• Korean Institute of Interior Design Journal
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• v.26 no.6
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• pp.106-115
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• 2017

This study has analysed the characteristics of observation by presence of objects in exhibition spaces through eye-tracking. The area with prevailing observation by the change of observation time with visual-perception response to the presence of objects has been analyzed to figure out the mechanism of sensibility estimation which can take place while the visual-perception is being estimated in spaces. Research results are able to ascertain that First, it was very characteristic that the signs right and left were observed more when there were no objects while when there were objects they were observed prevailingly. Second, the characteristics by section when there were any objects showed that there were more high observation scale I (more than 1000ms). When there were any objects with the number of areas where all the participants prevailed commonly, the scale was more, also. Third, in the process of acquiring any visual-perception information in spaces, the element of landmark can be regarded as a control point for space cognition, where the objects (people) became landmark when there were the objects but the signs became landmark when there were no objects. Fourth, the polynomial trend line of the changes to prevailing observation frequency by observation time shows that there was a gradual average value in general when there were any objects and then after the time range[8] the prevailing observation frequency increased. Without any objects, after a particular time range the value sharply dropped along with the increase of observation time because no objects to be observed prevailingly couln't be seen. The gradual average value means that some elements in the space were prevailingly observed all the time.

• Aerospace Engineering and Technology
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• v.4 no.2
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• pp.230-235
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• 2005

As a precedence research for the COMS(Communication, Oceanic, and Meteorological Satellite), this paper proposes the SMTC(Soble Masked Tracking Guideline) algorighm for a fast landmark matching. The experimental results show that proposed algorithm should recude a lot of calculative time.

• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1454-1463
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• 2020

An important factor in eye-tracking PC interface for general paralyzed patients is the implementation of the mouse interface, for manipulating the GUI. With a successfully implemented mouse interface, users can generate mouse events exactly at the point of their choosing. However, it is difficult to define this interaction in the eye-tracking interface. This problem has been defined as the Midas touch problem and has been a major focus of eye-tracking research. There have been many attempts to solve this problem using blink, voice input, etc. However, it was not suitable for general paralyzed patients because some of them cannot wink or speak. In this paper, we propose a mouth-pop-up, eye-tracking mouse interface that solves the Midas touch problem as well as becoming a suitable interface for general paralyzed patients using a common RGB camera. The interface presented in this paper implements a mouse interface that detects the opening and closing of the mouth to activate a pop-up menu that the user can select the mouse event. After implementation, a performance experiment was conducted. As a result, we found that the number of malfunctions and the time to perform tasks were reduced compared to the existing method.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.1-21
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• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.6
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• pp.1497-1508
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• 1993

Real-time mobile robot controllers usually have been designed focused on control theory without paying attention to the importance of system integration. This paper demonstrates that autonomous mobile robots require a real-time controller with a wide range of capabilities in addition to control theory. An architectural frame work supporting these capabilities has been designed in actual hardware environments. Individual modules such as a path planner, a path tracking controller, position estimators, wheel controllers and other cruical elements have been successfully integrated into the control system using this frame work. The overall performance of the system was investigated via a series of tracking experiments with a prototype mobile robot named LCAR deveoped in the laboratory. The context of the research involves the architecture, its implementation and experimental results.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.907-908
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• 2006

We describe a method for localizing a mobile robot in its working environment using a vision system and Virtual Reality Modeling Language (VRML). The robot identifies landmarks in the environment, using image processing and neural network pattern matching techniques, and then its performs self-positioning with a vision system based on a well-known localization algorithm. After the self-positioning procedure, the 2-D scene of the vision is overlaid with the VRML scene. This paper describes how to realize the self-positioning, and shows the overlap between the 2-D and VRML scenes. The method successfully defines a robot's path.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.135-138
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• 2001

증강현실 시스템을 구축하는데 있어 실시간 가상객체 위치 추적은 실세계와 가상객체를 정확하고 깊이감 있게 정합하고, 실세계 움직임에 따른 가상객체 위치변화 추적에 중요하다. 따라서 실시간 카메라 입력영상으로부터 가상객체의 위치를 추적하는데 있어 정확성과 함께 빠른 수행시간이 요구된다. 본 논문에서는 HMD(Head Mounted Display)장비에 장착된 두 개의 카메라로부터 관찰자의 시점 이동에 따른 가상객체 정합위치 정보를 입력받아 그 위치를 정확하게 인식하고 빠르게 추적하기 위하여 인위적인 랜드마크 형태를 정의하였으며, 실시간 입력영상으로부터 랜드마크 중심점 위치를 실시간으로 추적하기 위해 일정시간 간격마다 입력받은 첫 영상으로부터 얻은 랜드마크 영역 정보를 이용하여 중심점의 위치를 추적함으로써 수행시간을 줄이고자 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.212-214
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• 2021

In a society with Covid-19 as part of our daily lives, we had to adapt ourselves to a new reality to maintain our lifestyles as normal as possible. An example of this is teleworking and online classes. However, several issues appeared on the go as we started the new way of living. One of them is the doubt of knowing if real people are in front of the camera or if someone is paying attention during a lecture. Therefore, we encountered this issue by creating a 3D reconstruction tool to identify human faces and expressions actively. We use a web camera, a lightweight 3D face model, and use the 2D facial landmark to fit expression coefficients to drive the 3D model. With this Model, it is possible to represent our faces with an Avatar and fully control its bones with rotation and translation parameters. Therefore, in order to reconstruct facial expressions during online meetings, we proposed the above methods as our solution to solve the main issue.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.812-814
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• 2022

제어할 사물을 선택하기 위해 여러 단계를 거쳐야 하는 기존 '스마트 홈'의 단점을 보완하고자 본 논문에서는 사용자의 시선 방향을 추정하여 사용자가 바라보는 방향에 있는 사물을 제어할 수 있는 시스템을 제안한다. 일반 RGB 카메라를 통해 Pose Estimation으로 추출한 Landmark들의 좌표 값을 이용하여 시선 방향을 추정하는 알고리즘을 구현하였으며, 이는 근적외선 카메라와 Gaze Tracking 모델링을 통해 이루어지던 기존의 시선 추적 기술에 비해 가벼운 데이터를 산출하고 사용자와 센서간의 위치 제약이 적으며 별도의 장비를 필요로 하지 않는다. 해당 알고리즘으로 산출한 시선 추적의 정확도가 실제 주거환경에서 사용하기에 실효성이 있음을 실험을 통해 입증하였으며, 최종적으로 이 알고리즘을 적용하여 적외선 기기와 Google Home 제품에 사용할 수 있는 시선 방향 사물 제어 시스템을 구현하였다.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.134-141
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• 2015

Brand space is one of the important elements of urban cultural space and can stimulate the urban culture as a significant landmark. Thus, it is necessary to develop factors for evaluating the communication with users in brand spaces. In particular, factors for evaluating the psychological, emotional aspects of users is essential. This study is aimed at developing evaluation factors with a space marketing perspective through an user behavioral analysis. As for research method, the emotional responses of users will be examined and analyzed through an eye-tracking device. First, The researcher will visit brand spaces and take photos of them to collect data and analyze the status. Second, we filled out the questionnaire based on analytical framework and selected 20 architectural students for survey. Third, Eye-tracking experiment will be conducted. Forth, Space design marketing evaluation factors will be established based on the results. Final, suggestions for future research based on the analysis results. When the 30 images of premium supermarkets were used for the survey, men were more sensitive to the store design. But women were more sensitive to the quality or store accessibility. Also, the furniture factor was most important for women, and spatial factor was most important for men. When the eye-tracking experiment was done as to the 5 selected brand spaces, both men and women looked at the furniture factor that includes the showcases more than anything else. It shows the same result as the previous survey.