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Authors: Filipe Canento 1 ; Hugo Silva 2 and Ana Fred 1

Affiliations: 1 Instituto de Telecomunicações and IST-UTL, Portugal ; 2 Instituto de Telecomunicações, IST-UTL and PLUX – Wireless Biosignals, Portugal

Keyword(s): Affective Computing, Emotion Recognition, Biosignals, Signal Processing

Abstract: We present an overview and study on the applicability of multimodal electrophysiological data acquisition and processing to emotion recognition. We build on previous work in the field and further explore the emotion elicitation process, by using videos to stimulate emotions in several participants. Elec-trophysiological data from Electrocardiography (ECG), Blood Volume Pulse (BVP), Electrodermal Activity (EDA), Respiration (RESP), Electromyography (EMG), and Peripheral Temperature (SKT) sensors was acquired and used to classify the negative and positive emotions. We evaluate the emotional status identification accuracy both in terms of the target emotions and those reported by the participants, with recognition rates above 70% through Leave One Out Cross Validation (LOOCV) with a k-NN Classifier.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Canento, F.; Silva, H. and Fred, A. (2012). Applicability of Multi-modal Electrophysiological Data Acquisition and Processing to Emotion Recognition. In Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health (BIOSTEC 2012) - MindCare; ISBN 978-989-8425-92-8, SciTePress, pages 59-70. DOI: 10.5220/0003891800590070

@conference{mindcare12,
author={Filipe Canento. and Hugo Silva. and Ana Fred.},
title={Applicability of Multi-modal Electrophysiological Data Acquisition and Processing to Emotion Recognition},
booktitle={Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health (BIOSTEC 2012) - MindCare},
year={2012},
pages={59-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003891800590070},
isbn={978-989-8425-92-8},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health (BIOSTEC 2012) - MindCare
TI - Applicability of Multi-modal Electrophysiological Data Acquisition and Processing to Emotion Recognition
SN - 978-989-8425-92-8
AU - Canento, F.
AU - Silva, H.
AU - Fred, A.
PY - 2012
SP - 59
EP - 70
DO - 10.5220/0003891800590070
PB - SciTePress

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