Prof. Dr. Enkelejda Kasneci

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University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 74015
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
enkelejda.kasneci@uni-tuebingen.de
Office
Sand 14, C221
Office hours
on appointment

Publications on Google Scholar

Enkelejda Kasneci is a Professor of Computer Science at the University of Tübingen, Germany, where she leads the Human-Computer Interaction Lab. As a BOSCH scholar, she received her M.Sc. degree in Computer Science from the University of Stuttgart in 2007. In 2013, she received her PhD in Computer Science from the University of Tübingen. For her PhD research, she was awarded the research prize of the Federation Südwestmetall in 2014. From 2013 to 2015, she was a postdoctoral researcher and a Margarete-von-Wrangell Fellow at the University of Tübingen. Her research evolves around the application of machine learning for intelligent and perceptual human-computer interaction. She served as academic editor for PlosOne and as a TPC member and reviewer for several major conferences and journals.

Research Interests

  • Eye-tracking methods and applications, especially eye tracking in the wild
  • Applied machine learning
  • Eye movements and driving
  • Autonomous driving and Driver Observation Technology
  • Eye movements and VR/AR

Invited Talks

  • 2020: Closing Keynote at Augmented Human, AH 2020
  • 2019: Machine Learning in Education, FernUni Hagen
  • 2019: Keynote at the ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
  • 2019: Opening Keynote European Conference on Eye Movements, ECEM 2019
  • 2018: Keynote on Cognitive Interfaces, Ada-Lovelace-Festival, Berlin
  • 2018: Global Female Leaders Summit, Berlin
  • 2017: Hub.Berlin
  • 2017: Ada-Lovelace-Festival, Berlin
  • 2017: Eye-Tracking während des Fahrens, OCG Jahresopening 2017, Vienna
  • 2016: It’s in your eyes – How eye tracking will shape our future, Ada-Lovelace-Festival, Berlin
  • 2016: Maschinelles Lernen und Eye-Tracking-Technologie zur Erforschung der Mechanismen der visuellen Wahrnehmung, INFORMATIK2016, Klagenfurt
  • 2015: Eye tracking in natural settings - Challenges and opportunities, Institut für Neuro- und Bioinformatik, Universität zu Lübeck
  • 2015: Arbitrarily shaped areas of interest based on gaze density gradient, European Conference on Eye Movements, ECEM 2015, Vienna
  • 2015: Exploiting the potential of eye movements analysis in the driving context, Perceptual User Interfaces Group, Max Planck Institute for Informatics, Saarbrücken
  • 2015: Eye movements and driving, Volkswagen Research Center, Wolfsburg
  • 2014: Online Eye-Tracking Data Analysis, SMI Vision, Research Center Berlin
  • 2013: Towards the Automated Recognition of Assistance Need for Drivers with Impaired Visual Field, Mercedes-Benz Technology Center Sindelfingen

Scholarships, Awards and Administrative Functions

Publications

RemoteEye: An open-source high-speed remote eye tracker

by Benedikt Hosp, Shahram Eivazi, Maximilian Maurer, Woflgang Fuhl, David Geisler, and Enkelejda Kasneci

In Behavior Research Methods. Springer, 2020.

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Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing

by Nora Castner, Thomas C Kübler, Juliane Richter, Therese Eder, Fabian Huettig, Constanze Keutel, and Enkelejda Kasneci

In Eye Tracking Research and Applications. ACM, 2020.

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Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework

by Efe Bozkir, Ali B. Uenal, Mete Akguen, Enkelejda Kasneci, and Nico Pfeifer

In Eye Tracking Research and Applications. ACM, 2020.

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A Novel -Eye-Tracking Sensor for AR Glasses Based on Laser Self-Mixing Showing Exceptional Robustness Against Illumination

by Johannes Meyer, Thomas Schlebusch, Hans Spruit, Jochen Hellmig, and Enkelejda Kasneci

In Eye Tracking Research and Applications. ACM, 2020.

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Exploiting the GBVS for Saliency aware Gaze Heatmaps

by David Geisler, Daniel Weber, Nora Castner, and Enkelejda Kasneci

In Eye Tracking Research and Applications. ACM, 2020.

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A MinHash approach for fast scanpath classification

by David Geisler, Nora Castner, Gjergji Kasneci, and Enkelejda Kasneci

In Eye Tracking Research and Applications. ACM, 2020.

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Training Decision Trees as Replacement for Convolution Layers

by W. Fuhl, G. Kasneci, W. Rosenstiel, and E. Kasneci

In Conference on Artificial Intelligence, AAAI, 2020.

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Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation

by W. Fuhl, H. Gao, and E. Kasneci

In ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.

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Neural networks for optical vector and eye ball parameter estimation

by W. Fuhl, H. Gao, and E. Kasneci

In ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.

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Pupil diameter differentiates expertise in dental radiography visual search

by Nora Castner, Tobias Appel, Thérése Eder, Juliane Richter, Katharina Scheiter, Constanze Keutel, Fabian Hüttig, Andrew Duchowski, and Enkelejda Kasneci

In PLOS ONE 15(5): 1-19. Public Library of Science, 2020.

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Encodji: Encoding Gaze Data Into Emoji Space for an Amusing Scanpath Classification Approach ;)

by Wolfgang Fuhl, Efe Bozkir, Benedikt Hosp, Nora Castner, David Geisler, Thiago C., and Enkelejda Kasneci

In Eye Tracking Research and Applications, 2019.

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Person Independent, Privacy Preserving, and Real Time Assessment of Cognitive Load using Eye Tracking in a Virtual Reality Setup

by E. Bozkir, D. Geisler, and E. Kasneci

In The IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Workshops, 2019.

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Improving Real-Time CNN-Based Pupil Detection Through Domain-Specific Data Augmentation

by S. Eivazi, T. Santini, A. Keshavarzi, T. C. Kübler, and A. Mazzei

In Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) – To Appear, 2019.

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Get a Grip: Slippage-Robust and Glint-Free Gaze Estimation for Real-Time Pervasive Head-Mounted Eye Tracking

by T. Santini, D. Niehorster, and E. Kasneci

In Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2019.

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Ferns for area of interest free scanpath classification

by W. Fuhl, N. Castner, T. C. Kübler, A. Lotz, W. Rosenstiel, and E. Kasneci

In Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2019.

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500,000 images closer to eyelid and pupil segmentation

by W. Fuhl, W. Rosenstiel, and E. Kasneci

In Computer Analysis of Images and Patterns, CAIP, 2019.

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RemoteEye: An Open Source remote Eye Tracker

by B. Hosp, S. Evazi, M. Maurer, W. Fuhl, and E. Kasneci

In Behavior Research Methods, BRM, 2019.

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The applicability of Cycle GANs for pupil and eyelid segmentation, data generation and image refinement

by W. Fuhl, D. Geisler, W. Rosenstiel, and E. Kasneci

In International Conference on Computer Vision Workshops, ICCVW, 2019.

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Learning to validate the quality of detected landmarks

by W. Fuhl and E. Kasneci

In International Conference on Machine Vision, ICMV, 2019.

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Assessment of Driver Attention During a Safety Critical Situation in VR to Generate VR-based Training

by E. Bozkir, D. Geisler, and E. Kasneci

In ACM Symposium on Applied Perception 2019, 2019.

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Eye-Hand Behavior in Human-Robot Shared Manipulation

by R. M., T. Santini, T. C. Kübler, E. Kasneci, S. Srinivasa, and H. Admoni

In Proceedings of the 13th Annual ACM/IEEE International Conference on Human Robot Interaction, 2018.

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Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference

by David Geisler, Dieter Fox, and Enkelejda Kasneci

In International Conference on Robotics and Automation (ICRA), 2018.

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PuRe: Robust Pupil Detection for Real-Time Pervasive Eye Tracking

by T. Santini, W. Fuhl, and E. Kasneci

In Elsevier Computer Vision and Image Understanding To Appear, 2018.

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The Art of Pervasive Eye Tracking: Unconstrained Eye Tracking in the Austrian Gallery Belvedere

by T. Santini, H. Brinkmann, L. Reistätter, H. Leder, R. Rosenberg, W. Rosenstiel, and E. Kasneci

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA): Adjunct publication – PETMEI 2018, 2018.

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Teachers’ Perception in the Classroom

by Ö. Sümer, P. Goldberg, K. Stürmer, T. Seidel, P. Gerjets, U. Trautwein, and E. Kasneci

In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018.

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PuReST: Robust Pupil Tracking for Real-Time Pervasive Eye Tracking

by T. Santini, W. Fuhl, and E. Kasneci

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2018.

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Overlooking: The nature of gaze behavior and anomaly detection in expert dentists

by Nora Castner, Solveig Klepper, Lena Kopnarski, Fabian Hüttig, Constanze Keutel, Katharina Scheiter, Juliane Richter, T. Eder, and Enkelejda Kasneci

In Workshop on Modeling Cognitive Processes from Multimodal Data (MCPMD’18 ), 2018.

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CBF:Circular binary features for robust and real-time pupil center detection

by W. Fuhl, D. Geisler, T. Santini, T. Appel, W. Rosenstiel, and E. Kasneci

In ACM Symposium on Eye Tracking Research & Applications, 2018.

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Teachers’ Perception in the Classroom

by Ö. Sümer, P. Goldberg, K. Stürmer, T. Seidel, P. Gerjets, U. Trautwein, and E. Kasneci

In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018.

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Development and Evaluation of a Gaze Feedback System Integrated into EyeTrace

by K. Otto, N. Castner, D. Geisler, and E. Kasneci

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.

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An Inconspicuous and Modular Head-Mounted Eye Tracker

by S. Eivazi, T. Kübler, T. Santini, and E. Kasneci

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.

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Automatic generation of saliency-based areas of interest

by W. Fuhl, T. Kübler, T. Santini, and E. Kasneci

In Symposium on Vision, Modeling and Visualization (VMV), 2018.

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Region of interest generation algorithms for eye tracking data

by W. Fuhl, T. C. Kübler, H. Brinkmann, R. Rosenberg, W. Rosenstiel, and E. Kasneci

In Third Workshop on Eye Tracking and Visualization (ETVIS), in conjunction with ACM ETRA, 2018.

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Scanpath comparison in medical image reading skills of dental students

by N. Castner, E. Kasneci, T. C. Kübler, K. Scheiter, and J. Richter

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2018.

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MAM: Transfer learning for fully automatic video annotation and specialized detector creation

by W. Fuhl, N. Castner, L. Zhuang, M. Holzer, W. Rosenstiel, and E. Kasneci

In International Conference on Computer Vision Workshops, ICCVW, 2018.

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Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools

by W. Fuhl and E. Kasneci

In Poster at Egocentric Perception, Interaction and Computing, EPIC, 2018.

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BORE: Boosted-oriented edge optimization for robust, real time remote pupil center detection

by W. Fuhl, S. Eivazi, B. Hosp, A. Eivazi, W. Rosenstiel, and E. Kasneci

In Eye Tracking Research and Applications, ETRA, 2018.

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Rule based learning for eye movement type detection

by W. Fuhl, N. Castner, and E. Kasneci

In International Conference on Multimodal Interaction Workshops, ICMIW, 2018.

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Histogram of oriented velocities for eye movement detection

by W. Fuhl, N. Castner, and E. Kasneci

In International Conference on Multimodal Interaction Workshops, ICMIW, 2018.

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Eye movement simulation and detector creation to reduce laborious parameter adjustments

by W. Fuhl, T. Santini, T. Kuebler, N. Castner, W. Rosenstiel, and E. Kasneci

In arXiv preprint arXiv:1804.00970, 2018.

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Online recognition of driver-activity based on visual scanpath classification

by Christian Braunagel, David Geisler, Wolfgang Rosenstiel, and Enkelejda Kasneci

In IEEE Intelligent Transportation Systems Magazine 9(4): 23–36. IEEE, 2017.

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Eye tracking as a tool to evaluate functional ability in everyday tasks in glaucoma

by E. Kasneci, A. A., and J. M.

In Journal of Ophthalmology Article ID 6425913, 2017.

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Saliency Sandbox: Bottom-Up Saliency Framework

by D. Geisler, W. Fuhl, T. Santini, and E. Kasneci

In 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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EyeRecToo: Open-Source Software for Real-Time Pervasive Head-Mounted Eye-Tracking

by T. Santini, W. Fuhl, D. Geisler, and E. Kasneci

In 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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EyeLad: Remote Eye Tracking Image Labeling Tool

by W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, and E. Kasneci

In 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.

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Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios

by W. Fuhl, T. Santini, and E. Kasneci

In IEEE Winter Conference on Applications of Computer Vision (WACV 2017), 2017.

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Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth

by E. Kasneci, T. C. Kübler, K. Broelemann, and G. Kasneci

In Computers in Human Behavior, Elsevier 68: 450-455, 2017.

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Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

by W. Fuhl, T. C. Kübler, D. Hospach, O. Bringmann, W. Rosenstiel, and E. Kasneci

In Journal of Eye Movement Research 10(3), 2017.

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CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction

by T. Santini, W. Fuhl, and E. Kasneci

In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017.

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Towards pervasive eye tracking

by E. Kasneci

In it-Information Technology, De Gruyter Oldenbourg, 2017.

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Using Eye Tracking to Evaluate and Develop Innovative Teaching Strategies for Fostering Image Reading Skills of Novices in Medical Training

by N. Castner, S. Eivazi, K. Scheiter, and E. Kasneci

In Eye Tracking Enhanced Learning (ETEL2017), 2017.

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Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom

by T. Santini, T. C. Kübler, L. Draghetti, P. Gerjets, W. Wagner, U. Trautwein, and E. Kasneci

In Eye Tracking Enhanced Learning (ETEL2017), 2017.

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Towards Intelligent Surgical Microscopes: Surgeons Gaze and Instrument Tracking

by Shahram Eivazi, Wolfgang Fuhl, and Enkelejda Kasneci

In Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Towards automatic skill evaluation in microsurgery

by Shahram Eivazi, Michael Slupina, Wolfgang Fuhl, Hoorieh Afkari, Ahmad Hafez, and Enkelejda Kasneci

In Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Monitoring Response Quality During Campimetry Via Eye-Tracking

by G. Dambros, J. Ungewiss, T. C. Kübler, E. Kasneci, and M. Spüler

In Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM, 2017.

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PupilNet v2.0: Convolutional Neural Networks for Robust Pupil Detection

by W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci

In CoRR, 2017.

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Fast camera focus estimation for gaze-based focus control

by W. Fuhl, T. Santini, and E. Kasneci

In CoRR, 2017.

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Optimal eye movement strategies: a comparison of neurosurgeons gaze patterns when using a surgical microscope

by S. Eivazi, A. Hafez, W. Fuhl, H. Afkari, E. Kasneci, M. Lehecka, and R. Bednarik

In Acta Neurochirurgica, 2017.

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EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking

by T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 3: VISAPP: 386–391, 2016.

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3D Gaze Estimation Using Eye Vergence

by E.G. Mlot, H. Bahmani, S. Wahl, and E. Kasneci

In 9th International Conference on Health Informatics, Healthinf 2016, 2016.

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Rendering refraction and reflection of eyeglasses for synthetic eye tracker images

by T. C. Kübler, T. Rittig, J. Ungewiss, C. Krauss, and E. Kasneci

In ACM Symposium on Eye Tracking Research and Applications, ETRA 2016, 2016.

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On the necessity of adaptive eye movement classification in conditionally automated driving scenarios

by C. Braunagel, D. Geisler, W. Stolzmann, W. Rosenstiel, and E. Kasneci

In ACM Symposium on Eye Tracking Research & Applications, ETRA 2016, 2016.

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ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments

by W. Fuhl, T. Santini, T. C. Kübler, and E. Kasneci

In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 123–130, 2016.

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Bayesian Identification of Fixations, Saccades, and Smooth Pursuits

by T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci

In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 163–170, 2016.

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Pupil detection for head-mounted eye tracking in the wild: An evaluation of the state of the art

by Wolfgang Fuhl, Marc Tonsen, Andreas Bulling, and Enkelejda Kasneci

In Machine Vision and Applications, pages 1-14, 2016.

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SubsMatch 2.0: Scanpath comparison and classification based on subsequence frequencies

by T. C. Kübler, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci

In Behavior Research Methods online first: 1-17, 2016.

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Eyes Wide Open? Eyelid Location and Eye Aperture Estimation for Pervasive Eye Tracking in Real-World Scenarios

by W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, W. Rosenstiel, and E. Kasneci

In ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.

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Brightness- and Motion-Based Blink Detection for Head-Mounted Eye Trackers

by T. Appel, T. Santini, and E. Kasneci

In ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.

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Novel methods for analysis and visualization of saccade trajectories

by T. C. Kübler, W. Fuhl, R. Rosenberg, W. Rosenstiel, and E. Kasneci

3. ECCV Workshop VISART 2016, 2016.

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Non-Intrusive Practitioner Pupil Detection for Unmodified Microscope Oculars

by W. Fuhl, T. Santini, C. Reichert, D. Claus, A. Herkommer, H. Bahmani, K. Rifai, S. Wahl, and E. Kasneci

In Elsevier Computers in Biology and Medicine 79: 36-44, 2016.

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Evaluation of State-of-the-Art Pupil Detection Algorithms on Remote Eye Images

by W. Fuhl, D. Geisler, T. Santini, and E. Kasneci

In ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.

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Feature-based attentional influences on the accommodation response

by H. Bahmani, W. Fuhl, E. Gutierrez, G. Kasneci, E. Kasneci, and S. Wahl

In Vision Sciences Society Annual Meeting Abstract, 2016.

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PupilNet: Convolutional Neural Networks for Robust Pupil Detection

by W. Fuhl, T. Santini, G. Kasneci, and E. Kasneci

In CoRR, 2016.

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Towards Automated Scan Pattern Analysis for Dynamic Scenes

by J. Ungewiss, T. C. Kübler, D.R. Bukenberger, E. Kasneci, and U. Schiefer

In The Eye, The Brain And The Auto 2015, 2015.

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Online Recognition of Fixations, Saccades, and Smooth Pursuits for Automated Analysis of Traffic Hazard Perception

by E. Kasneci, G. Kasneci, T. C. Kübler, and W. Rosenstiel

4: 411-434. Artificial Neural Networks - Springer Series in Bio-/Neuroinformatics (Ed. Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov), Springer International Publishing, 2015.

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Analysis of eye movements with Eyetrace

by T. C. Kübler, K. Sippel, W. Fuhl, G. Schievelbein, J. Aufreiter, R. Rosenberg, W. Rosenstiel, and E. Kasneci

574: 458-471. Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science (CCIS). Springer International Publishing, 2015.

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Exploiting the potential of eye movements analysis in the driving context

by E. Kasneci, T. C. Kübler, C. Braunagel, W. Fuhl, W. Stolzmann, and W. Rosenstiel

In 15. Internationales Stuttgarter Symposium Automobil- und Motorentechnik. Springer Fachmedien Wiesbaden, 2015.

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ExCuSe: Robust Pupil Detection in Real-World Scenarios

by W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci

In 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015), 2015.

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Driver-Activity Recognition in the Context of Conditionally Autonomous Driving

by C. Braunagel, E. Kasneci, W. Stolzmann, and W. Rosenstiel

In 18th International IEEE Conference on Intelligent Transportation Systems (ITSC 2015), 2015.

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Automated Comparison of Scanpaths in Dynamic Scenes

by T. C. Kübler and E. Kasneci

In Pfeiffer, Thies ; Essig, Kai (Hrsg.): Proceedings of the 2nd International Workshop on Solutions for Automatic Gaze Data Analysis 2015 (SAGA 2015), 2015.

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Automated Visual Scanpath Analysis Reveals the Expertise Level of Micro-neurosurgeons

by T. C. Kübler, S. Eivazi, and E. Kasneci

In MICCAI 15 Workshop on Interventional Microscopy, 2015.

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Driving with Glaucoma: Task Performance and Gaze Movements

by T. C. Kübler, E. Kasneci, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou

In Optometry and Vision Science 92(11): 1037-1046, 2015.

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Driving with Homonymous Visual Field Defects: Driving Performance and Compensatory Gaze Movements

by T. C. Kübler, E. Kasneci, W. Rosenstiel, K. Aehling, M. Heister, K. Nagel, U. Schiefer, and E. Papageorgiou

In Journal of Eye Movement Research 8(5): 1-11, 2015.

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Arbitrarily shaped areas of interest based on gaze density gradient

by W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci

In European Conference on Eye Movements, ECEM 2015, 2015.

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Driving with Binocular Visual Field Loss? A Study on a Supervised On-road Parcours with Simultaneous Eye and Head Tracking

by E. Kasneci, K. Sippel, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou

In PLoS ONE 9(2): e87470, 2014.

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The Applicability of Probabilistic Methods to the Online Recognition of Fixations and Saccades in Dynamic Scenes

by E. Kasneci, G. Kasneci, T. C. Kübler, and W. Rosenstiel

In Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 323-326, 2014.

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SubsMatch: Scanpath Similarity in Dynamic Scenes based on Subsequence Frequencies

by T. C. Kübler, E. Kasneci, and W. Rosenstiel

In Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 319-322, 2014.

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Rule-based classification of visual field defects

by E. Kasneci, G. Kasneci, U. Schiefer, and W. Rosenstiel

In 7th International Conference on Health Informatics (HEALTHINF 2014), 2014.

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Gaze guidance for the visually impaired

by T. C. Kübler, E. Kasneci, and W. Rosenstiel

In Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 383-384, 2014.

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Stress-indicators and exploratory gaze for the analysis of hazard perception in patients with visual field loss

by T. C. Kübler, E. Kasneci, W. Rosenstiel, U. Schiefer, K. Nagel, and E. Papageorgiou

In Transportation Research Part F: Traffic Psychology and Behaviour 24: 231 - 243, 2014.

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Binocular Glaucomatous Visual Field Loss and Its Impact on Visual Exploration - A Supermarket Study

by K. Sippel, E. Kasneci, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou

In PLoS ONE 9(8): e106089, 2014.

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Homonymous Visual Field Loss and its Impact on Visual Exploration - A Supermarket Study

by E. Kasneci, K. Sippel, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou

In Translational Vision Science & Technology In Press, 2014.

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Towards automated comparison of eye-tracking recordings in dynamic scenes

by T. C. Kübler, D. R., J. Ungewiss, A. Wörner, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci

In EUVIP 2014, 2014.

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A New Method for Assessing the Exploratory Field of View (EFOV)

by E. Tafaj, S. Hempel, M. Heister, K. Aehling, J. Dietzsch, F. Schaeffel, W. Rosenstiel, and U. Schiefer

In 6th International Conference on Health Informatics, HEALTHINF 2013, 2013.

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Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception

by E. Tafaj, T. C. Kübler, G. Kasneci, W. Rosenstiel, and M. Bogdan

In Artificial Neural Networks and Machine Learning (ICANN 2013), 2013.

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Auswirkungen des visuellen Explorationsverhaltens von Patienten mit binokularen Gesichtsfelddefekten auf alltagsrelevante Tätigkeiten - Ergebnisse der TUTOR-Studie

by U. Schiefer, T. C. Kübler, M. Heister, K. Aehling, K. Sippel, E. Papageorgiou, W. Rosenstiel, and E. Tafaj

In 111. DOG-Kongress, 2013.

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Towards the Automated Recognition of Assistance Need for Drivers with Impaired Visual Field

by E. Kasneci

PhD thesis. Universität Tübingen, 2013.

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Erste Ergebnisse der TUTOR-Pilotstudie: Binokulare Gesichtsfeldausfälle und deren Auswirkungen auf die visuelle Exploration

by U. Schiefer, K. Sippel, M. Heister, K. Aehling, C. Heine, K. Januschowski, E. Papageorgiou, W. Rosenstiel, and E. Tafaj

In Ophthalmologische Nachrichten, 09.2012, 2012.

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Bayesian Online Clustering of Eye-Tracking Data

by E. Tafaj, G. Kasneci, W. Rosenstiel, and M. Bogdan

In Eye Tracking Research and Applications (ETRA 2012), 2012.

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Reliable Classification of visual field defects in automated perimetry using clustering

by E. Tafaj, J. Dietzsch, U. Schiefer, W. Rosenstiel, and M. Bogdan

In Proceedings 8th IASTED/IEEE International Conference on Biomedical Engineering, pages 446 - 451, 2011.

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Methode zur Messung der physiologischen Blendung im Fahrsimulator

by V. Melcher, M. Aust, O. Stefani, E. Lösch, H. Wilhelm, and E. Tafaj

In 57. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e. V.: "Mensch, Technik, Organisation - Vernetzung im Produktentstehungs- und -herstellungsprozess", Chemnitz, 03/2011, 2011.

<a onclick="document.getElementById('bib-containter-VMOEHE032011').style.display='block';" alt="57. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft e. V.: "Mensch, Technik, Organisation - Vernetzung im Produktentstehungs- und -herstellungsprozess", Chemnitz, 03/2011" >BIB</a>

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Fast extraction of neuron morphologies from large-scale electron-microscopic image stacks

by S. Lang, P. Drouvelis, E. Tafaj, P. Bastian, and B. Sakmann

In Journal of Computational Neuroscience, 2011.

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Zukünftige Fahrzeuge adaptieren sich auf den Fahrer: Identifikation charakteristischer Verhaltensmerkmale von Fahrzeugführern unter demographischen Gesichtspunkten

by E. Tafaj, P. Rumbolz, M. Bogdan, J. Wiedemann, and W. Rosenstiel

In GMM-Fachbericht Band 69 zur Tagung Automotive meets Electronics 2011, Dortmund, 2011.

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Vishnoo - An Open-Source Software for Vision Research

by E. Tafaj, T. C. Kübler, J. Peter, U. Schiefer, and M. Bogdan

In 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011.

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Mobile and fast detection of visual field defects for elderly drivers as a necessary input into driver assistance systems for mobility maintenance

by E. Tafaj, C. Uebber, J. Dietzsch, U. Schiefer, M. Bogdan, and W. Rosenstiel

In GMM-Fachbericht Band 64, AmE 2010 - Automotive meets Electronics, pages 47-52, 2010.

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Introduction of a Portable Campimeter Based on a Laptop/Tablet PC

by E. Tafaj, C. Uebber, J. Dietzsch, U. Schiefer, M. Bogdan, and W. Rosenstiel

In Proceedings of the 19th Imaging and Perimetry Society (IPS), Tenerife, Spain, 2010.

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Fahrzeugentwicklung für eine Gesellschaft im demografischen Wandel. H. Häfner, K. Beyreuther, W. Schlicht (Hrsg.). Altern gestalten, Medizin, Technik, Umwelt

by J. Wiedemann, M. Horn, W. Rosenstiel, and E. Tafaj

, pages 109-120. Springer-Verlag Berlin Heidelberg 2010, 2010.

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Teaching

Course Term
Forschungsprojekt AB E. Kasneci
Multimodale Mensch-Maschine Interaktion
Proseminar Grundlagen Mensch-Maschine Interaktion
Seminar Advanced Topics in Perception Engineering
Advanced Topics in Perception Engineering
Computational Models of Visual Attention
Eye Movements and Visual Perception
Eye Movements and Visual Perception
Eye Movements and Visual Perception
Grundlagen der Multimediatechnik
Praktikum zu Grundlagen der Multimediatechnik
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Programmieren mobiler eingebetteter Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme
Seminar: Advanced Topics in Perception Engineering
Eye Tracking in Mobile Computing and Virtual Reality

Open Thesis Topics

10.07.2019

Automatisierter Scanpath Vergleich

Menschen können ihre Aufmerksamkeit gezielt lenken. Eine Methode diese Aufmerksamkeitszuweisung aufzuzeichnen sind Eye-Tracking Aufnahmen: Objekte, die momentan interessant sind, werden mit den Augen fixiert. Oftmals ist es nicht nur interessant, wohin einzelne Individuen ihre Aufmerksamkeit lenken, sondern auch ein Vergleich zwischen Individuen oder verschiedenen Zeitpunkten. Hierzu werden diese auf einfache Elemente reduziert: Fixationen und Sakkaden (schnelle Augenbewegungen). Die zeitliche Abfolge und räumliche Position von Fixationen und Sakkaden nennt man Scanpath. Aktuelle Vergleichsmetoden basieren auf zwei verschiedenen Ansätzen:

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News

24.06.2020

Paper accepted at the International Conference on Pattern Recognition 2020 (ICPR)

The paper “Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction” was accepted at the International Conference on Pattern Recognition 2020.

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06.06.2020

Best paper award at 2020 Eye Tracking and Reseach Applications Conference

The paper “A Min hash approach to scanpath classification” received the best paper award at 2020 Eye Tracking and Reseach Applications Conference (ETRA).

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29.05.2020

Expertise and cognitive load article published in Plos One

Recent Publication in the Plos One Journal (May 2020)

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24.03.2020

RemoteEye published in Behavior Research Methods

Recent Publication in the journal Behavior Research Methods (March 2020)

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19.03.2020

Eight papers accepted at 2020 Eye Tracking and Reseach Applications Conference

The Human - Computer Interaction group (formerly Perception Engineering) are represented with 8 papers at the 2020 Eye Tracking and Reseach Applications Conference (ETRA).

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10.07.2019

New Website

The Perception Engineering Group moves to a new website.

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