Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion

• Published in: IEEE access Vol. 8; pp. 168865 - 168878
• Main Authors: Cimtay, Yucel, Ekmekcioglu, Erhan, Caglar-Ozhan, Seyma
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Affective computing; Brain modeling; convolutional neural network; Data models; electroencephalogram; Electroencephalography; Emotion recognition; Emotions; Feature extraction; Galvanic skin response; multimodal data fusion; multimodal emotion recognition; Physiology; Support vector machines

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...