Authors:
Thiago Santini
;
Wolfgang Fuhl
;
David Geisler
and
Enkelejda Kasneci
Affiliation:
University of Tübingen, Germany
Keyword(s):
Eye Movements, Pupil Detection, Calibration, Gaze Estimation, Open-source, Eye Tracking, Data Acquisition, Human-computer Interaction, Real-time, Pervasive.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image and Video Analysis
;
Visual Attention and Image Saliency
Abstract:
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-ofthe-
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 ey
e 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. Available at: www.ti.uni-tuebingen.de/perception.
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