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- W2984873354 abstract "Research activities in human-computer interaction increasingly ad-dressed the aspect of integrating emotional intelligence into the overall system,and therefore the recognition of human emotions becomes important in such appli-cations. Human emotions are expressed through various kinds of modalities suchas voice, facial expressions, hand/body gestures or bio-physiological patterns, andtherefore the classification of human emotions should be considered as a multi-modal pattern recognition and machine learning problem. In this paper we proposeartificial neural networks for the task of information fusion in multimodal affectclassification." @default.
- W2984873354 created "2019-11-22" @default.
- W2984873354 creator A5078096723 @default.
- W2984873354 date "2018-01-01" @default.
- W2984873354 modified "2023-09-24" @default.
- W2984873354 title "Multimodal Affect Classification Using Deep Neural Networks" @default.
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