Dr. Thiago Santini
- Automatic classification of eye movements
- Open-source eye-tracking software
- Pupil detection and tracking methods
- Calibration / Gaze estimation methods
- Algorithms for the analysis and visualization of eye tracking data
Embedded Systems / Computer Architecture and Organization
- Radiation effects
- Operating systems
- Cache memories
- Multi/manycore architectures
- Parallel programming
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.
Effectiveness of Software-Based Hardening for Radiation-Induced Soft Errors in Real-Time Operating Systems
by T. Santini, C. Borchert, C. Dietrich, H. Schirmeier, M. Hoffmann, O. Spinczyk, D. Lohmann, F. R., and P. Rech
In Proceedings of the 30th International Conference on Architecture of Computing Systems - ARCS, 2017.
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.
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.
Head-mounted eye tracking offers remarkable opportunities for research and applications regarding pervasive health monitoring, mental state inference, and human computer interaction in dynamic scenarios. Although a plethora of software for the acquisition of eye-tracking data exists, they often exhibit critical issues when pervasive eye tracking is considered, e.g., closed source, costly eye tracker hardware dependencies, and requiring a human supervisor for calibration. In this paper, we introduce EyeRecToo, an open-source software for real-time pervasive head-mounted eye-tracking. Out of the box, EyeRecToo offers multiple real-time state-of-the-art pupil detection and gaze estimation methods, which can be easily replaced by user implemented algorithms if desired. A novel calibration method that allows users to calibrate the system without the assistance of a human supervisor is also integrated. Moreover, this software supports multiple head-mounted eye-tracking hardware, records eye and scene videos, and stores pupil and gaze information, which are also available as a real-time stream. Thus, EyeRecToo serves as a framework to quickly enable pervasive eye-tracking research and applications.
Robust Pupil Detection and Gaze Estimation
The reliable estimation of the pupil position in eye images is perhaps the most important prerequisite in gaze-based HMI applications. While there are many approaches that enable accurate pupil tracking under laboratory conditions, tracking the pupil in real-world images is highly challenging due to changes in illumination, reflections on glasses or on the eyeball, off-axis camera position, contact lenses, and many more.
|Advanced Topics in Perception Engineering||Summer 2017|
|Basispraktikum Technische Informatik||Winter 2019|
|Basispraktikum Technische Informatik||Summer 2018|
|Computational Models of Visual Attention||Summer 2016|
|Eye Movements and Visual Perception||Winter 2016|
|Eye Movements and Visual Perception||Winter 2017|
|Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme||Summer 2017|
|Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme||Summer 2016|
|Seminar: Advanced Topics in Perception Engineering||Summer 2019|