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An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
Electroencephalogram (EEG)-based emotion recognition has become a research hotspot in the field of brain-computer interface. Previous emotion recognition methods have overlooked the fusion of multi-domain emotion-specific...
Attention mechanism Brain hemisphere asymmetry Brain modeling Convolution Convolutional neural networks Electrodes Electroencephalogram (EEG)-based Emotion recognition Electroencephalography Emotion recognition feature extraction Feature fusion Pesudo-3D residual convolution neural network /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/2700/2718 name=Health Informatics /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/3600/3605 name=Health Information Management
An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition
Electroencephalogram (EEG)-based emotion recognition has become a research hotspot in the field of brain-computer interface. Previous emotion recognition methods have overlooked the fusion of multi-domain emotion-specific...
Attention mechanism Brain hemisphere asymmetry Brain modeling Convolution Convolutional neural networks Electrodes Electroencephalogram (EEG)-based Emotion recognition Electroencephalography Emotion recognition feature extraction Feature fusion Pesudo-3D residual convolution neural network /dk/atira/pure/subjectarea/asjc/1700/1706 name=Computer Science Applications /dk/atira/pure/subjectarea/asjc/2700/2718 name=Health Informatics /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/3600/3605 name=Health Information Management