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Real-time Emotion Recognition - Novel Method for Geometrical Facial Features Extraction

Topics: Camera Networks and Vision; Entertainment Imaging Applications; Face and Expression Recognition; Features Extraction; Human and Computer Interaction; Image Formation, Acquisition Devices and Sensors; Machine Learning Technologies for Vision; Medical Image Applications; Object Detection and Localization; Optical Flow and Motion Analyses; Tracking and Visual Navigation

Authors: Claudio Loconsole 1 ; Catarina Runa Miranda 2 ; Gustavo Augusto 2 ; Antonio Frisoli 1 and Verónica Costa Orvalho 2

Affiliations: 1 PERCRO Laboratory and Scuola Superiore Sant'Anna, Italy ; 2 Universidade do Porto, Portugal

ISBN: 978-989-758-003-1

Keyword(s): Human-computer interaction, Emotion Recognition, Computer Vision.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Entertainment Imaging Applications ; Features Extraction ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Medical Image Applications ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Tracking and Visual Navigation

Abstract: Facial emotions provide an essential source of information commonly used in human communication. For humans, their recognition is automatic and is done exploiting the real-time variations of facial features. However, the replication of this natural process using computer vision systems is still a challenge, since automation and real-time system requirements are compromised in order to achieve an accurate emotion detection. In this work, we propose and validate a novel methodology for facial features extraction to automatically recognize facial emotions, achieving an accurate degree of detection. This methodology uses a real-time face tracker output to define and extract two new types of features: eccentricity and linear features. Then, the features are used to train a machine learning classifier. As result, we obtain a processing pipeline that allows classification of the six basic Ekman’s emotions (plus Contemptuous and Neutral) in real-time, not requiring any manual intervention or prior information of facial traits. (More)

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Paper citation in several formats:
Loconsole C., Runa Miranda C., Augusto G., Frisoli A. and Costa Orvalho V. (2014). Real-time Emotion Recognition - Novel Method for Geometrical Facial Features Extraction.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 378-385. DOI: 10.5220/0004738903780385

@conference{visapp14,
author={Claudio Loconsole and Catarina Runa Miranda and Gustavo Augusto and Antonio Frisoli and Verónica Costa Orvalho},
title={Real-time Emotion Recognition - Novel Method for Geometrical Facial Features Extraction},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={378-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004738903780385},
isbn={978-989-758-003-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Real-time Emotion Recognition - Novel Method for Geometrical Facial Features Extraction
SN - 978-989-758-003-1
AU - Loconsole C.
AU - Runa Miranda C.
AU - Augusto G.
AU - Frisoli A.
AU - Costa Orvalho V.
PY - 2014
SP - 378
EP - 385
DO - 10.5220/0004738903780385

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