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

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AuteurDJARA, TAHIROU
AuteurOUSMANE, ABDOUL MATINE
AuteurVIANOU, COKOU ANTOINE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2018
ResumeEmotion 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.
DOI10.4018/IJRAT.2018010101
Autre identifiantBECDB-10317
URIhttps://dspace.uac.bj/handle/123456789/9176
Languefr
Fait partie deInternational Journal of Robotics Applications and Technologies
SujetAffective computing
Sujetemotion recognition
SujetMultimodal interaction
Sujet...
TitreEmotional State Recognition Using Facial Expression, Voice, and Physiological Signal
TypeArticle

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