Physiology-based Recognition of Facial Micro-expressions using EEG and Identification of the Relevant Sensors by Emotion

Mohamed S. Benlamine; Maher Chaouachi; Claude Frasson; Aude Dufresne

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Paper

Physiology-based Recognition of Facial Micro-expressions using EEG and Identification of the Relevant Sensors by Emotion

Topics: Affective Computing; Observation, Modeling and Prediction of User Behavior; Understanding Expressivity from Physiological Data

In Proceedings of the 3rd International Conference on Physiological Computing Systems PhyCS - Volume 1, 130-137, 2016 , Lisbon, Portugal

Authors: Mohamed S. Benlamine ; Maher Chaouachi ; Claude Frasson and Aude Dufresne

Affiliation: University of Montreal, Canada

Keyword(s): Emotions Recognition, Physiological Signal EEG, Facial Expressions, Models Construction.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Biomedical Engineering ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Observation, Modeling and Prediction of User Behavior ; Physiological Computing Systems

Abstract: In this paper, we present a novel work about predicting the facial expressions from physiological signals of the brain. The main contributions of this paper are twofold. a) Investigation of the predictability of facial micro-expressions from EEG. b) Identification of the relevant features to the prediction. To reach our objectives, an experiment was conducted and we have proceeded in three steps: i) We recorded facial expressions and the corresponding EEG signals of participant while he/she is looking at pictures stimuli from the IAPS (International Affective Picture System). ii) We fed machine learning algorithms with time-domain and frequency-domain features of one second EEG signals with also the corresponding facial expression data as ground truth in the training phase. iii) Using the trained classifiers, we predict facial emotional reactions without the need to a camera. Our method leads us to very promising results since we have reached high accuracy. It also provides an addit ional important result by locating which electrodes can be used to characterize specific emotion. This system will be particularly useful to evaluate emotional reactions in virtual reality environments where the user is wearing VR headset that hides the face and makes the traditional webcam facial expression detectors obsolete. (More)

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Paper citation in several formats:

Benlamine, M.; Chaouachi, M.; Frasson, C. and Dufresne, A. (2016). Physiology-based Recognition of Facial Micro-expressions using EEG and Identification of the Relevant Sensors by Emotion. In Proceedings of the 3rd International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-197-7; ISSN 2184-321X, SciTePress, pages 130-137. DOI: 10.5220/0006002701300137

@conference{phycs16,
author={Mohamed S. Benlamine. and Maher Chaouachi. and Claude Frasson. and Aude Dufresne.},
title={Physiology-based Recognition of Facial Micro-expressions using EEG and Identification of the Relevant Sensors by Emotion},
booktitle={Proceedings of the 3rd International Conference on Physiological Computing Systems - PhyCS},
year={2016},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006002701300137},
isbn={978-989-758-197-7},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Physiological Computing Systems - PhyCS
TI - Physiology-based Recognition of Facial Micro-expressions using EEG and Identification of the Relevant Sensors by Emotion
SN - 978-989-758-197-7
IS - 2184-321X
AU - Benlamine, M.
AU - Chaouachi, M.
AU - Frasson, C.
AU - Dufresne, A.
PY - 2016
SP - 130
EP - 137
DO - 10.5220/0006002701300137
PB - SciTePress