Electroencephalogram emotion migration model training method and system and electroencephalogram emotion recognition method and device

The invention belongs to the technical field of electroencephalogram recognition, particularly relates to an electroencephalogram emotion migration model training method and system and an electroencephalogram emotion recognition method and device. The problem of electroencephalogram emotion migration is solved, and the difficulty and cost of electroencephalogram emotion recognition training are reduced. An electroencephalogram emotion recognition migration model based on a depth domain adversarial network is built; electroencephalogram features are mapped into an electroencephalogram feature topological graph; deep features are extracted from a feature image by using a deep convolutional neural network; the extracted deep features are input into domain adaptation networks; the two-stage domain adaptation networks are utilized; the first stage performs preliminary confusion on a source domain and a target domain by adopting a maximum mean value difference; and the second-stage domain adaptation network increas