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Multimodal emotion recognition using a hierarchical fusion convolutional neural network
2021
IEEE Access
In recent years, deep learning has been increasingly used in the field of multimodal emotion recognition in conjunction with electroencephalogram. Considering the complexity of recording electroencephalogram signals, some researchers have applied deep learning to find new features for emotion recognition. In previous studies, convolutional neural network model was used to automatically extract features and complete emotion recognition, and certain results were obtained. However, the extraction
doi:10.1109/access.2021.3049516
fatcat:rnynnapfnjdldi54rolcspglxi