Relevant bibliographies by topics / 2D Eye Gaze Estimation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic '2D Eye Gaze Estimation'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "2D Eye Gaze Estimation"

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Ibrahim, Furkan Ince, and Woo Kim Jin. "A 2D Eye Gaze Estimation System with Low-Resolution Webcam Images." EURASIP Journal on Advances in Signal Processing 2011, no. 40 (2011): 1–11. https://doi.org/10.1186/1687-6180-2011-40.

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In this article, a low-cost system for 2D eye gaze estimation with low-resolution webcam images is presented. Two algorithms are proposed for this purpose, one for the eye-ball detection with stable approximate pupil-center and the other one for the eye movements' direction detection. Eyeball is detected using deformable angular integral search by minimum intensity (DAISMI) algorithm. Deformable template-based 2D gaze estimation (DTBGE) algorithm is employed as a noise filter for deciding the stable movement decisions. While DTBGE employs binary images, DAISMI employs gray-scale images. Ri
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Yusuf, Sait Erdem, Furkan Ince Ibrahim, Kusetogullari Huseyin, and Haidar Sharif Md. "Computer Game Controlled by Eye Movements." International Journal of Scientific Research in Information Systems and Engineering (IJSRISE) 1, no. 2 (2015): 97–102. https://doi.org/10.5281/zenodo.836155.

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Sundry years ago people played video games for fun merely. Nowadays, video games are correlated to education, medicine, and researches. In this paper, we have addressed a computer game which takes input from a video camera by detecting user looking direction as well as eye gestures. Since webcam is easily accessible, we have carefully weighed it as video input device. We have tried to use the eye movements as the human computer interaction (HCI) tool, which would be used instead of a mouse. In general, this furnishes much easier and faster interaction with computer for everyone especially elde
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Huynh, Sinh, Rajesh Krishna Balan, and JeongGil Ko. "iMon." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (2021): 1–26. http://dx.doi.org/10.1145/3494999.

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Gaze tracking is a key building block used in many mobile applications including entertainment, personal productivity, accessibility, medical diagnosis, and visual attention monitoring. In this paper, we present iMon, an appearance-based gaze tracking system that is both designed for use on mobile phones and has significantly greater accuracy compared to prior state-of-the-art solutions. iMon achieves this by comprehensively considering the gaze estimation pipeline and then overcoming three different sources of errors. First, instead of assuming that the user's gaze is fixed to a single 2D coo
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Kim, Jin-Woo. "Webcam-Based 2D Eye Gaze Estimation System By Means of Binary Deformable Eyeball Templates." Journal of information and communication convergence engineering 8, no. 5 (2010): 575–80. http://dx.doi.org/10.6109/jicce.2010.8.5.575.

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Pomianek, Mateusz, Marek Piszczek, Marcin Maciejewski, and Piotr Krukowski. "The stability of the MEMS 2D mirror's operating point in terms of eye tracking systems." Photonics Letters of Poland 12, no. 2 (2020): 43. http://dx.doi.org/10.4302/plp.v12i2.1016.

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This paper describes research on the stability of the MEMS mirror for use in eye tracking systems. MEMS mirrors are the main element in scanning methods (which is one of the methods of eye tracking). Due to changes in the mirror pitch, the system can scan the area of the eye with a laser and collect the signal reflected. However, this method works on the assumption that the inclinations are constant in each period. The instability of this causes errors. The aim of this work is to examine the error level caused by pitch instability at different points of work. Full Text: PDF ReferencesW. Fuhl,
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Kim, Seunghyun, Seungkeon Lee, and Eui Chul Lee. "Advancements in Gaze Coordinate Prediction Using Deep Learning: A Novel Ensemble Loss Approach." Applied Sciences 14, no. 12 (2024): 5334. http://dx.doi.org/10.3390/app14125334.

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Recent advancements in deep learning have enabled gaze estimation from images of the face and eye areas without the need for precise geometric locations of the eyes and face. This approach eliminates the need for complex user-dependent calibration and the issues associated with extracting and tracking geometric positions, making further exploration of gaze position performance enhancements challenging. Motivated by this, our study focuses on an ensemble loss function that can enhance the performance of existing 2D-based deep learning models for gaze coordinate (x, y) prediction. We propose a n
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Zhu, Bo, Peng Yun Zhang, Jian Nan Chi, and Tian Xia Zhang. "Gaze Estimation Based on Single Camera." Advanced Materials Research 655-657 (January 2013): 1066–76. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1066.

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A new gaze tracking method used in single camera gaze tracking system is proposed. The method can be divided into human face and eye location, human features detection and gaze parameters extraction, and ELM based gaze point estimation. In face and eye location, a face detection method which combines skin color model with Adaboost method is used for fast human face detection. In eye features and gaze parameters extraction, many image processing methods are used to detect eye features such as iris center, inner eye corner and so on. And then gaze parameter which is the vector from iris center t
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Govind, Surya. "WEBCAM BASED EYE-GAZE ESTIMATION." International Journal of Engineering Applied Sciences and Technology 04, no. 06 (2019): 144–49. http://dx.doi.org/10.33564/ijeast.2019.v04i06.025.

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Jian-Gang Wang and E. Sung. "Study on eye gaze estimation." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32, no. 3 (2002): 332–50. http://dx.doi.org/10.1109/tsmcb.2002.999809.

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Mohan, Susmitha, and Manoj Phirke. "Eye Gaze Estimation Invisible and IR Spectrum for Driver Monitoring System." Signal & Image Processing : An International Journal 11, no. 5 (2020): 1–20. http://dx.doi.org/10.5121/sipij.2020.11501.

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Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving. Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving features arethe major reasons for road accidents and fatalities. Driver monitoring systems aims to monitor various aspect of driving and provides appropriate warnings whenever required. Eye gaze estimation is a key element in almost all of the driver monitoring systems. Gaze estimation aims to find the point of gaze which is basically,” -where is driver looking”. This helps in understanding i
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Dissertations / Theses on the topic "2D Eye Gaze Estimation"

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Wood, Erroll William. "Gaze estimation with graphics." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267905.

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Gaze estimation systems determine where someone is looking. Gaze is used for a wide range of applications including market research, usability studies, and gaze-based interfaces. Traditional equipment uses special hardware. To bring gaze estimation mainstream, researchers are exploring approaches that use commodity hardware alone. My work addresses two outstanding problems in this field: 1) it is hard to collect good ground truth eye images for machine learning, and 2) gaze estimation systems do not generalize well -- once they are trained with images from one scenario, they do not work in ano
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Hnatow, Justin Michael. "A theoretical eye model for uncalibrated real-time eye gaze estimation /." Online version of thesis, 2006. http://hdl.handle.net/1850/2606.

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Jafari, Reza. "Applications possibles de la stéganographie sur la compression d’image et l’estimation du regard de l’oeil humain." Thèse, Université de Sherbrooke, 2014. http://savoirs.usherbrooke.ca/handle/11143/5335.

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La recherche présentée dans cette thèse est divisée en trois parties. Notre objectif dans la première partie est l’amélioration de la compression de l’image par stéganographie. Dans cette étude, la compression de données est effectuée en deux étapes. Tout d’abord, nous profitons du compactage d’énergie en utilisant JPEG pour réduire les données redondantes. Ensuite, nous intégrons des blocs de bits dans les blocs suivants de la même image stéganographie. Les bits intégrés servent à non seulement augmenter la taille du fichier de l’image compressée, mais aussi à diminuer davantage la tai
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Kacete, Amine. "Unconstrained Gaze Estimation Using RGB-D Camera." Thesis, CentraleSupélec, 2016. http://www.theses.fr/2016SUPL0012/document.

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Dans ce travail, nous avons abordé le problème d’estimation automatique du regard dans des environnements utilisateur sans contraintes. Ce travail s’inscrit dans la vision par ordinateur appliquée à l’analyse automatique du comportement humain. Plusieurs solutions industrielles sont aujourd’hui commercialisées et donnent des estimations précises du regard. Certaines ont des spécifications matérielles très complexes (des caméras embarquées sur un casque ou sur des lunettes qui filment le mouvement des yeux) et présentent un niveau d’intrusivité important, ces solutions sont souvent non accessib
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Oyini, Mbouna Ralph. "Illumination Independent Head Pose and Pupil Center Estimation for Gaze Computation." Master's thesis, Temple University Libraries, 2011. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/208725.

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Electrical Engineering<br>M.S.E.E.<br>Eyes allow us to see and gather information about the environment. Eyes mainly act as an input organ as they collect light, but they also can be considered an output organ as they indicate the subject's gaze direction. Using the orientation of the head and the position of the eyes, it is possible to estimate the gaze path of an individual. Gaze estimation is a fast growing technology that track a person's eyes and head movements to "pin point" where the subject is looking at on a computer screen. The gaze direction is described as a person's line of sight.
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Ferhat, Onur. "A gaze estimation method and system for natural light cameras." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/454998.

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Els dispositius de seguiment d’ulls han estat tradicionalment utilitzats només dins dels laboratoris, i requerien professionals capacitats i mecanismes de configuració elaborats. No obstant això, en els últims anys el treball científic sobre dispositius fàcils d’usar que no requereixen cap maquinari especial—a part de les omnipresents càmeres frontals en ordinadors, tauletes i mòbils —té com a objectiu fer aquesta tecnologia accessible. Aquests tipus de seguidors tenen diversos desafiaments addicionals que dificulten el problema, com imatges de baixa resolució proporcionades per una
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Adelore, Temilade Adediwura. "Determining fixation stability of amd patients using predictive eye estimation regression." Thesis, Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26495.

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Patients with macular degeneration (MD) often fixate with a preferred retinal locus (PRL). Eye movements made while fixating with the PRL (in MD patients) has been observed to be maladaptive compared to those made while fixating with the fovea (normal sighted individuals). For example, in MD patients, PRL eye movements negatively affect fixation stability and re-fixation precision; consequently creating difficulty in reading and limits to their execution of other everyday activities. Abnormal eye movements from the PRL affect research on the physiological adaptations to MD. Specifically, prev
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Jin, Nan. "ModSETS : a model-driven stereo eye tracking system : application in the medical field." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0339.

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La plupart des systèmes de suivi de l’œil existants ne fournissent que des analyses précises et en temps réel des mouvements oculaires 2D (horizontaux et verticaux) dans des conditions de laboratoire. Ils sont en général insuffisants pour les applications du domaine médical, parce que leur robustesse est souvent mise à l'épreuve dans la pratique et la mesure du mouvement torsionnel de l’œil est ignorée la plupart du temps. Cela augmente la difficulté d'interprétation des données collectées et peut donc affecter la qualité du diagnostic médical. Un système de suivi de l’œil en stéréophotogrammé
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Bzik, Davor. "JEZIK: A Cognitive Translation System Employing a Single, Visible Spectrum Tracking Detector." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5924.

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A link between eye movement mechanics and the mental processing associated with text reading has been established in the past. The pausing of an eye gaze on a specific word within a sentence reflects correctness or fluency of a translated text. A cognitive translation system has been built employing a single, inexpensive web camera without the use of infrared illumination. It was shown that the system translates the text, detects rarely occurring and out-of-context words from eye gaze information, and provides solutions in real time while the user is still reading. The solutions are in form of
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Bastl, Petr. "Určení směru pohledu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219054.

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This thesis deals with the eye gaze tracking and determining the direction and the place of the view. The overview of methods for determining the view direction is provided here. The direct 3D gaze estimation technique is proposed and implemented. The eye gaze can be estimated by using a single camera and under nature head movement. This paper describes the algorithms for the image processing and the image description. The center of the pupil is determined by the genetic algorithm for the ellipse detection. The procedures of the instrumentation calibration are proposed here as well. The work a
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Books on the topic "2D Eye Gaze Estimation"

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Gilad-Gutnick, Sharon, Rohan Varma, and Pawan Sinha. The Bogart Effect. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0089.

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While a geometry-based eye-gaze estimation strategy has been the basis of many theories regarding the direction of one’s gaze, such a strategy relies on relatively detailed curvature information and therefore functions suboptimally under low-resolution viewing conditions. Partly in response to this concern, the past decade has seen the rise of luminance-based theories of eye-gaze estimation. The idea of luminance-based estimation of gaze direction arose from the observation that contrast negation affects eye-gaze perception, and an early demonstration and possible explanation for this phenomen
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Book chapters on the topic "2D Eye Gaze Estimation"

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Wiśniewska, Joanna, Mahdi Rezaei, and Reinhard Klette. "Robust Eye Gaze Estimation." In Computer Vision and Graphics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11331-9_76.

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Murakami, Jun’ichi, and Ikuhisa Mitsugami. "Gaze from Head: Gaze Estimation Without Observing Eye." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41404-7_18.

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Zhang, Xucong, Seonwook Park, and Anna Maria Feit. "Eye Gaze Estimation and Its Applications." In Human–Computer Interaction Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82681-9_4.

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Al Mazrouei, Suood, and Andrzej Śluzek. "Simple Methodology for Eye Gaze Direction Estimation." In Recent Challenges in Intelligent Information and Database Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1685-3_20.

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Ishii, Ryo, Ryota Ooko, Yukiko I. Nakano, and Tokoaki Nishida. "Effectiveness of Gaze-Based Engagement Estimation in Conversational Agents." In Eye Gaze in Intelligent User Interfaces. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4784-8_6.

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Anwar, Suzan, Mariofanna Milanova, Shereen Abdulla, and Zvetomira Svetleff. "Emotion Recognition and Eye Gaze Estimation System: EREGE." In HCI International 2018 – Posters' Extended Abstracts. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92279-9_49.

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Bakshi, Sambit, Rahul Raman, and Pankaj K. Sa. "A Novel Approach for Eye Gaze and Tilt Estimation." In Intelligent Computing, Networking, and Informatics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1665-0_122.

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Dung, Lan-Rong, Yu-Cheng Lee, and Yin-Yi Wu. "On Gaze Estimation Using Integral Projection of Eye Images." In HCI International 2018 – Posters' Extended Abstracts. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92270-6_22.

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Wood, Erroll, Tadas Baltrušaitis, Louis-Philippe Morency, Peter Robinson, and Andreas Bulling. "A 3D Morphable Eye Region Model for Gaze Estimation." In Computer Vision – ECCV 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46448-0_18.

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Maiti, Somsukla, and Akshansh Gupta. "Semi-supervised Contrastive Regression for Estimation of Eye Gaze." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45170-6_26.

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Conference papers on the topic "2D Eye Gaze Estimation"

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Megalingam, Rajesh Kannan, Sakthiprasad Kuttankulungara Manoharan, and Gokul Riju. "Accurate Gaze Estimation: An Innovative Eye Movement Prediction Architecture." In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). IEEE, 2024. http://dx.doi.org/10.1109/iccpct61902.2024.10673363.

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Shi, Yichen, Feifei Zhang, Wenming Yang, Guijin Wang, and Nan Su. "Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10648029.

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Navaneethan, S., Karnam Teja, and A. Pardhiv. "Real-Time Pupil Localization and Eye Gaze Estimation Using Multistage Algorithm for Enhanced Eye Tracking." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10939634.

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Mineo, Raffaele, Isaak Kavasidis, Federica Proietto Salanitri, et al. "Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers." In 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2025. https://doi.org/10.1109/cbms65348.2025.00192.

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Jain, Tanmay, Samiksha Bhatia, Chandan Sarkar, Priyanka Jain, and N. K. Jain. "Real-Time Webcam-Based Eye Tracking for Gaze Estimation: Applications and Innovations." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724037.

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Shao, Guojian, Ming Che, Bingyi Zhang, Kunfang Cen, and Wei Gao. "A Novel Simple 2D Model of Eye Gaze Estimation." In 2010 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2010. http://dx.doi.org/10.1109/ihmsc.2010.81.

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Mansouryar, Mohsen, Julian Steil, Yusuke Sugano, and Andreas Bulling. "3D gaze estimation from 2D pupil positions on monocular head-mounted eye trackers." In ETRA '16: 2016 Symposium on Eye Tracking Research and Applications. ACM, 2016. http://dx.doi.org/10.1145/2857491.2857530.

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Anwar, Suzan, Mariofanna Milanova, Zvetomira Svetleff, and Shereen Abdulla. "Real Time Eye Gaze Estimation." In 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.89.

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Sun, Xinghua, Guoyong Chen, Chunxia Zhao, and Jingyu Yang. "Gaze Estimation of Human Eye." In 2006 6th International Conference on ITS Telecommunications. IEEE, 2006. http://dx.doi.org/10.1109/itst.2006.288901.

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Merad, Djamel, Stéphanie Metz, and Serge Miguet. "Eye gaze estimation from a video." In the 22nd Spring Conference. ACM Press, 2006. http://dx.doi.org/10.1145/2602161.2602180.

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