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Authors: Thiago Santini ; Wolfgang Fuhl ; Thomas Kübler and Enkelejda Kasneci

Affiliation: University of Tübingen, Germany

ISBN: 978-989-758-175-5

Keyword(s): Eye Movements, Recording Software, Pupil Detection, Calibration, Open-source, Data Acquisition.

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 human computer interaction in dynamic scenarios (e.g., driving assistance). Although a plethora of proprietary software for the acquisition of such eyetracking data exists, all of them are plagued by a critical underlying issue: their source code is not available to the end user. Thus, a researcher is left with few options when facing a scenario in which the proprietary software does not perform as expected. In such a case, the researcher is either forced to change the experimental setup (which is undesirable) or invest a considerable amount of time and money in a different eye-tracking system (which may also underperform). In this paper, we introduce EyeRec, an open-source data acquisition software for head-mounted eye-tracking. Out of the box, EyeRec offers real-time state-of-the-art pupil detection and gaze estimation, which can be easily replaced by user implemented algorithms if desired. Moreover, this software support s 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, EyeRec can be an efficient means towards facilitating gazed-based human computer interaction research and applications. Available at: www.perception.uni-tuebingen.de (More)

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Paper citation in several formats:
Santini, T.; Fuhl, W.; Kübler, T. and Kasneci, E. (2016). EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 384-389. DOI: 10.5220/0005758903840389

@conference{visapp16,
author={Thiago Santini. and Wolfgang Fuhl. and Thomas Kübler. and Enkelejda Kasneci.},
title={EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={384-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005758903840389},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking
SN - 978-989-758-175-5
AU - Santini, T.
AU - Fuhl, W.
AU - Kübler, T.
AU - Kasneci, E.
PY - 2016
SP - 384
EP - 389
DO - 10.5220/0005758903840389

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