电子科技2025，Vol.38Issue(11)：79-86,8.DOI:10.16180/j.cnki.issn1007-7820.2025.11.010
基于异构脑电特征图空间注意力迁移学习的情感识别
Emotion Recognition Based on Heterogeneous EEG Feature Map using Spatial Attention Transfer Learning
摘要
Abstract
Emotion recognition based on EEG(Electroencephalogram)signals is limited by the volume of EEG data and the specifications of the equipment electrodes.The transfer learning methods convert EEG signals into brain functional topographic maps through interpolation and utilize pre-trained models for feature extraction,but this meth-od has limitations in the extraction of emotional information.To improve the performance of transfer learning and the generalization ability of emotion recognition,this study proposes an emotion recognition method based on heterogene-ous EEG feature map using spatial attention transfer learning.A brain feature mapping network based on spatial at-tention mechanism and residual network is pre-trained using the brain functional topographic data interpolated by in-terpolation method.As an alternative to interpolation method,the spatial attention mechanism is combined with trans-fer learning model to capture emotion information more effectively in the training of emotion recognition model.The proposed method is verified on DEAP,HCI,SEED-IV and SEED-V emotion recognition databases,and the accura-cy is 54.8%,63.6%,32.8%and 25.9%,respectively.关键词
深度学习/迁移学习/脑电图/情感识别/注意力机制/异构脑电特征图插值/机器学习/残差网络Key words
deap learning/transfer learning/EEG/emotion recognition/attention mechanism/heterogeneous EEG feature map interpolation/machine learning/residual network分类
信息技术与安全科学引用本文复制引用
王琦,吴文龙,李汭钉,尹钟..基于异构脑电特征图空间注意力迁移学习的情感识别[J].电子科技,2025,38(11):79-86,8.基金项目
国家自然科学基金(61703277) （61703277）
上海青年科技英才扬帆计划(17YF1427000) National Natural Science Foundation of China(61703277) （17YF1427000）
Shanghai Sailing Program(17YF1427000) （17YF1427000）
