AUTOMATIC EMOTION INDUCTION AND ASSESSMENT FRAMEWORK - Enhancing User Interfaces by Interperting Users Multimodal Biosignals

Jorge Teixeira, Vasco Vinhas, Luís Paulo Reis, Eugénio Oliveira

Abstract

Emotion’s definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography are practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject’s predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionally more active and easily induced than males.

References

  1. Chanel, G., et al. 2005. Emotion Assessment: Arousal Evaluation using EEG's and Peripheral Physiological Signals. University of Geneva, Switzerland: Computer Science Department, pp 530-537, vol 4105/2006.
  2. Damásio, A. R. 1994. Descartes error: Emotion, reason and human brain. Europa-América.
  3. Damásio, A. R. 1998. Emotions and the Human Brain. Iowa, USA: Department of Neurology.
  4. Teixeira, J., Vinhas, V. et al. 2008. Multichannel Emotion Assessment Framework: Gender and High-Frequency Electroencephalography as Key-Factors. ICINCO 2008, 5thInternational Conference on Informatics in Control, Automation and Robotics.
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Paper Citation


in Harvard Style

Teixeira J., Vinhas V., Reis L. and Oliveira E. (2009). AUTOMATIC EMOTION INDUCTION AND ASSESSMENT FRAMEWORK - Enhancing User Interfaces by Interperting Users Multimodal Biosignals . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 487-490. DOI: 10.5220/0001542104870490


in Bibtex Style

@conference{biosignals09,
author={Jorge Teixeira and Vasco Vinhas and Luís Paulo Reis and Eugénio Oliveira},
title={AUTOMATIC EMOTION INDUCTION AND ASSESSMENT FRAMEWORK - Enhancing User Interfaces by Interperting Users Multimodal Biosignals},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={487-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001542104870490},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - AUTOMATIC EMOTION INDUCTION AND ASSESSMENT FRAMEWORK - Enhancing User Interfaces by Interperting Users Multimodal Biosignals
SN - 978-989-8111-65-4
AU - Teixeira J.
AU - Vinhas V.
AU - Reis L.
AU - Oliveira E.
PY - 2009
SP - 487
EP - 490
DO - 10.5220/0001542104870490