• 대한물리의학회지
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• 제10권4호
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• pp.59-68
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• 2015

PURPOSE: The purpose of this study was to determine the comparison of visual and auditory biofeedback during sit-to-stand training in patients with stroke. METHODS: Thirty-five subjects with chronic stroke were divided into three groups: a visual feedback group (12 subjects), an auditory feedback group (12 subjects) and a control group (11 subjects). All Groups received neurodevelopmental treatment, and sit-to-stand training for 30minutes three times a week for four weeks. During the sit to stand training, the experimental groups received visual feedback and auditory feedback, whereas the control group performed sit-to-stand training without feedback. Five times sit-to-stand test (FTSST), motion analysis and postural sway during sit-to-stand were used to evaluate sit to stand performance ability. In addition, Berg balance scale (BBS) was performed for evaluation of balance function in participants. RESULTS: All groups showed significant increase on FTSST and BBS between pre- and post-intervention. The BBS scores in visual feedback group was significant increase than control group. The motion analysis and postural sway, more improvement was observed in the visual and auditory feedback groups compared with the control group. The only visual feedback group was a better performance of midline excursion during sit-to-stand than control group. CONCLUSION: These findings suggest that sit-to-stand training using a biofeedback may help to improve sit to stand performance and balance ability of stroke patients.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.577-578
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• 2010

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1233-1240
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• 2010

In the flat panel display and semiconductor industries, the visual alignment system is considered as a core technology which determines the productivity of a manufacturing line. It consists of the vision system to extract the centroids of alignment marks and the stage control system to compensate the alignment error. In this paper, we develop a Kalman filter algorithm to estimate the alignment mark postures and propose a coarse-fine alignment control method which utilizes both original fine images and reduced coarse ones in the visual feedback. The error compensation trajectory for the distributed joint servos of the alignment stage is generated in terms of the inverse kinematic solution for the misalignment in task space. In constructing the estimation algorithm, the equation of motion for the alignment marks is given by using the forward kinematics of alignment stage. Secondly, the measurements for the alignment mark centroids are obtained from the reduced images by applying the geometric template matching. As a result, the proposed Kalman filter based coarse-fine alignment control method enables a considerable reduction of alignment time.

• 전자공학회논문지SC
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• 제43권1호
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• pp.13-20
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• 2006

본 논문에서는 로봇 말단부에 장착된 카메라 환경에서 시각 궤환을 이용하는 로봇 매니퓰레이터의 자세제어 기법을 제안한다. 자세제어를 위한 기준 관절 속도와 관절 가속도는 외부루프의 특징점을 이용한 영상정보에서 생성된다. 영상평면상에서 특징점을 추종하기 위한 제어 입력은 로봇 동역학을 사용하였다. 영상평면상의 특징점과 관절 각속도 오차를 로봇 구동을 위한 제어입력에 포함시켜 파라미터 불확실성에 강인하도록 하였다. 시스템의 안정도는 Lyapunov 안정도 판별법을 이용하여 입증하였다. 제안된 제어기의 성능은 5-링크 2 자유도를 가지는 로봇에 대한 컴퓨터 시뮬레이션과 실험을 통해 검증하였다.

• PNF and Movement
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• 제8권2호
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• pp.17-24
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• 2010

Purpose : The purpose of present study was to determine effects of a visual feedback training on balance ability in poststroke hemiparetic subjects. Methods : Fourteen chronic stroke patients participated. Participants were randomly divided into either visual feedback training group(7 experimental group, 7 control group). All of participated were inpatients at local rehabilitation center and had been receiving a traditional rehabilitation program, five days a week. Exprimental group have additionally undergone for four weeks, three days a week, the visual feedback training but control group was not received any additional program except the traditional rehabilitation program. The Berg Balance Scale(BBS), the FICSIT-4, the MTD-balance system to measure a balance ability were carried out twice before and after training. Results : After participation in the program, subjects of visual feedback training demonstrated a significant improvement in the scores of the BBS, the FICSIT-4, the MTD-Balance system. The control group had no change on the any tests. After the training, the result to improve significantly in visual feedback training group compared to post-test of control group were the score of BBS and the FICSIT-4 and the MTD-Balance system. Conclusions : The present study suggests that the visual feedback training program may become a useful strategy for enhancing balance ability in the rehabilitation of stroke patiens.

• 한국컴퓨터정보학회논문지
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• 제21권5호
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• pp.127-133
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• 2016

In this paper, an intelligent dimming control system is designed and implemented with the human visual response function using CDS sensor, PIR sensor and temperature sensor, etc. The proposed system is designed to detect a moving object by PIR sensor and to control the LED dimming considering the human visual response. Also, the dimming of LED light can modulate on the app, and simultaneously control dimming in real-world environments with smart phone app. A high-temperature warning or a fire hazard information is transmitted to user's smart phone according to sensor values and Data graph are provided as part of data visualization. Connecting the hardware controller, the proposed intelligent smart dimming control system is expected to contribute to the power reduction interior LED, smart grid building and saving home combining with internet of things.

• 제어로봇시스템학회논문지
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• 제12권3호
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• pp.294-299
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• 2006

This paper studies a visual feedback control scheme for robot manipulators with camera-in-hand configurations. We design a robust controller that compensates for bounded parametric uncertainties of robot mechanical dynamics. In order to reduce steady state tracking error of the robot arms due to uncertain dynamics, integral action is included in the control input. Using the Lyapunov stability criterion, the uniform ultimate boundedness of the tracking error is proved. Simulation and experimental results with a 2-1ink robot manipulator illustrate the robustness and effectiveness of the proposed control algorithm.

• International Journal of Control, Automation, and Systems
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• 제5권1호
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• pp.51-60
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• 2007

This paper describes a visual tracking control law of an Unmanned Aerial Vehicle(UAV) for monitoring of structures and maintenance of bridges. It presents a control law based on computer vision for quasi-stationary flights above a planar target. The first part of the UAV's mission is the navigation from an initial position to a final position to define a desired trajectory in an unknown 3D environment. The proposed method uses the homography matrix computed from the visual information and derives, using backstepping techniques, an adaptive nonlinear tracking control law allowing the effective tracking and depth estimation. The depth represents the desired distance separating the camera from the target.

• KIEAE Journal
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• 제10권6호
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• pp.33-39
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• 2010

Visual Environment and productivity are correlated. So we need to create a comfortable visual environment and maintain proper workplane illumination level. We can obtain lighting energy savings and comfortable visual environment using daylight and LED lights. In this study, we characterized the indoor illuminance level according to the sky condition and proposed dimming control strategy of LED lights. Energy savings in On/Off control mode are 40% at clear sky and 28% at intermediate sky. In dimming control mode, energy savings are 77.2% at clear sky and 64.1% at intermediate sky. Then we obtain the appropriate dimming control strategy of LED lights based on data. Dimming rates are 0-14.2-80(min-avg-max, %) for LED 1, 0-19.9-60% for LED 2 and 30-61.4-90% for LED 3. Lighting energy savings are 68.2% for LED dimming system applied this control method.

• 대한통합의학회지
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• 제8권4호
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• pp.213-221
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• 2020

Purpose : This study aimed to evaluate the changes in visual perception and daily life activities after simultaneously applying the visual perception training program and transcranial DC stimulation. Particularly, this study tried to understand what changes in abilities among daily life activities influenced cognition. Methods : This study selected 50 dementia patients to achieve the objective. This study applied transcranial DC stimulation and a visual perception training program to a treatment group (n=25) and a visual perception training program to a control group (n=25). The intervention was applied five times per week and 30 minutes per session (total of 30 intervention sessions). This study measured visual perception functions and daily life activities using MVPT and FIM before and after applying the intervention. Results : The visual perception, mobility of daily life activities, cognition, and total score of the treatment group (n=25), which received the visual perception training program and transcranial DC at the same time, were significantly (p<.05) different between before and after the intervention. Moreover, when the visual perception and daily life activities of the treatment group and those of the control group after implementing the intervention were compared, they were significantly (p<.05) different between the two groups. Conclusion : The results of this study showed that the simultaneous application of the visual perception training program and transcranial DC stimulation was an effective means to enhance the visual perception and daily life activities of dementia patients. The results implied that transcranial DC stimulation, as well as the application of visual perception training program, as well as a visual perception training program, was effective for improving the visual perception functions and daily life activities dementia patients and simultaneous application of the two interventions would increase the effect even further.