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Authors: Aniana Cruz 1 ; Diogo Garcia 1 ; Gabriel Pires 2 and Urbano Nunes 1

Affiliations: 1 University of Coimbra, Portugal ; 2 University of Coimbra and Polytechnic Institute of Tomar, Portugal

ISBN: 978-989-758-069-7

Keyword(s): EOG Signal, Facial Expression, Avatar, Classification.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Detection and Identification ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The ability of an intelligent system to recognize the user’s emotional and mental states is of considerable interest for human-robot interaction and human-machine interfaces. This paper describes an automatic recognizer of the facial expression around the eyes and forehead based on electrooculographic (EOG) signals. Six movements of the eyes, namely, up, down, right, left, blink and frown, are detected and reproduced in an avatar, aiming to analyze how they can contribute for the characterization of facial expression. The recognition algorithm extracts time and frequency domain features from EOG, which are then classified in real-time by a multiclass LDA classifier. The offline and online classification results showed a sensitivity around 92% and 85%, respectively.

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Paper citation in several formats:
Cruz A., Garcia D., Pires G. and Nunes U. (2015). Facial Expression Recognition based on EOG toward Emotion Detection for Human-Robot Interaction.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 31-37. DOI: 10.5220/0005187200310037

@conference{biosignals15,
author={Aniana Cruz and Diogo Garcia and Gabriel Pires and Urbano Nunes},
title={Facial Expression Recognition based on EOG toward Emotion Detection for Human-Robot Interaction},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={31-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005187200310037},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Facial Expression Recognition based on EOG toward Emotion Detection for Human-Robot Interaction
SN - 978-989-758-069-7
AU - Cruz A.
AU - Garcia D.
AU - Pires G.
AU - Nunes U.
PY - 2015
SP - 31
EP - 37
DO - 10.5220/0005187200310037

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