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Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal

Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal
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Author(s): Tahirou Djara (Université d'Abomey-Calavi, Intitut d'Innovation Technologique, Abomey-Calavi, Benin), Abdoul Matine Ousmane (Université d'Abomey-Calavi, Intitut d'Innovation Technologique, Abomey-Calavi, Benin)and Antoine Vianou (Université d'Abomey-Calavi, Intitut d'Innovation Technologique, Abomey-Calavi, Benin)
Copyright: 2018
Volume: 6
Issue: 1
Pages: 20
Source title: International Journal of Robotics Applications and Technologies (IJRAT)
Editor(s)-in-Chief: Dan Zhang (York University, Canada)
DOI: 10.4018/IJRAT.2018010101

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Abstract

Emotion recognition is an important aspect of affective computing, one of whose aims is the study and development of behavioral and emotional interaction between human and machine. In this context, another important point concerns acquisition devices and signal processing tools which lead to an estimation of the emotional state of the user. This article presents a survey about concepts around emotion, multimodality in recognition, physiological activities and emotional induction, methods and tools for acquisition and signal processing with a focus on processing algorithm and their degree of reliability.

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