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Authors: Kornél Bertók and Attila Fazekas

Affiliation: University of Debrecen, Hungary

Keyword(s): Gesture Recognition, Head Pose Estimation, Facial Feature Extraction, Head Gestures.

Abstract: The topic of this article is a basic research considering a human-computer interaction. The system is still under construction, however its basis – facial features tracking and head pose estimation – is ready to use, thus it could bring a head gesture controlled system into reality. We present an approach to control applications with head movements. We construct an Active Appearance Model (AAM) for facial feature extraction. Based on the landmarks of AAM shape, the head pose is modelled in the three-dimensional space by three Euler angles of rotation around the three axes orthogonal to each other, and three orthogonal translation directions. Regarding all the above mentioned facts, we are capable of recognizing gestures like head pointing, nodding, and shaking, blinking, opening and closing mouth.

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Paper citation in several formats:
Bertók, K. and Fazekas, A. (2012). GESTURE RECOGNITION - Control of a Computer with Natural Head Movements. In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2012) - GRAPP; ISBN 978-989-8565-02-0; ISSN 2184-4321, SciTePress, pages 527-530. DOI: 10.5220/0003943105270530

@conference{grapp12,
author={Kornél Bertók. and Attila Fazekas.},
title={GESTURE RECOGNITION - Control of a Computer with Natural Head Movements},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2012) - GRAPP},
year={2012},
pages={527-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003943105270530},
isbn={978-989-8565-02-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2012) - GRAPP
TI - GESTURE RECOGNITION - Control of a Computer with Natural Head Movements
SN - 978-989-8565-02-0
IS - 2184-4321
AU - Bertók, K.
AU - Fazekas, A.
PY - 2012
SP - 527
EP - 530
DO - 10.5220/0003943105270530
PB - SciTePress