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Multimodal Emotion Recognition Model using Physiological Signals
[article]
2019
arXiv
pre-print
As an important field of research in Human-Machine Interactions, emotion recognition based on physiological signals has become research hotspots. Motivated by the outstanding performance of deep learning approaches in recognition tasks, we proposed a Multimodal Emotion Recognition Model that consists of a 3D convolutional neural network model, a 1D convolutional neural network model and a biologically inspired multimodal fusion model which integrates multimodal information on the decision level
arXiv:1911.12918v1
fatcat:wggkkuakifedpilhnal5osfoz4