• Title/Summary/Keyword: Gaze

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Prevalence of Palpebral Fissure Asymmetry in Healthy Koreans (안검열 비대칭에 관한 연구)

  • Kim, Sang-Moon
    • Journal of Korean Ophthalmic Optics Society
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    • v.4 no.2
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    • pp.119-122
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    • 1999
  • The palpebral fissure height of 67 healthy koreans were examined. Measurements were obtained with high resolution digital image processing, with the eyes in primary gaze, in 45-degree right gaze, and in 45-degree left gaze. When a criterion of equal to or greater than 1mm was used, the prevalence of physiologic palpebral fissure asymmetry was 13.1 (8/61) in primary gaze, 24.6%(15/61) in right gaze, and 16.4%(10/61) in left gaze. The largest observed palpebral fissure asymmetry was 1.795mm. After correcting for any existing fissure asymmetry in primary gaze, two-tailed trivariate analysis of variance showed that most corrected palpebral fissure asymmetries are less than 1mm and adducting eye tended to be wider in horizontal gaze. Also this effect of wider fissure in the adducting eye was the same for right gaze or left gaze, and found no significant effect of gender on palpebral fissure asymmetry. The mean increase in the palpebral fissure of the adducting eye was 0.29mm for right gaze and 0.21mm for left gaze.

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Real Time Eye and Gaze Tracking (트래킹 Gaze와 실시간 Eye)

  • Min Jin-Kyoung;Cho Hyeon-Seob
    • Proceedings of the KAIS Fall Conference
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    • 2004.11a
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    • pp.234-239
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    • 2004
  • This paper describes preliminary results we have obtained in developing a computer vision system based on active IR illumination for real time gaze tracking for interactive graphic display. Unlike most of the existing gaze tracking techniques, which often require assuming a static head to work well and require a cumbersome calibration process fur each person, our gaze tracker can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using the Generalized Regression Neural Networks (GRNN). With GRNN, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. The effectiveness of our gaze tracker is demonstrated by preliminary experiments that involve gaze-contingent interactive graphic display.

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Gaze Differences between Expert and Novice Teachers in Science Classes

  • Kim, Won-Jung;Byeon, Jung-Ho;Lee, Il-Sun;Kwon, Yong-Ju
    • Journal of The Korean Association For Science Education
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    • v.32 no.9
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    • pp.1443-1451
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    • 2012
  • This study aims to investigate the gaze patterns of two expert and two novice teachers in one hour of lecture type class. Teachers recruited from the same middle school conducted the class each, wearing an eye-tracker. Gaze rate and gaze movement pattern were analyzed. The scene where teachers faced in the classroom was categorized into three zones; student zone, material zone, and non-teaching zone. Student zone was divided into nine areas of interest to see the gaze distribution within the student zone. Expert teachers showed focused gaze on student zone while novice teachers' gaze rate was significantly higher at the non-teaching zone, compared to expert teachers' one. Within student zone, expert teachers' gaze spread to the rear areas, but novice teachers' one was narrowly resided in the middle areas of the student zone. This difference in gaze caused different eye movement pattern: experts' T pattern and novices' I pattern. On the other hand, both teacher groups showed the least gaze rate onto the left and right front areas. Which change is required to teachers' gaze behavior and what must be considered in order to make effective teacher gaze in the classroom setting were discussed.

Robust pupil detection and gaze tracking under occlusion of eyes

  • Lee, Gyung-Ju;Kim, Jin-Suh;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.11-19
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    • 2016
  • The size of a display is large, The form becoming various of that do not apply to previous methods of gaze tracking and if setup gaze-track-camera above display, can solve the problem of size or height of display. However, This method can not use of infrared illumination information of reflected cornea using previous methods. In this paper, Robust pupil detecting method for eye's occlusion, corner point of inner eye and center of pupil, and using the face pose information proposes a method for calculating the simply position of the gaze. In the proposed method, capture the frame for gaze tracking that according to position of person transform camera mode of wide or narrow angle. If detect the face exist in field of view(FOV) in wide mode of camera, transform narrow mode of camera calculating position of face. The frame captured in narrow mode of camera include gaze direction information of person in long distance. The method for calculating the gaze direction consist of face pose estimation and gaze direction calculating step. Face pose estimation is estimated by mapping between feature point of detected face and 3D model. To calculate gaze direction the first, perform ellipse detect using splitting from iris edge information of pupil and if occlusion of pupil, estimate position of pupil with deformable template. Then using center of pupil and corner point of inner eye, face pose information calculate gaze position at display. In the experiment, proposed gaze tracking algorithm in this paper solve the constraints that form of a display, to calculate effectively gaze direction of person in the long distance using single camera, demonstrate in experiments by distance.

Real Time Eye and Gaze Tracking

  • Park Ho Sik;Nam Kee Hwan;Cho Hyeon Seob;Ra Sang Dong;Bae Cheol Soo
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.857-861
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    • 2004
  • This paper describes preliminary results we have obtained in developing a computer vision system based on active IR illumination for real time gaze tracking for interactive graphic display. Unlike most of the existing gaze tracking techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze tracker can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using the Generalized Regression Neural Networks (GRNN). With GRNN, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. The effectiveness of our gaze tracker is demonstrated by preliminary experiments that involve gaze-contingent interactive graphic display.

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Development of a Non-contact Input System Based on User's Gaze-Tracking and Analysis of Input Factors

  • Jiyoung LIM;Seonjae LEE;Junbeom KIM;Yunseo KIM;Hae-Duck Joshua JEONG
    • Korean Journal of Artificial Intelligence
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    • v.11 no.1
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    • pp.9-15
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    • 2023
  • As mobile devices such as smartphones, tablets, and kiosks become increasingly prevalent, there is growing interest in developing alternative input systems in addition to traditional tools such as keyboards and mouses. Many people use their own bodies as a pointer to enter simple information on a mobile device. However, methods using the body have limitations due to psychological factors that make the contact method unstable, especially during a pandemic, and the risk of shoulder surfing attacks. To overcome these limitations, we propose a simple information input system that utilizes gaze-tracking technology to input passwords and control web surfing using only non-contact gaze. Our proposed system is designed to recognize information input when the user stares at a specific location on the screen in real-time, using intelligent gaze-tracking technology. We present an analysis of the relationship between the gaze input box, gaze time, and average input time, and report experimental results on the effects of varying the size of the gaze input box and gaze time required to achieve 100% accuracy in inputting information. Through this paper, we demonstrate the effectiveness of our system in mitigating the challenges of contact-based input methods, and providing a non-contact alternative that is both secure and convenient.

The gaze cueing effect depending on the orientations of the face and its background (얼굴과 배경의 방향에 따른 시선 단서 효과)

  • Lijeong, Hong;Min-Shik, Kim
    • Korean Journal of Cognitive Science
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    • v.34 no.2
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    • pp.85-110
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    • 2023
  • The gaze cueing effect appears as detecting a target rapidly and accurately when the direction of others' gaze corresponds with the location of the visual target. The gaze cue can be affected by the orientation of the face. The gaze cueing effect is strong when the face is presented upright, but the effect has only been observed in some studies when the face is presented inverted(e.g., Tipples, 2005). This study aimed to examine whether the gaze can operate as a cue to guide attention with upright faces, and to add variables that can affect the gaze cue, such as the orientation of the face, the orientation of the background, and a time interval between the gaze cue and the target(SOA). Furthermore, it systematically manipulated these variables to explore whether the gaze cueing effect can be observed under the various conditions. The results showed a significant gaze cueing effect even on the inverted face, contrasting with previous studies. These findings were consistently observed when the background stimulus was absent(Experiment 1) and present(Experiments 2 and 3). However, there was no significant interaction in the orientations between the face and the background. Moreover, in the short SOA(150 ms), we found a significant gaze cueing effect in conditions of every face and background orientation, whereas there was no significant gaze cueing effect in the long SOA(1000 ms). By presenting a consistent observation of the gaze cueing effect under the short SOA(150ms) even in the inverted faces, the results of this study pose questions about the reliability and repeatability of previous studies that did not report significant results of gaze cueing effects in that faces. Furthermore, our results are meaningful in providing additional evidence that attention can be guided toward the direction of the gaze even in various directions of the face and background.

Analysis of the Fashion Shops' Images Applying Gaze Frequency (주시빈도를 적용한 패션숍 파사드 이미지 분석)

  • Yeo, Mi;Oh, Sun Ae
    • Korean Institute of Interior Design Journal
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    • v.22 no.6
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    • pp.212-219
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    • 2013
  • This study uses a fashion shop facade design to track human gaze, find gaze frequency for gaze time for the gaze points along the path of sight, and expose the importance of facade design and figure out the value through theoretical systematization. Thus, this study employed the measurement method in physiological psychology which is sight-tracking device with eye-tracking to perform effective data evaluation. To find gaze frequency and study the contents to reflect on the facade, precedent study review, and case study of facade design to collect stimulants to be used in eye-tracking experiment were executed. And the eye-tracking experiment which traces the movement of eye[pupil] was performed. As the result of analyzing gaze frequency, The characteristics of such gaze path formation made the characteristics for gaze frequency even clearer. What was characteristic in the analysis result according to 'average value for gaze time' was that only 8 out of 2000 areas showed over 1 second of frequency and, and all other shoed less than 1 second of gaze time. This indicates that human sight endlessly jumps around, and that it 'Stay' where it has interest. This study found the average of the frequency of this 'Stay' in facade design. This study well presents the major points to add value to the design of the space of facade based on scientific measurement/analysis data obtained through visual understanding. Through such, this study is thought to be able to have a positive interaction with marketing by forming a theoretical background bringing utility to purchase environment and assisting in sales increase.

Real Time Gaze Discrimination for Human Computer Interaction (휴먼 컴퓨터 인터페이스를 위한 실시간 시선 식별)

  • Park Ho sik;Bae Cheol soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.3C
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    • pp.125-132
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    • 2005
  • This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Futhermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about 5°horizontally and 8°vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

Real Time Gaze Discrimination for Computer Interface (컴퓨터 인터페이스를 위한 실시간 시선 식별)

  • Hwang, Suen-Ki;Kim, Moon-Hwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.1
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    • pp.38-46
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    • 2010
  • This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about $5^{\circ}$horizontally and $8^{\circ}$vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

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