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Chapitre d'ouvrage
An Online Fuzzy-Based Approach for Human Emotions Detection: An Overview on the Human Cognitive Model of Understanding and Generating Multimodal Actions
Abstract : An intelligent robot needs to be able to understand human emotions, and to understand and generate actions through cognitive systems that operate in a similar way to human cognition. In this chapter, we mainly focus on developing an online incremental learning system of emotions using Takagi-Sugeno (TS) fuzzy model. Additionally, we present a general overview for understanding and generating multimodal actions from the cognitive point of view. The main objective of this system is to detect whether the observed emotion needs a new corresponding multi-modal action to be generated in case it constitutes a new emotion cluster not learnt before, or it can be attributed to one of the existing actions in memory in case it belongs to an existing cluster.
Littérature citée [82 références]
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01157390
Contributeur : Amir Aly <>
Soumis le : jeudi 28 mai 2015 - 05:00:35
Dernière modification le : jeudi 5 mars 2020 - 18:49:56
Document(s) archivé(s) le : lundi 24 avril 2017 - 16:47:24
Contributeur : Amir Aly <>
Soumis le : jeudi 28 mai 2015 - 05:00:35
Dernière modification le : jeudi 5 mars 2020 - 18:49:56
Document(s) archivé(s) le : lundi 24 avril 2017 - 16:47:24
Fichier
STAR_ALY_27052015.pdf
Fichiers produits par l'(les) auteur(s)
