• Korean Journal of Cognitive Science
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• v.34 no.2
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• pp.67-84
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• 2023

In this study, Korean older adults (70-75 yrs) were divided into two groups according to the degree of reading exposure, and real-time data were collected through a reading eye movement tracking experiment. Then, overall reading patterns and word frequency ef ects were compared with two groups of older adults and younger adults (20-28 yrs). Furthermore, through the results of the eye movement tracking experiment of older adults with rich reading exposure and older adults with poor reading exposure, we tried to find out whether reading performance af ects not only changes in age but also reading exposure. As a result of the experiment, the older adults with poor reading exposure group generally had a longer fixation time and a shorter saccade than the younger adults group, and the older adults with rich reading exposure group showed the same reading patterns as the younger adults group. The word frequency ef ect was confirmed in all groups, and the fixation time was short in the order of older adults with rich reading exposure group and older adults with poor reading exposure group. In addition, an interaction ef ect was shown in the two elderly groups according to reading exposure, but no interaction could be confirmed in the dif erence between the younger adults group and the older adults with rich reading exposure group. This suggests the possibility that reading performance is not af ected by age itself, but by the reading experience of the elderly.

• Smart Media Journal
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• v.7 no.1
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• pp.31-36
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• 2018

In this paper, we propose automatic screen on / off method of OST-HMD screen using gaze depth estimation technique. The proposed method uses MLP (Multi-layer Perceptron) to learn the user's gaze information and the corresponding distance of the object, and inputs the gaze information to estimate the distance. In the learning phase, eye-related features obtained using a wearable eye-tracker. These features are then entered into the Multi-layer Perceptron (MLP) for learning and model generation. In the inference step, eye - related features obtained from the eye tracker in real time input to the MLP to obtain the estimated depth value. Finally, we use the results of this calculation to determine whether to turn the display of the HMD on or off. A prototype was implemented and experiments were conducted to evaluate the feasibility of the proposed method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.5
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• pp.522-534
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• 2002

In this paper, we propose a new object tracking system using stereo images to improve the performance of the automatic object tracking system. The existing object tracking system has optimum characteristics, but it requires a lot of computation. In the case of the image with a single eye, the system is difficult to estimate and track for the various transformation of the object. Because the stereo image by both eyes is difficult to estimate the translation and the rotation, this paper deals with the tracking method, which has the ability to track the image for translation for real time, with block matching algorithm in order to decrease the calculation. The experimental results demonstrate the usefulness of proposed system with the recognition rate of 88% in the rotation, 89% in the translation, 88% in various image, and with the mean rate of 88.3%.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.4
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• pp.269-275
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• 2004

Photovoltaic(PV) system has been studied and watched with keen interest due to a clean and renewable power source. But, the output power of PV system is not only unstable but uncontrollable, because the maximum power point tracking (MPPT) of PV system is still hard with the tracking failure under the sudden fluctuation of irradiance. Authors suggest that the optimal voltage for MPPT be obtained by only solar cell temperature. Having an eye on that the optimal voltage point of solar cell is in proportion to its panel temperature, with operating the power converter whose operating point keeps its input voltage to the optimal voltage imagined by the surface's temperature of PV panel, the maximum power point becomes tenderly possible to be tracked. In order to confirm the availability of the proposed control scheme. And both control methods are simulated not only on the various angle of sampling time of switching control, but also with the real field weather condition. As the results of that, the conversion efficiency between PV panel and converter of the proposed control scheme was much better than that of the power comparison MPPT control, and what is better, the output voltage of PV panel was extremely in stable when the optimal voltage for MPPT is obtained by only solar cell temperature.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.120-128
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• 2022

While online social interactions have been more prevalent with the increased popularity of Metaverse platforms, little has been studied the effects of facial expressions in virtual reality (VR), which is known to play a key role in social contexts. To understand the importance of presenting facial expressions of a virtual avatar under different contexts, we conducted a user study with 24 participants where they were asked to have a conversation and play a charades game with an avatar with and without facial expressions. The results show that participants tend to gaze at the face region for the majority of the time when having a conversation or trying to guess emotion-related keywords when playing charades regardless of the presence of facial expressions. Yet, we confirmed that participants prefer to see facial expressions in virtual reality as well as in real-world scenarios as it helps them to better understand the contexts and to have more immersive and focused experiences.

• Journal of Korea Game Society
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• v.11 no.5
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• pp.13-22
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• 2011

Advances in display technology, stereoscopic (S3D) in the development of social interest in the content development approach is high but it does not make the standardization of interactive 3D content creation performance is very poor. In this paper, real-time video input from an infrared camera that is based on eye tracking implementation user interface developed 3D interactive adventure game "HowSee" was the process of developing skills in the process, an efficient 3D content production methods were presented. unnormalized S3D-based game content production process on how this development occurred in the trial and how to troubleshoot S3D games, etc. to streamline content creation can be a basis for.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.395-401
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• 2021

In the digital era, Korean universities are using real-time remote lecture platforms as a tool for learning. However, it is confusing due to low usage experience problems, and usability studies are needed. The purpose of this study is to measure, analyze, and propose gaze tracking and learning experiences according to the UI design layout of ZOOM. A total of 30 subjects were selected to conduct eye tracking and survey when learning. The experiment showed that grid layouts have a higher emotional realism and learning satisfaction than other layouts. Furthermore, it turns out that participants focused the most attention on grid layouts. Therefore, for high learning experience, grid layouts and layouts that visually highlight participants and induce communication are needed.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2836-2838
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• 2005

본 논문에서는 다양한 조명하에서 실시간으로 눈을 검출하고 추적하는 새로운 방법을 제안하고자 한다. 기존의 능동적 적외선을 이용한 눈 검출 및 추적 방법은 외부의 조명에 매우 민감하게 반응하는 문제점을 가지고 있으므로, 본 논문에서는 적외선 조명을 이용한 밝은 동공 효과와 전형적인 외형을 기반으로 한 사물 인식 기술을 결합하여 외부 조명의 간섭으로 밝은 동공 효과가 나타나지 않는 경우에도 견실하게 눈을 검출하고 추적 할 수 있는 방법을 제안한다. 눈 검출과 추적을 위해 SVM과 평균 이동 추적방법을 사용하였고, 적외선 조명과 카메라를 포함한 영상 획득 장치를 구성하여 제안된 방법이 효율적으로 다양한 조명하에서 눈 검출과 추적을 할 수 있음을 보여 주었다.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2839-2842
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• 2005

본 논문에서는 새로운 실시간 시선 추적 방식을 제안하고자한다. 기존의 시선추적 방식은 사용자가 머리를 조금만 움직여도 잘못된 결과를 얻을 수가 있었고 각각의 사용자에 대하여 교정 과정을 수행할 필요가 있었다. 따라서 제안된 시선 추적 방법은 적외선 조명과 Generalized Regression Neural Networks(GRNN)를 이용함으로써 교정 과정 없이 머리의 움직임이 큰 경우에도 견실하고 정확한 시선 추적을 가능하도록 하였다. GRNN을 사용함으로써 매핑기능은 원활하게 할 수 있었고, 머리의 움직임은 시선 매핑 기능에 의해 적절하게 시선추적에 반영되어 얼굴의 움직임이 있는 경우에도 시선추적이 가능토록 하였고, 매핑 기능을 일반화함으로써 각각의 교정과정을 생략 할 수 있게 하여 학습에 참여하지 않은 다른 사용자도 시선 추적을 가능케 하였다. 실험결과 얼굴의 움직임이 있는 경우에는 평균 90% 다른 사용자에 대해서는 평균 85%의 시선 추적 결과를 나타내었다.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.566-571
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• 1994

This paper presents in image-based visual servo control scheme for tracking a workpiece with a hand-eye coordinated robotic system using the fuzzy-neural-network. The goal is to control the relative position and orientation between the end-effector and a moving workpiece using a single camera mounted on the end-effector of robot manipulator. We developed a fuzzy-neural-network that consists of a network-model fuzzy system and supervised learning rules. Fuzzy-neural-network is applied to approximate the nonlinear mapping which transforms the features and theire change into the desired camera motion. In addition a control strategy for real-time relative motion control based on this approximation is presented. Computer simulation results are illustrated to show the effectiveness of the fuzzy-neural-network method for visual servoing of robot manipulator.