Welcome to the InfoSci Platform
Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal

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

Tahirou Djara, Abdoul Matine Ousmane, Antoine Vianou
Copyright: © 2018 |Volume: 6 |Issue: 1 |Pages: 20
ISSN: 2166-7195|EISSN: 2166-7209|EISBN13: 9781522546771|DOI: 10.4018/IJRAT.2018010101
Cite Article Cite Article

MLA

Djara, Tahirou, et al. "Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal." IJRAT vol.6, no.1 2018: pp.1-20. http://doi.org/10.4018/IJRAT.2018010101

APA

Djara, T., Ousmane, A. M., & Vianou, A. (2018). Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal. International Journal of Robotics Applications and Technologies (IJRAT), 6(1), 1-20. http://doi.org/10.4018/IJRAT.2018010101

Chicago

Djara, Tahirou, Abdoul Matine Ousmane, and Antoine Vianou. "Emotional State Recognition Using Facial Expression, Voice, and Physiological Signal," International Journal of Robotics Applications and Technologies (IJRAT) 6, no.1: 1-20. http://doi.org/10.4018/IJRAT.2018010101

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.