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An Ensemble Classifiers Approach for Emotion Classification

  • Mohamed Walid ChaibiEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (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.

Keywords

Ensemble classifiers Emotion classification Physiological signals 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.High Institute of Management of Tunis (ISG-Tunis)TunisTunisia

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