• Journal of IKEEE
• /
• v.22 no.4
• /
• pp.1109-1114
• /
• 2018

Electroencephalogram (EEG) is a tool used to study brain activity caused by external stimuli. In this process, artifacts are mixed and it is easy to distort the signal, so post-processing is necessary to remove it. Independent Component Analysis (ICA) is a widely used method for removing artifact. This method has a disadvantage in that it has excellent performance but some loss of brain wave information. In this paper, we propose a method to reduce EEG information loss by restricting the filter coverage using eye blink information obtained from Eyetracker. We then compared the results of the proposed method with the conventional method using quantization methods such as Signal to Noise Ratio (SNR) and Spectral Coherence (SC).

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.5
• /
• pp.187-195
• /
• 2018

In this study, using real-time gaze tracking and head tracking method, we intended to quantitatively evaluate the deviation between the patient's head and gaze direction while minimizing inspection errors due to apraxia of conventional paper-based examination respectively. As a result, we developed a software that can quantitatively measure gaze and head movement information, and computerized the line bisection and star cancelation test, which are generally used as conventional paper test. In addition, for the rehabilitation training, contents corresponding to the visual technology of Warren's visual hierarchical model lower level are implemented and can be performed repetitively and independently. This allows the patient to actively participate in rehabilitation and quantitatively compare the degree of improvement.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.48 no.6
• /
• pp.88-95
• /
• 2011

An embedded mobile device mostly has lower computation power than a general purpose computer because of its relatively lower system specifications. Consequently, conventional face tracking and face detection methods, requiring complex algorithms for higher recognition rates, are unsuitable in a mobile environment aiming for real time detection. On the other hand, by applying a real-time tracking and detecting algorithm, we would be able to provide a two-way interactive multimedia service between an user and a mobile device thus providing a far better quality of service in comparison to a one-way service. Therefore it is necessary to develop a real-time face and eye tracking technique optimized to a mobile environment. For this reason, in this paper, we proposes a method of tracking horizontal face position of a user on a T-DMB device for enhancing the quality of 3D DMB content. The proposed method uses the orientation of edges to estimate the left and right boundary of the face, and by the color edge information, the horizontal position and size of face is determined finally to decide the horizontal face. The sobel gradient vector is projected vertically and candidates of face boundaries are selected, and we proposed a smoothing method and a peak-detection method for the precise decision. Because general face detection algorithms use multi-scale feature vectors, the detection time is too long on a mobile environment. However the proposed algorithm which uses the single-scale detection method can detect the face more faster than conventional face detection methods.

• Proceedings of the KIEE Conference
• /
• 1999.07g
• /
• pp.2995-2997
• /
• 1999

Recently, real-time visual tracking control for a robot manipulator is performed by using a vision feedback sensor information. In this paper, the optical flow is computed based on the eye-in-hand robot configuration. The image jacobian is employed to calculate the rotation and translation velocity of a 3D moving object. LQG visual controller generates the real-time visual trajectory. In order to improving the visual tracking performance. VSC controller is employed to control the robot manipulator. Simulation results show a better visual tracking performance than other method.

• Journal of the Korea Convergence Society
• /
• v.11 no.10
• /
• pp.207-212
• /
• 2020

This study analyzes the Soju(Korean alcohol) advertisement image, which is relatively easy to interpret subjectively, among sexual appeal advertisements that stimulate consumers' curiosity, where the image is verified through AOI (area of interest) 3 areas (face, body, product), and eye-tracking, one of the psychophysiological indicators. The result of the analysis reveals that visual attention, the interest in the advertising model, was higher in the face than in the body shape. Contrary to the prediction that men would be more interested in body shape than women, both men and women showed higher interest in the face than a body. Besides, it was derived that recognition and recollection of the product were not significant. This study is significant in terms of examining the pattern of visual attention such as the gaze point and gaze time of male and female consumers on sexual appeal advertisements. In further, the study looks forward to bringing a positive influence to the soju advertisement image by presenting the expression method that the soju advertisement image should pursue as well as the appropriate marketing direction.

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

• Journal of Korea Game Society
• /
• v.15 no.4
• /
• pp.121-132
• /
• 2015

This study suggests a design for an analytical software program and method for multitasking e-sports viewing through the web using an eye tracking device. To fulfill this task, we designed a Window of Interest (WOI) to measure and record visually on a screen wherever numerous multitasking activities occur. In addition, we developed an OBS (Opensource Broadcaster Software) plug-in that records and streams participant viewing behavior patterns in real time. The purpose of this study is as follows. First, unlike existing tools that limit web interface recording to still images, the developed tool can record dynamically via media such as videos. Second, when several windows are processed on a screen, the tool can accurately record the gaze positions of the participants. Lastly, the tool can enhance the objective validity of the data as it can be implemented in natural situations. Therefore, this study can trace natural viewing patterns and behavior as we do not create artificial experimental environments and stimuli.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.102-110
• /
• 2019

Among the visual sensibility studies, many studies of color or movement have been done, but not much have been done about whether it can evoke sensibility in static form itself. Therefore, in this study, visual attention by AOIs(Area of Interests) combined with color based on three basic forms was analyzed using eye tracking, and the results were visually expressed through Heat Map and Gaze Plot. In addition, A Paired t-test was performed on the mean difference between the two groups to verify the statistical significance of each color and form. As a result of the experiment, the chromatic color form was more visual attention than the achromatic color form and warm color form was higher mean than cool color, so the visual attention was greater. In this study, it is meaningful to suggest a quantitative method which is easy to interpret objectively the design element that is easily interpreted subjectively. Based on the results of this study, if more further studies and quantitative analysis methods are presented that can identify differences in visual attention from various colors and forms, it can be used to provide guidelines for basic design.

• Journal of Electrical Engineering and Technology
• /
• v.8 no.2
• /
• pp.385-392
• /
• 2013

An uncalibrated visual servo control method for tracking a target is presented. We define the robot-positioning problem as an unconstrained optimization problem to minimize the image error between the target feature and the robot end-effector feature. We propose a method to find the residual term for more precise modeling using the secant approximation method. The composite image Jacobian is estimated by the proper method for eye-to-hand configuration without knowledge of the kinematic structure, imaging geometry and intrinsic parameter of camera. This method is independent of the motion of a target feature. The algorithm for regulation of the joint velocity for safety and stability is presented using the cost function. Adaptive regulation for visibility constraints is proposed using the adaptive parameter.

• The Journal of Korean Association of Computer Education
• /
• v.17 no.2
• /
• pp.107-113
• /
• 2014

In this study, we design and implement an eye-gaze estimation system based on the extraction of eye contour and pupil region. In order to effectively extract the contour of the eye and region of pupil, the face candidate regions were extracted first. For the detection of face, YCbCr value range for normal Asian face color was defined by the pre-study of the Asian face images. The biggest skin color region was defined as a face candidate region and the eye regions were extracted by applying the contour and color feature analysis method to the upper 50% region of the face candidate region. The detected eye region was divided into three segments and the pupil pixels in each pupil segment were counted. The eye-gaze was determined into one of three directions, that is, left, center, and right, by the number of pupil pixels in three segments. In the experiments using 5,616 images of 20 test subjects, the eye-gaze was estimated with about 91 percent accuracy.