• Journal of Institute of Control, Robotics and Systems
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• v.10 no.9
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• pp.755-762
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• 2004

In this research, EOG(Electrooculogram) signal was analyzed to predict the subject's intention using a fuzzy classifier. The fuzzy classifier is built automatically using the EOG data and evolutionary algorithms. An assistant robot manipulator in redundant configuration has been developed, which operates according to the EOG signal classification results. For automatic fuzzy model construction without any experts' knowledge, an evolutionary algorithm with the new representation scheme, design of adequate fitness function and evolutionary operators, is proposed. The proposed evolutionary algorithm can optimize the number of fuzzy rules, the number of fuzzy membership functions, parameter values for the each membership functions, and parameter values for the consequent parts. It is shown that the fuzzy classifier built by the proposed algorithm can classify the EOG data efficiently. Intelligent motion planner that consists of several neural networks are used for control of robot manipulator based upon EOG classification results.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.133-141
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• 2006

Recently many wearable computers have been developed. But they still have many user interface problems from both an input and output perspective. This paper presents a wearable user interface based on EOG(electrooculogram) sensing circuit and marker recognition. In the proposed user interface, the EOG sensor circuit which tracks the movement of eyes by sensing the potential difference across the eye is used as a pointing device. Objects to manipulate are represented human readable markers. And the marker recognition system detects and recognize markers from the camera input image. When a marker is recognized, the corresponding property window and method window are displayed to the head mounted display. Users manipulate the object by selecting a property or a method item from the window. By using the EOG sensor circuit and the marker recognition system, we can manipulate an object with only eye movement in the wearable computing environment.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.604-606
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• 1998

As a basic study for Man-Machine interfacing technics, this paper purposed the vertorization of EOG(electrooculogram) that is generated by eye movement. EOG is electric potential difference between the positive potential of cornea and the negative potential of retina. The magnitude and the polarity are depend on the direction of eye movement and degree of gaze angle. In order to vectorize EOG, EOG signal is measured about vertical and horizontal movement of eyes. This vectorization of EOG is expected to help Man-Machine Interfacing technics and development of other useful equipment.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1356-1363
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• 1999

In this paper, a new method for controlling the pointing device using EOG(electrooculogram) signal generated from eye movement was suggested. The basic idea of the method is to control the direction of pointer, as using the results of measuring each component of the horizontal EOG and the vertical EOG by angle of eye-gaze. As a practical example, pointing device controlling the personal computer's pointer is manufactured. The designed pointing device consists of pre-amplifier, A/D converter, serial transmission device and PC program. That is, first, the EOG is amplified by pre-amplifier. Secondly, the amplified EOG is digitized and transmitted to personal computer by PIC16C74A. Finally, the software for controlling the pointer on personal computer is programed. As the result, the measured horizontal EOG and vertical EOG by eye-gaze angle had high linearity; the correlation coefficients of the regression line were 0.998 and 0.996 respectively. And the developed pointing device is able to control the personal computer's pointer, and the average of the errors between the objective value and the observed value had 3.77% for horizontal axis and 5.85% for vertical axis. The pointing device developed in this study is able to control personal computer's pointer by subject's eye movement, that is, the user's intention. Furthermore, the algorithm of this study is applicable for many field, such as a new method remote control, a new wheelchair control and so forth.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1981-1982
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• 2008

뇌파신호 측정 시에는 환자의 움직임 등으로 artifact가 발생하게 된다. 따라서 정확한 진단에는 이와 같은 artifact를 제거하는 것이 중요하다. 본 논문에서는 뇌파신호에서 발생할 수 있는 artifact 중 EOG(Electrooculogram: 안전위도)를 검출하고 제거하기 위한 방법으로 EOG 필터링(EOG filtering)을 제안하며, 나머지 근전도를 제거하기 위해 신경망(neural network)를 사용한다. 이때 입력신호의 특징이 신경망에 보다 잘 적용될 수 있도록 비선형 양자화기를 적응적으로 동작시키는 방법을 제안한다. 제안하는 방법을 통해 뇌파신호의 artifact를 효과적으로 제거할 수 있다.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.477-483
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• 2007

We have measured EOG and fMRI simultaneously to investigate whether eye movement (blinking mechanism) might influence functional magnetic resonance imaging (fMRI) signal response in the primary visual cortex. $T2^*-weighted$ Echo-Planar Imaging (EPI) with concurrent electrooculogram (EOG) was acquired in four subjects while they viewed a fixation point and a checkerboard with a flickering rate of 8Hz. With the help of EOG information we divided the experimental blocks into two different conditions: fixation and moving eye. We have compared the fMRI data of these two conditions. Our results have shown that there is no difference between these two conditions. This might suggest that eye blinking does not affect BOLD signal changes in the primary visual cortex. This means further that eye blinking can be ignored in data processing.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.1-9
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• 2018

A keyboard system for hands-free virtual reality head mounted display using electrooculogram (EOG) signal which occurs during the eye-blinking is proposed. This system consists of display device, gyroscope sensor, gravity sensor and electro-encephalogram (EEG) sensor, and it is implemented with Unity3D engine for system control and graphic processing. If the input language of proposed keyboard system is Korean, i.e. Hangul, the Chonjiin keyboard method is utilized; but for the English spelling, numbers or special characters, $3{\times}4$ keyboard method is used in order to solve the spatial problem. By the implemented method, it can be verified that the user can handle the keyboard input of virtual reality head mounted display with only neck movement and EOG, instead of using hands.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.53-60
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• 2018

This paper describes the experiments of gaze tracking utilizing a low-cost electrooculogram measuring device. The goal of the experiments is to verify whether the low-cost device can be used for a complicated human-computer interaction tool, such as the eye-writing. Two experiments are conducted for this goal: a simple gaze tracking of four directional eye-movements, and eye-writing-which is to draw letters or shapes in a virtual space. Eye-written alphabets were obtained by two PSL-iEOGs and an Arduino Uno; they were classified by dynamic positional warping after preprocessed by a wavelet function. The results show that the expected recognition accuracy of the four-directional recognition is close to 90% when noises are controlled, and the similar median accuracy (90.00%) was achieved for the eye-writing when the number of writing patterns are limited to five. In future works, additional algorithms for stabilizing the signal need to be developed.

• Korean Journal of Applied Biomechanics
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• v.18 no.1
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• pp.39-43
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• 2008

The purpose of this study was to develop EOG system for collecting eye movement patterns to investigate visual function and position and the level of balancing. This small and partable wireless EOG system was enabled to collect stable signals without hindering any kind of sports movement. This system was consist of four parts: amplifier, main process with wireless transmitter, receiver, and display. Three EOG electrodes were used and placed on right(+), left(-) sides of eyes, and between eyes as a reference. This system was possible to measure signals for relatively long duration but the degeneration of electrodes may magnify measurement errors when collecting time was getting longer. Thus, dry electrodes may be applied to the system when long term measurement is needed for future studies.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.845-848
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• 2003

There are many researches on using human neuro-biological signals for various problems such as controlling a mechanical object and/or interfacing human with the computer. It is one of very interesting topics that human can use various instruments without learning specific knowledge if the instruments can be controlled as human intends. In this paper, we proposed an intelligent motion planner for a redundant manipulator, which is controlled by humans neuro-biological signals, especially, EOG (Electrooculogram). We found the optimal motion planner for the redundant manipulator that can move to the desired point. We used neural networks to find the inverse kinematics solution of the manipulator. We also showed the performance of the proposed motion planner with several simulations.