الفهرس 
Title : Multimodal emotion recognition schema
ContantsOnly 14 pages are availabe for public view
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Abstract
Many techniques were applied to improve the robustness of the multi-modal emotion recog-nition systems. In the proposed system ,anove lmulti modale motion recognition system using Electroencephalogram (EEG) signals ,and facial expression sisproposed .In this thesis, the 3- Dimensional Convolutional Neural Networks (3D-CNN)is in vestigated with the combination of theensemblelearningtechniques.SeveralexperimentalworksaretestedusingtheDEAP (Dataset of Emotion Analysis using the EEG, and Physiological ,and Video Signals)data. Three main recognition systems are built to achieve the proposed goal of this thesis. They are namely EEG-based emotion recognition system, face-based emotion recognition system ,and fusion-based emotion recognition system