• 한국전문물리치료학회지
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• 제18권2호
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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.

• 제어로봇시스템학회논문지
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• 제20권6호
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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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• 제12권2호
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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.

• 대한물리의학회지
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• 제8권2호
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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.

• 대한임베디드공학회논문지
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• 제13권1호
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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.

• 예술경영연구
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• 제56호
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• pp.5-38
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• 2020

본 연구는 문화기반 마을공동체가 어떻게 고유의 공동체 문화를 형성하고, 지속가능한 성숙한 공동체가 되는지 파악하기 위해 정책대상자의 인식, 정서, 역량에 대해 살펴보았다. 공동체의 개념, 공동체 성장요인 및 성장단계, 문화활동, 그리고 정책 집행이론에 대한 선행연구를 살펴보고, 문화기반 마을공동체 사업에 적합한 정책집행 분석모형을 도출하였다. 연구방법은 질적사례연구방법을 채택하였고, 연구대상은 안산 사동 '감골주민회', 안산 대부동 '상동공동체', 안동 신세동 '그림애문화마을'로 문화기반 마을공동체의 성공사례를 선정하였다. 심층인터뷰와 문헌분석, 직접관찰을 통해 얻은 자료를 로버트 인(2009)이 제시한 패턴매칭, 사례통합 분석기법을 활용하여 분석하였다. 연구결과는 첫째, 정책대상자는 공동체 활동을 통해 신뢰와 정서적 친밀감, 소속감을 느끼는 정서적 변화를 겪으며, 지역에 대한 애착심이 향상되었다. 둘째, 정책대상자의 공동체 의식과 공동체 역량이 성장에 중요한 요인으로 나타났다. 공동체 활동을 통해 참여유도, 상호교류, 역량강화, 파트너쉽의 단계를 거치며 성장해나가고 있음을 알 수 있었다. 셋째, 다양한 창의적 문화활동을 통해 스스로를 표현하면서 자신을 재발견하고, 타인과 소통하면서 마을공동체의 공통적 고민과 사회적 문제를 해결하는 경험을 하는 것으로 나타났다. 본 연구는 문화기반 마을공동체에 대한 생태학적 접근 연구를 기반으로 정책집행 분석 모형을 도출하였고, 문화기반 마을공동체의 사례를 분석하여 공동체의 성장 방향성과 실천적 함의를 제시하였다.