• Physical Therapy Korea
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• v.18 no.2
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• pp.27-34
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• 2011

The aim of this study was to determine the effect of action-observation training on arm function in people with stroke. Fourteen chronic stroke patients participated in action-observation training. Initially, they were asked to watch video that illustrated arm actions used in daily activities; this was followed by repetitive practice of the observed actions for 3 times a week for 3 weeks. Each training session lasted 30 min. All subject participated 12 training session on 9 consecutive training days. For the evaluation of the clinical status of standard functional scales, Wolf motor function test was carried out at before and after the training and at 2 weeks after the training. Friedman test and Wilcoxon signed rank test was used to analyze the results of the clinical test. There was a significant improvement in the upper arm functions after the 3-week action-observation training, as compared to that before training. The improvement was sustained even at two weeks after the training. This result suggest that action observation training has a positive additional impact on recovery of stroke-induced motor dysfunctions through the action observation-action execution matching system, which includes in the mirror neuron system.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.6
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• pp.606-611
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• 2014

The understanding of another's behavior is a fundamental cognitive ability for primates including humans. Recent neuro-physiological studies suggested that there is a direct matching algorithm from visual observation onto an individual's own motor repertories for interpreting cognitive ability. The mirror neurons are known as core regions and are handled as a functionality of intent recognition on the basis of imitative learning of an observed action which is acquired from visual-information of a goal-directed action. In this paper, we addressed previous works used to model the function and mechanisms of mirror neurons and proposed a computational model of a mirror neuron system which can be used in human-robot interaction environments. The major focus of the computation model is the reproduction of an individual's motor repertory with different embodiments. The model's aim is the design of a continuous process which combines sensory evidence, prior task knowledge and a goal-directed matching of action observation and execution. We also propose a biologically inspired plausible equation model.

• PNF and Movement
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• v.12 no.2
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• pp.123-132
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• 2014

Purpose: The discovery of mirror neuron system may positively affect functional recovery; therefore, rehabilitation is needed that is practical for use in clinical settings. The purpose of this study was to examine the effect of action observation training on upper motor function in people who had suffered strokes. Methods: Three elderly patients with stroke, aged to years, were recruited from a stroke rehabilitation center. A nonconcurrent, multiple baseline subject approach was taken, with an A-B-A treatment single-subject experimental design, and the experiment was conducted for 3 weeks. The action observation training was repeated 5 times in 5 days during the intervention period. The arm function, including WMFT, BBT, and grip and pinch strength, was evaluated in each subject 5 times during the baseline period, the intervention period, and the baseline regression period. Results: The results of the evaluation for each subject were presented as mean values and video graphs. The WMFT scores of 2 subjects were improved during the intervention period in comparison with the baseline period, and this improvement was maintained even during the regression baseline period. The BBT and the grip and pinch strength were not improved. Conclusion: Based on these results, we suggest that the action observation training for 5 sessions was effective in improving upper limb function of stroke patients but was not effective in improving hand dexterity or grip and pinch strength.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.2
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• pp.271-280
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• 2013

PURPOSE: This study was conducted in chronic hemiplegic patients to examine the effect of the training of the ipsilateral arm that is identical to the model performing movements and the training of the contralateral arm on the function of the arm. METHODS: The subjects were participated total 2 patients(the subject 1 with left hemiplegia and the subject 2 with right hemiplegia). The study was conducted for 4 weeks. The action observation training were repeated 10 times in 10 days during intervention period. The evaluation of the arm function such as BBT, MFT and MAL in the each subject were examined 5 times in the baseline period, 10 times during the intervention period and 5 times during the baseline regression period. RESULTS: The results of the evaluation in each subject were presented as mean values and video graphs. The arm function of the 2 subjects were improved during the intervention period in comparison with the baseline period, and the improvement was maintained even during the regression baseline period. In addition, there were large variation ratio of BBT and MAL (AOU, QOM) in comparison with subject 1. CONCLUSION: According to the results, the action observation training was more effective in improving upper limb function of stroke patients who imitate the performed behavior of paralyed parts on the same side.

• IEMEK Journal of Embedded Systems and Applications
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• v.13 no.1
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• pp.17-24
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• 2018

Military camera equipment has a problem that observability is inferior due to various shaking factors. In this paper, we propose an image stabilization algorithm considering performance and execution time to solve this problem and implemented it in Zynq SoC. We stabilized both the simple shaking in the fixed observation position and the sudden shaking in the moving observation position. The feature of the input image is extracted by the Sobel edge algorithm, the subblock with the large edge data is selected, and the motion vector, which is the compensation reference, is calculated through template matching using the 3-step search algorithm of the region of interest. In addition, the proposed algorithm can distinguish the shaking caused by the simple shaking and the movement by using the Kalman filter, and the stabilized image can be obtained by minimizing the loss of image information. To demonstrate the effectiveness of the proposed algorithm, experiments on various images were performed. In comparison, PSNR is improved in the range of 2.6725~3.1629 (dB) and image loss is reduced from 41% to 15%. On the other hand, we implemented the hardware-software integrated design using HLS of Xilinx SDSoC tool and confirmed that it operates at 32 fps on the Zynq board, and realized SoC that operates with real-time processing.

• Korean Association of Arts Management
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• no.56
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• pp.5-38
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• 2020

This study begins with the question of how culture-based communities can form a community culture and become a community of sustainable development. Based on the concept of community, community development factors and stage of development, cultural activities, and policy implementation theory, policy execution analysis models suitable for culture-based community projects were derived. A qualitative case study method was adopted as a research method, and success stories of culture-based village communities were selected as the 'Gamgol Community' in Sadong, Ansan, 'Sangdong Community' in Daebu-dong, Ansan, and 'Grimae Village' in Sinse-dong, Andong. Through in-depth interviews, literature analysis, and direct observation, the research analysis used pattern matching, explanation, chronicle analysis, and case integration analysis methods presented by Yin (2009). As a result of the study, first, the characteristics of the policy implementation strategy were taking place in the process of step-by-step development. The main factors in the community development phase were the improvement of community consciousness through the emotional change of participants and the change of capacity within the community. Second, it was understood that cultural activities played a major role in strengthening community consciousness and community capacity, and could be understood as various creative activities. Based on the ecological approach study on culture-based community, this study derived the policy execution analysis model, analyzed the case of culture-based village community, presented the direction of development of community and presented practical implications.