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International Conference on Intelligent Interactive Multimedia Systems and Services

KES-IIMSS-18 2018: Intelligent Interactive Multimedia Systems and Services 2017 pp 99–108Cite as

An Ensemble Classifiers Approach for Emotion Classification

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 76))

Abstract

Decoding the emotional state of a person has a variety of applications. It could be used in human-computer interaction (HCI) or like follow-ups in the therapeutic techniques. Recently, emotion recognition is one of topic that researchers are most interested in and until now, there are several studies relating to the emotion using devices and techniques. To recognize human emotions, various physiological signals have been widely used. In this research, we propose a novel approach for the emotion classification using several physiological signals to classify eight emotions according to the Clynes sentograph protocol of Manfred Clynes. The study has two main objectives. On the one hand a comparative study to choose the best classifiers that addresses the emotion classification problem. And On the other hand to develop an ensemble classifiers approach.

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Author information

Authors and Affiliations

  1. High Institute of Management of Tunis (ISG-Tunis), Tunis, Tunisia

    Mohamed Walid Chaibi

Authors
  1. Mohamed Walid Chaibi
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Correspondence to Mohamed Walid Chaibi .

Editor information

Editors and Affiliations

  1. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Giuseppe De Pietro

  2. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Luigi Gallo

  3. Fern Barrow, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Chaibi, M.W. (2018). An Ensemble Classifiers Approach for Emotion Classification. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-59480-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59479-8

  • Online ISBN: 978-3-319-59480-4

  • eBook Packages: EngineeringEngineering (R0)

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