Dr. Thomas Kübler
University of Tübingen
Dpt. of Computer Science
- +49 - (0) 70 71 - 29 - 78996
- +49 - (0) 70 71 - 29 - 50 62
- Sand 14, C205a
- Office hours
- on appointment
My research concerns all aspects of eye-tracking, from the design of a physical recording device, the necessary image processing steps via classical computer vision as well as DNNs, to the high-level interpretation of recorded gaze sequences through machine learning. I work on assessing data quality, visualization and gaze analysis tools in various applications in the medical, educational, automotive and art historian fields.
With my Spin-Off Look! we develop eye-tracking solutions for automotive applications as well as in-vehicle head-mounted devices for driving schools and instructor teaching.
Our algorithms for the registration and analysis of gaze data are well suited to infer cognitive processes such as attention and vigilance solely from the movement of the eyes - and are therefore an excellent complementary factor to traditional measures such as perclos, head movements or gaze-on-road. This adds to robustness and sensitivity of driver monitoring systems by enabling the vehicle to sense the current attentional state of the driver.
Driving instructors are enabled by our head-mounted eye-tracking devices to see the streets through the eyes of their students. That way they can provide efficient feedback and speed up the learning process by making students aware of the importance of correct visual exploration of their surroundings.
- Gaze-based driver assistance and monitoring systems
- Computational models of human gaze behavior
- Algorithms for the comparison of exploratory gaze sequences
- Eye-tracking data quality in real-world applications
- Algorithms and tools for the analysis and visualization of eye-tracking data
- Head-mounted eye-tracking hardware
Low Power Scanned Laser Eye Tracking for Retinal Projection AR Glasses
Johannes Meyer, Thomas Schlebusch, Thomas C Kübler, and Enkelejda Kasneci. Eye Tracking Research and Applications. ACM, 2020.
The Perception Engineer’s Toolkit for Eye-Tracking data analysis
Thomas C Kübler. Eye Tracking Research and Applications. ACM, 2020.
Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing
Nora Castner, Thomas C Kübler, Juliane Richter, Therese Eder, Fabian Huettig, Constanze Keutel, and Enkelejda Kasneci. Eye Tracking Research and Applications. ACM, 2020.
Improving Real-Time CNN-Based Pupil Detection Through Domain-Specific Data Augmentation
S. Eivazi, T. Santini, A. Keshavarzi, T. C. Kübler, and A. Mazzei. Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) – To Appear, 2019.
Ferns for area of interest free scanpath classification
W. Fuhl, N. Castner, T. C. Kübler, A. Lotz, W. Rosenstiel, and E. Kasneci. Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2019.
Eye-Hand Behavior in Human-Robot Shared Manipulation
R. M., T. Santini, T. C. Kübler, E. Kasneci, S. Srinivasa, and H. Admoni. Proceedings of the 13th Annual ACM/IEEE International Conference on Human Robot Interaction, 2018.
An Inconspicuous and Modular Head-Mounted Eye Tracker
S. Eivazi, T. Kübler, T. Santini, and E. Kasneci. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.
Automatic generation of saliency-based areas of interest
W. Fuhl, T. Kübler, T. Santini, and E. Kasneci. Symposium on Vision, Modeling and Visualization (VMV), 2018.
Region of interest generation algorithms for eye tracking data
W. Fuhl, T. C. Kübler, H. Brinkmann, R. Rosenberg, W. Rosenstiel, and E. Kasneci. Third Workshop on Eye Tracking and Visualization (ETVIS), in conjunction with ACM ETRA, 2018.
Scanpath comparison in medical image reading skills of dental students
N. Castner, E. Kasneci, T. C. Kübler, K. Scheiter, and J. Richter. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA), 2018.
Eye movement simulation and detector creation to reduce laborious parameter adjustments
W. Fuhl, T. Santini, T. Kuebler, N. Castner, W. Rosenstiel, and E. Kasneci. arXiv preprint arXiv:1804.00970, 2018.
EyeLad: Remote Eye Tracking Image Labeling Tool
W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, and E. Kasneci. 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), 2017.
Algorithms for the comparison of visual scan patterns
T. C. Kübler. PhD thesis. University of Tübingen, 2017.
Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth
E. Kasneci, T. C. Kübler, K. Broelemann, and G. Kasneci. Computers in Human Behavior, Elsevier 68: 450-455, 2017.
Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection
W. Fuhl, T. C. Kübler, D. Hospach, O. Bringmann, W. Rosenstiel, and E. Kasneci. Journal of Eye Movement Research 10(3), 2017.
Automatic Mapping of Remote Crowd Gaze to Stimuli in the Classroom
T. Santini, T. C. Kübler, L. Draghetti, P. Gerjets, W. Wagner, U. Trautwein, and E. Kasneci. Eye Tracking Enhanced Learning (ETEL2017), 2017.
Monitoring Response Quality During Campimetry Via Eye-Tracking
G. Dambros, J. Ungewiss, T. C. Kübler, E. Kasneci, and M. Spüler. Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM, 2017.
EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking
T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 3: VISAPP: 386–391, 2016.
Rendering refraction and reflection of eyeglasses for synthetic eye tracker images
T. C. Kübler, T. Rittig, J. Ungewiss, C. Krauss, and E. Kasneci. ACM Symposium on Eye Tracking Research and Applications, ETRA 2016, 2016.
ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
W. Fuhl, T. Santini, T. C. Kübler, and E. Kasneci. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 123–130, 2016.
Bayesian Identification of Fixations, Saccades, and Smooth Pursuits
T. Santini, W. Fuhl, T. C. Kübler, and E. Kasneci. Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), pages 163–170, 2016.
SubsMatch 2.0: Scanpath comparison and classification based on subsequence frequencies
T. C. Kübler, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci. Behavior Research Methods online first: 1-17, 2016.
Eyes Wide Open? Eyelid Location and Eye Aperture Estimation for Pervasive Eye Tracking in Real-World Scenarios
W. Fuhl, T. Santini, D. Geisler, T. C. Kübler, W. Rosenstiel, and E. Kasneci. ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication – PETMEI 2016, 2016.
Novel methods for analysis and visualization of saccade trajectories
T. C. Kübler, W. Fuhl, R. Rosenberg, W. Rosenstiel, and E. Kasneci. 3. ECCV Workshop VISART 2016, 2016.
Towards Automated Scan Pattern Analysis for Dynamic Scenes
J. Ungewiss, T. C. Kübler, D.R. Bukenberger, E. Kasneci, and U. Schiefer. The Eye, The Brain And The Auto 2015, 2015.
Online Recognition of Fixations, Saccades, and Smooth Pursuits for Automated Analysis of Traffic Hazard Perception
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.
Analysis of eye movements with Eyetrace
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.
Eyetrace2014: Eyetracking Data Analysis Tool
K. Sippel, T. C. Kübler, W. Fuhl, G. Schievelbein, R. Rosenberg, and W. Rosenstiel. 8th International Conference on Health Informatics, Healthinf 2015, 2015.
Exploiting the potential of eye movements analysis in the driving context
E. Kasneci, T. C. Kübler, C. Braunagel, W. Fuhl, W. Stolzmann, and W. Rosenstiel. 15. Internationales Stuttgarter Symposium Automobil- und Motorentechnik. Springer Fachmedien Wiesbaden, 2015.
ExCuSe: Robust Pupil Detection in Real-World Scenarios
W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci. 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015), 2015.
Automated Comparison of Scanpaths in Dynamic Scenes
T. C. Kübler and E. Kasneci. Pfeiffer, Thies ; Essig, Kai (Hrsg.): Proceedings of the 2nd International Workshop on Solutions for Automatic Gaze Data Analysis 2015 (SAGA 2015), 2015.
Automated Visual Scanpath Analysis Reveals the Expertise Level of Micro-neurosurgeons
T. C. Kübler, S. Eivazi, and E. Kasneci. MICCAI 15 Workshop on Interventional Microscopy, 2015.
Driving with Glaucoma: Task Performance and Gaze Movements
T. C. Kübler, E. Kasneci, K. Aehling, M. Heister, W. Rosenstiel, U. Schiefer, and E. Papageorgiou. Optometry and Vision Science 92(11): 1037-1046, 2015.
Driving with Homonymous Visual Field Defects: Driving Performance and Compensatory Gaze Movements
T. C. Kübler, E. Kasneci, W. Rosenstiel, K. Aehling, M. Heister, K. Nagel, U. Schiefer, and E. Papageorgiou. Journal of Eye Movement Research 8(5): 1-11, 2015.
Arbitrarily shaped areas of interest based on gaze density gradient
W. Fuhl, T. C. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci. European Conference on Eye Movements, ECEM 2015, 2015.
The Applicability of Probabilistic Methods to the Online Recognition of Fixations and Saccades in Dynamic Scenes
E. Kasneci, G. Kasneci, T. C. Kübler, and W. Rosenstiel. Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 323-326, 2014.
SubsMatch: Scanpath Similarity in Dynamic Scenes based on Subsequence Frequencies
T. C. Kübler, E. Kasneci, and W. Rosenstiel. Proceedings of the 8th Symposium on Eye Tracking Research and Applications, ETRA 2014, pages 319-322, 2014.
Rule-based classification of visual field defects
E. Kasneci, G. Kasneci, U. Schiefer, and W. Rosenstiel. 7th International Conference on Health Informatics (HEALTHINF 2014), 2014.
Stress-indicators and exploratory gaze for the analysis of hazard perception in patients with visual field loss
T. C. Kübler, E. Kasneci, W. Rosenstiel, U. Schiefer, K. Nagel, and E. Papageorgiou. Transportation Research Part F: Traffic Psychology and Behaviour 24: 231 - 243, 2014.
Towards automated comparison of eye-tracking recordings in dynamic scenes
T. C. Kübler, D. R., J. Ungewiss, A. Wörner, C. Rothe, U. Schiefer, W. Rosenstiel, and E. Kasneci. EUVIP 2014, 2014.
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
E. Tafaj, T. C. Kübler, G. Kasneci, W. Rosenstiel, and M. Bogdan. Artificial Neural Networks and Machine Learning (ICANN 2013), 2013.
Auswirkungen des visuellen Explorationsverhaltens von Patienten mit binokularen Gesichtsfelddefekten auf alltagsrelevante Tätigkeiten - Ergebnisse der TUTOR-Studie
U. Schiefer, T. C. Kübler, M. Heister, K. Aehling, K. Sippel, E. Papageorgiou, W. Rosenstiel, and E. Tafaj. 111. DOG-Kongress, 2013.
Vishnoo - An Open-Source Software for Vision Research
E. Tafaj, T. C. Kübler, J. Peter, U. Schiefer, and M. Bogdan. 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2011), Bristol, UK, 2011.
A dataset of 55 rides of naturalistic driving. Annotated via with appearance based eye-tracking and driver attention rating.
Eyetrace is a tool for analysis of eye-tracking data. It has the approach to bunch a variety of different evaluation methods for a large share of eye trackers supporting scientific work and medical diagnosis. To allow EyeTrace to be compatible to different eye trackers, an additional tool called Eyetrace Butler is used. The Eyetrace Butler performs a data preprocessing and conversion for analysis with Eyetrace. It provides plugins for different eye trackers and converts their data into a format that can be imported and used by Eyetrace.
Our eye movements are driven by a continuous trade-off between the need for detailed examination of objects of interest and the necessity to keep an overview of our surrounding. In consequence, behavioral patterns that are characteristic for our actions and their planning are typically manifested in the way we move our eyes to interact with our environment. Identifying such patterns from individual eye movement measurements is however highly challenging.
Vishnoo - A Visual Search Examination Tool
Vishnoo (Visual Search Examination Tool) is an integrated framework that combines configurable search tasks with gaze tracking capabilities, thus enabling the analysis of both, the visual field and the visual attention.