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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. (More)

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Paper citation in several formats:
Santini, T.; Fuhl, W.; Geisler, D. and Kasneci, E. (2017). EyeRecToo: Open-source Software for Real-time Pervasive Head-mounted Eye Tracking. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 96-101. DOI: 10.5220/0006224700960101

@conference{visapp17,
author={Thiago Santini. and Wolfgang Fuhl. and David Geisler. and Enkelejda Kasneci.},
title={EyeRecToo: Open-source Software for Real-time Pervasive Head-mounted Eye Tracking},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={96-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006224700960101},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - EyeRecToo: Open-source Software for Real-time Pervasive Head-mounted Eye Tracking
SN - 978-989-758-227-1
IS - 2184-4321
AU - Santini, T.
AU - Fuhl, W.
AU - Geisler, D.
AU - Kasneci, E.
PY - 2017
SP - 96
EP - 101
DO - 10.5220/0006224700960101
PB - SciTePress