Seven Principles to Mine Flexible Behavior from Physiological Signals for Effective Emotion Recognition and Description in Affective Interactions

Rui Henriques, Ana Paiva

2014

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 Harvard Style

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 - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 75-82. DOI: 10.5220/0004666400750082


in Bibtex Style

@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 - Volume 1: PhyCS,},
year={2014},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004666400750082},
isbn={978-989-758-006-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: 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
AU - Henriques R.
AU - Paiva A.
PY - 2014
SP - 75
EP - 82
DO - 10.5220/0004666400750082