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.
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01157390
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Dernière modification le : mercredi 3 juillet 2019 - 10:48:05
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Amir Aly, Adriana Tapus. An Online Fuzzy-Based Approach for Human Emotions Detection: An Overview on the Human Cognitive Model of Understanding and Generating Multimodal Actions. Intelligent Assistive Robots Recent Advances in Assistive Robotics for Everyday Activities, 2015, ⟨10.1007/978-3-319-12922-8_7⟩. ⟨hal-01157390⟩

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