Electroencephalogram emotion recognition method and system

• Main Authors: ZHU XIAOLIANG, SUN JUNYI, RONG WENTING, ZHAO LIANG, LIU SANNYUYA, YANG QIAOLAI, YANG ZONGKAI, LIU GENDONG, DAI ZHICHENG, HE ZILI
• Format: Patent
• Language: Chinese; English
• Published: 31.01.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention provides an electroencephalogram emotion recognition method and system. The method comprises the steps that electroencephalogram signals of M channels of an electroencephalogram emotion entity to be recognized are determined; each channel corresponds to an electroencephalogram signal measuring position; inputting the electroencephalogram signals of the M channels into a pre-trained electroencephalogram emotion recognition network model to recognize corresponding electroencephalogram emotion; the electroencephalogram signals of the M channels are filtered into five sub-bands through a fourth-order Butterworth band-pass filter, and electroencephalogram signals of C channels with high relevancy to electroencephalogram emotions are selected; a multi-channel parallel convolutional neural network extracts combined sequence features corresponding to channel features and time features of the preprocessed electroencephalogram signals under different frequency bands; the attention network fuses the combin