Real-time electroencephalogram decoding emotion regulation method

The invention discloses a real-time electroencephalogram decoding emotion regulation method, which comprises the following steps that: a first computer plays a pre-stored visual stimulation material which is a long-time video influencing emotion; the electroencephalogram collection device collects electroencephalogram signals of the testee watching the materials in real time, and the second computer packages the obtained electroencephalogram signals of the preset duration in real time and then transmits the packaged electroencephalogram signals to the first computer; the first computer receives and records the score of the stimulation degree of the testee to the material; the received electroencephalogram signals are preprocessed; a deep learning model-based feature extractor comprising a convolutional neural network and a recurrent neural network is adopted to perform feature extraction on the obtained preprocessed electroencephalogram signals, and a classification model is adopted to perform emotion analysi