Spatial-Temporal Recurrent Neural Network for Emotion Recognition

• Published in: IEEE transactions on cybernetics Vol. 49; no. 3; pp. 839 - 847
• Main Authors: Zhang, Tong, Zheng, Wenming, Cui, Zhen, Zong, Yuan, Li, Yang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Brain modeling; Cybernetics; Dependence; Domains; Electrodes; Electroencephalogram (EEG) emotion recognition; Electroencephalography; Emotion recognition; Face recognition; facial expression recognition; Machine learning; Neural networks; Recurrent neural networks; spatial–temporal recurrent neural network (STRNN)

In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal dependency model. In STRNN, to capture those spatially c...