结合FCM和GC分析构建脑网络的EEG情感识别  

EEG Emotion Recognition Based on Brain Network Constructed by Fuzzy Cognitive Map and Granger Causality Analysis

作　　者：闫超 张雪英 张静 陈桂军 孙颖 黄丽霞 YAN Chao;ZHANG Xueying;ZHANG Jing;CHEN Guijun;SUN Ying;HUANG Lixia(College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]太原理工大学信息与计算机学院,太原030024

出　　处：《太原理工大学学报》2024年第4期727-733,共7页Journal of Taiyuan University of Technology

基　　金：国家自然科学基金资助项目(62271342,62201377);山西省回国留学人员科研资助项目(HGKY2019025)。

摘　　要：【目的】脑电情感识别中格兰杰因果(GC)分析构建脑网络时没有考虑各节点间协同交互作用的问题。提出一种结合模糊认知图(FCM)和GC分析构建脑网络的方法。【方法】首先基于FCM的结构与GC脑网络的对应性,利用FCM多节点间的因果属性对GC脑网络进行建模改进,构建了FCM-GC脑网络,考虑了多节点间的协同交互作用;进一步,为使FCM与GC脑网络深度融合,将EEG电极通道的空间位置信息加入到FCM训练中,构建了新的IFCM-GC脑网络。【结果】基于DEAP情感脑电数据库,提取IFCM-GC脑网络特征,使用支持向量机为识别模型,在效价维和激励维的平均识别率分别达到了97.10%和97.00%,比现有对格兰杰因果特征改进的研究提升8%以上。采用该方法构建的GC脑网络,考虑了多节点间的协同交互作用,有效提升了情感识别系统的性能。【Purposes】Aiming at the problem that Granger Causality(GC)analysis in EEG emotion recognition does not consider the interaction between nodes when constructing brain network,a method of constructing brain network by combining fuzzy cognitive map(FCM)and GC analysis is proposed.【Methods】First,on the basis of the correspondence between the structure of FCM and GC brain network,the GC brain network is modeled and improved by using the causal attributes among FCM nodes,and the FCM-GC brain network is constructed,by taking into account the cooperative interaction among nodes.Furthermore,in order to deeply integrate FCM with GC brain network,the spatial position information of EEG electrode channel is added to FCM training,and a new IFCM-GC brain network is constructed.On the basis of DEAP emotional EEG database,the features of IFCM-GC brain network are extracted,and the support vector machine is used as the recognition model.The average recognition rates in valence dimension and incentive dimension are 97.10%and 97.00%,respectively,which are more than 8%higher than the existing research on GC improvement.【Findings】The GC brain network constructed by this method takes into account the cooperative interaction among multiple nodes,and effectively improves the performance of emotion recognition system.

关 键 词：脑电情感识别 格兰杰因果分析 模糊认知图 支持向量机 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]