Tobias Appel

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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 - 75458
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
tobias.appel@uni-tuebingen.de
Office
Sand 14, C205a
Office hours
on appointment

Research Interests

  • Eye-tracking applications in psychological research
  • Machine learning
  • Computer vision
  • Cognitive load detection
  • Eye tracking and self-regulation
  • Blink detection

Network

Publications

Pupil diameter differentiates expertise in dental radiography visual search

may, 2020

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

PDF BIB

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

jun, 2018

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

PDF BIB

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

sep, 2016

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

PDF BIB

Research

Blink Detection

Blinks are an indicator for fatigue or drowsiness and can assist in the diagnose of mental disorders, such as schizophrenia. Additionally, a blink that obstructs the pupil impairs the performance of other eye-tracking algorithms, such as pupil detection, and often results in noise to the gaze estimation. The algorithm presented here, is tailored towards head-mounted eye trackers and is robust to calibration-based variations like translation or rotation of the eye. The proposed approach reached 96,35% accuracy for a realistic and challenging data set and in real-time even on low-end devices, rendering the proposed method suited for pervasive eye tracking.

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Teaching

Course Term
Seminar: Advanced Topics in Perception Engineering

News

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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