Elham Shawky Salama Omer <br/><br/>
Multimodal emotion recognition schema /  
 مخطط للتعرف المتعدد الوسائل على التعبيرات 
Elham Shawky Salama Omer ; Supervised Reda Abdelwahab Ahmed Alkoribi , Mahmoud Ahmed Ismail Shoman , Mohammed Ahmed Wahby Shalaby 
 - Cairo :   Elham Shawky Salama Omer ,   2020 
 - 337 Leaves :   charts , facsimiles , photoghrphs ;   30cm 
<br/><br/>Thesis (Ph.D.) - Cairo University - Faculty of Computure Artifical Intelligence - Department of Information Technology  
<br/><br/> 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  
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<br/><br/><label>Subjects--Index Terms: </label>Average filter Electro-encephalogram EEG Multimodal emotion recognition schema