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Authors: Rui Henriques and Ana Paiva

Affiliation: University of Lisbon, Portugal

Keyword(s): Mining Physiological Signals, Measuring Affective Interactions, Emotion Recognition and Description.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Devices ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Interactive Physiological Systems ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Theory and Methods ; Wearable Sensors and Systems

Abstract: Measuring affective interactions using physiological signals has become a critical step to understand engagements with human and artificial agents. However, traditional methods for signal analysis are not yet able to effectively deal with the differences of responses across individuals and with flexible sequential behavior. In this work, we rely on empirical results to define seven principles for a robust mining of physiological signals to recognize and characterize affective states. The majority of these principles are novel and driven from advanced pre-processing techniques and temporal data mining methods. A methodology that integrates these principles is proposed and validated using electrodermal signals collected during human-to-human and human-to-robot affective interactions.

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Paper citation in several formats:
Henriques, R. and Paiva, A. (2014). Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions. In Proceedings of the International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-006-2; ISSN 2184-321X, SciTePress, pages 75-82. DOI: 10.5220/0004666400750082

@conference{phycs14,
author={Rui Henriques. and Ana Paiva.},
title={Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - PhyCS},
year={2014},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004666400750082},
isbn={978-989-758-006-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - PhyCS
TI - Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions
SN - 978-989-758-006-2
IS - 2184-321X
AU - Henriques, R.
AU - Paiva, A.
PY - 2014
SP - 75
EP - 82
DO - 10.5220/0004666400750082
PB - SciTePress

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