The invention discloses an
emotion recognition method based on brain-computer generative adversarial. For an
emotion recognition task, cognitive representation with emotions is obtained after the
human brain processes information, while a
machine only learns representation in an image form. If a generation relation between the cognitive representation with emotions and the representation in an image form can be established, a
machine can be guided to learn through the
human brain and endowed with the emotion cognitive ability of the
human brain. In order to give information perceived by a human brain to a
machine, a generation model from image visual features to electroencephalogram emotion features needs to be established, so that generation from
formal representation to cognitive representation is realized. According to the method, the relation between electroencephalogram emotion features and image visual features is explored, the relation between
formal representation and cognitive representation is established, and brain-computer
collaborative intelligence is achieved. In order to reduce the difference between cognitive representation and
formal representation and enable the formal representation to infinitely approach the cognitive representation, the invention designs an
emotion recognition method based on brain-computer generative adversarial.