Cross-subject multimodal emotion recognition based on hybrid fusion

Multimodal emotion recognition has gained traction in affective computing research community to overcome the limitations posed by the processing a single form of data and to increase recognition robustness. In this study, a novel emotion recognition system is introduced, which is based on multiple m...

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Bibliographic Details

Main Authors:	Yucel Cimtay, Erhan Ekmekcioglu, Seyma Caglar Ozhan
Format:	Default Article
Published:	2020
Subjects:	Emotion Recognition Multimodal Emotion Recognition Multimodal Data Fusion Convolutional Neural Network Electroencephalogram Galvanic Skin Response
Online Access:	https://hdl.handle.net/2134/12957170.v1
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