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Authors: Naina Dhingra ; Christian Hirt ; Manuel Angst and Andreas Kunz

Affiliation: Innovation Center Virtual Reality, ETH Zurich, Zurich, Switzerland

Keyword(s): Eye Gaze, Eye Tracker, OpenFace, Machine Learning, Support Vector Machine, Regression, Data Processing.

Abstract: Non-verbal communication in a team meeting is important to understand the essence of the conversation. Among other gestures, eye gaze shows the focus of interest on a common workspace and can also be used for an interpersonal synchronisation. If this non-verbal information is missing and or cannot be perceived by blind and visually impaired people (BVIP), they would lack important information to get fully immersed in the meeting and may feel alienated in the course of the discussion. Thus, this paper proposes an automatic system to track where a sighted person is gazing at. We use the open source software ’OpenFace’ and develop it as an eye tracker by using a support vector regressor to make it work similarly to commercially available expensive eye trackers. We calibrate OpenFace using a desktop screen with a 2×3 box matrix and conduct a user study with 28 users on a big screen (161.7 cm x 99.8 cm x 11.5 cm) with a 1×5 box matrix. In this user study, we compare the results o f our developed algorithm for OpenFace to an SMI RED 250 eye tracker. The results showed that our work achieved an overall relative accuracy of 58.54%. (More)

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Paper citation in several formats:
Dhingra, N.; Hirt, C.; Angst, M. and Kunz, A. (2020). Eye Gaze Tracking for Detecting Non-verbal Communication in Meeting Environments. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - HUCAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 239-246. DOI: 10.5220/0009359002390246

@conference{hucapp20,
author={Naina Dhingra. and Christian Hirt. and Manuel Angst. and Andreas Kunz.},
title={Eye Gaze Tracking for Detecting Non-verbal Communication in Meeting Environments},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - HUCAPP},
year={2020},
pages={239-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009359002390246},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - HUCAPP
TI - Eye Gaze Tracking for Detecting Non-verbal Communication in Meeting Environments
SN - 978-989-758-402-2
IS - 2184-4321
AU - Dhingra, N.
AU - Hirt, C.
AU - Angst, M.
AU - Kunz, A.
PY - 2020
SP - 239
EP - 246
DO - 10.5220/0009359002390246
PB - SciTePress

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