameras to analyze kinematic variables with 120 Hz and Electromyography(EMG; 4,000 Hz) & Force Platform(1,000 Hz) to analyze kinetic variables. The subjects of this study were 8 female ballet dancers. The results as follow. First of all, full extension of knee joint and full plantar flexion of ankle joint appeared at the similar point. Secondly, in the rotational phase, total movement of segments in Good motion is smaller than that of Bad motion(in Good motion, head movement 2.70 cm, right shoulder movement 0.72 cm, left shoulder 4.26 cm, left wrist 17.4 mm smaller than Bad motion). Third, CoP distance of Good motion is 11.76 mm, and CoP distance of Bad motion is 11.76 mm, so Good motion is 5.98 mm smaller). Lastly, Pirouette need more retus femur activity than gastrocnemius activity in extention phase and rotation phase of support leg.

• PNF and Movement
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• 제20권1호
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• pp.51-58
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• 2022

Purpose: The purpose of this study was to investigate the effect of thoracic-lumbar dissociation motion and slump motion on thoracic-lumbar erector spinae and rectus abdominis muscle activity. Methods: Seventeen healthy adult volunteers participated in this study. All participants performed two motions (thoracic-lumbar dissociation motion, slump motion). Muscle activation during the two motions was measured using a surface electromyography device. The data from this were collected from the iliocostalis thoracis, iliocostalis lumborum, and rectus abdominis. The activities of these muscles before and after each motion were then compared. Results: The iliocostalis thoracis activation was significantly greater during the thoracic-lumbar dissociation motion than during the slump motion (p <0.05). The iliocostalis lumborum activation was greater during the slump motion than during the thoracic-lumbar dissociation motion (p <0.05). The rectus abdominis activation was lesser during the slump motion than during the thoracic-lumbar dissociation motion (p <0.05). Conclusion: This study confirmed that individual contraction of the erector spinae muscles is possible during thoracic-lumbar dissociation motion, which increases the stability of the thoracic spine. In addition, this motion could improve control of the rectus abdominis. Therefore, thoracic-lumbar dissociation motion should be considered for rehabilitation programs for patients with kyphosis and back pain.

• 방송공학회논문지
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• 제18권3호
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• pp.342-348
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• 2013

본 논문에서는 적응적인 확장 블록을 사용하는 프레임율 증강 기법인 AEBME (Adaptive Extended Bilateral Motion Estimation)을 제안하고자 한다. 기존의 EBME (Extended Bilateral Motion Estimation) 알고리듬은 동일한 구역에 두 번의 움직임 예측을 수행함으로 인해 높은 계산량이 요구되었다. 본 논문에서는 영상의 edge 정보를 활용한 블록 유형의 일치 유무를 고려하여 EBME 수행여부를 결정함으로써 움직임 예측 과정을 보다 빠르게 수행하도록 하였다. 움직임 벡터 평활화 과정이 적용되어 움직임 벡터 필드 내의 이상 벡터를 찾아 수정한다. 최종적으로 OBMC (Overlapped Block Motion Compensation)와 MCFI (Motion Compensated Frame Interpolation)이 프레임 움직임의 성질에 따라 적용되어 중간 프레임을 보간하게 된다. 실험 결과를 통해 제안하는 알고리듬이 기존의 알고리듬인 EBME에 비해 향상된 성능과 빠른 속도를 보임을 알 수 있다.

• The Journal of Korean Physical Therapy
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• 제34권2호
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• pp.63-67
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• 2022

Purpose: The purpose of this study was to investigate the effect of assistance tools such as gym balls, wedges, and straps on lower extremity muscle activity and the increase in the range of motion made possible by the use of these tools. The subjects were divided into two groups: a group capable of deep-squatting (PS) and the second finding it impossible or having difficulty in performing such squats (IS). Methods: Twenty-three subjects participated in this study. Surface electromyography was used to measure the muscle activation of the rectus femoris (RF), vastus medialis (VM), and tibialis anterior (TA) muscles during deep squats, normal squats (NS), gym ball squats (GS), wedge squats (WS), and strap squats (SS). A motion analysis system was used to measure the range of motion of the knee joint during each of these exercises. Results: There was a significant difference in the RF muscle activity between the possible squat (PS) and the impossible squat (IS) groups in the GS, and there were significant differences in the RF and TA muscle activity between the groups in the WS. Both the PS group and the IS group showed a significant difference in the TA muscle activity depending on the tool used. There were also significant differences in the range of motion of the knee joints between the intervention methods using NS and those using the tools. Conclusion: In both groups, the muscle activity of the TA muscles was lower when GS, WS, and SS were performed compared to NS. In addition, compared to NS, the range of motion of the knee joint increased when the three tools were used. This study shows that the activity of the RF, VM, and TA muscles decreased and the range of motion of the knee joint increased during deep squats for both the PS and IS groups when tools were used.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권7호
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• pp.3599-3619
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• 2019

In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.

• PNF and Movement
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• 제21권3호
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• pp.319-326
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• 2023

Purpose: The purpose of this study was to investigate the effects of modified ankle movement patterns on participants' active dorsiflexion range of motion and leg muscle activity. Methods: This study recruited twenty-five participants, all of whom were healthy individuals with no abnormalities in the ankle or knee joints. The research methodology involved measuring the active dorsiflexion range of motion and muscle activity in each person's legs based on the presence or absence of toe extension while the subjects were in a comfortable, supine position. A statistical analysis was conducted using SPSS 25.0, and a paired samples t-test was employed. The significance level was set at 0.05. Results: When the participants demonstrated the modified ankle movement pattern with a controlled toe grip, there was an increase in their active dorsiflexion angle. However, during the proprioceptive neuromuscular facilitation technique without a controlled toe grip, a higher level of activity was observed in the leg muscles. Conclusion: The results of this study could be used as foundational data for establishing a rehabilitation exercise program designed to enhance range of motion and muscle activation in the ankle joint.

• 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

• 한국응용과학기술학회지
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• 제35권3호
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• pp.905-913
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• 2018

본 연구는 필라테스 동작 시 폼롤러의 적용과 움직임에 따른 몸통과 하지의 근활성도 차이를 알아보는 것이 목적이다. 피험자로 남자 8명을 선정하여 필라테스 네발자세, 교각자세, 코어컨트롤 동작을 매트위에서 정적동작, 폼롤러 위에서 정적동작, 폼롤러 위에서 동적동작으로 무선배정하여 1주 간격으로 수행하였다. 각 동작의 수행 시 척추세움근, 배곧은근, 배바깥빗근, 중간볼기근, 넙다리두갈래근과 넙다리곧은근의 근활성도를 측정하여 일원분산분석으로 분석하였다. 유의수준은 ${\alpha}=.05$로 설정하였다. 첫째, 네발기기 동작에서 폼롤러 동적동작에서는 배곧은근, 배바깥빗근, 중간볼기근, 넙다리두갈래근의 근활성도가 높게 나타났으며(p<.001)(p<.05), 폼롤러 정적동작에서는 넙다리곧은근의 근활성도가 높게 나타났다(p<.001). 둘째, 교각자세 동작에서 폼롤러 동적동작에서는 넙다리두갈래근의 근활성도가 높게 나타났다(p<.001). 셋째, 코어컨트롤 동작에서 폼롤러 동적 동작에서는 배곧은근, 척추세움근, 중간볼기근의 근활성도가 높게 나타났으며(p<.001)(p<.01), 정적 동작에서는 배바깥빗근의 근활성도가 높게 나타났다(p<.05). 필라테스 운동시 근활성도를 고려하여 방법과 난이도를 적용하면 더욱더 효과적일 것이라 사료된다.

• PNF and Movement
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• 제20권3호
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• pp.341-349
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• 2022

Purpose: The purpose of this study is to compare the muscle activity of the hip abductors and the ratio between the hip abductor muscle group according to the range of hip abduction during the clam exercise. Methods: This study was conducted on 18 healthy men in their aged 20 to 29 who had not been diagnosed with spine-related diseases. The subjects performed a clam exercise without rotation of the pelvis in a state of 60° hip flexion and 90° knee joint flexion in the side-lying position. Using Myomotion equipment and EMG, the muscle activity of the hip abductor muscles and the activity ratio between the hip abductor muscle group were measured during the clam exercise by dividing the range into initial, mid-range, and terminal sections. Repeated measures analysis of variants was employed to compare the activity and use of hip abductor muscles according to range of motion during the clam exercise. Results: Gluteus medius muscle activation was significantly increased in the comparison of muscle activity in the initial, mid-range, and terminal sections of hip abduction. Tensor fasciae latae muscle activation was significantly increased in the comparison of muscle activity in all range of motion sections as well. The gluteus medius-tensor fasciae latae muscle activation ratio was significantly increased in the terminal section compared to the initial section. Conclusion: The gluteus medius and tensor fasciae latae had higher muscle activities as they approached the terminal section during the clam exercise, and the hip abduction activity ratio of the gluteus medius and tensor fasciae latae was higher as the range of motion approached the terminal section.