Evolutionary Ensemble Learning for EEG-based Cross-Subject Emotion Recognition
2024-07
发表期刊IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (IF:6.7[JCR-2023],7.1[5-Year])
ISSN2168-2194
EISSN2168-2208
卷号28期号:7页码:3872-3881
发表状态已发表
DOI10.1109/JBHI.2024.3384816
摘要

Electroencephalogram (EEG) has been widely utilized in emotion recognition due to its high temporal resolution and reliability. However, the individual differences and non-stationary characteristics of EEG, along with the complexity and variability of emotions, pose challenges in generalizing emotion recognition models across subjects. In this paper, an end-to-end framework is proposed to improve the performance of cross-subject emotion recognition. A novel evolutionary programming (EP)-based optimization strategy with neural network (NN) as the base classifier termed NN ensemble with EP (EPNNE) is designed for cross-subject emotion recognition. The effectiveness of the proposed method is evaluated on the publicly available DEAP, FACED, SEED, and SEED-IV datasets. Numerical results demonstrate that the proposed method is superior to state-of-the-art cross-subject emotion recognition methods. The proposed end-to-end framework for cross-subject emotion recognition aids biomedical researchers in effectively assessing individual emotional states, thereby enabling efficient treatment and interventions. IEEE

关键词Emotion Recognition Electroencephalogram Cross-Subject Transfer Learning Ensemble Learning
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收录类别SCI ; EI
语种英语
资助项目Science and Technology Planning Project of Shenzhen[JCYJ20230807093819039]
WOS研究方向Computer Science ; Mathematical & Computational Biology ; Medical Informatics
WOS类目Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS记录号WOS:001263692800024
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20241515882304
EI主题词Emotion Recognition
EI分类号461.1 Biomedical Engineering ; 461.6 Medicine and Pharmacology ; 723.1 Computer Programming ; 723.2 Data Processing and Image Processing ; 751.5 Speech ; 921.6 Numerical Methods
原始文献类型Article in Press
来源库IEEE
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/357306
专题信息科学与技术学院_特聘教授组_胡宏林组
信息科学与技术学院_博士生
推荐引用方式
GB/T 7714
Hanzhong Zhang,Tienyu Zuo,Zhiyang Chen,et al. Evolutionary Ensemble Learning for EEG-based Cross-Subject Emotion Recognition[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2024,28(7):3872-3881.
APA Hanzhong Zhang,Tienyu Zuo,Zhiyang Chen,Xin Wang,&Poly Z.H. Sun.(2024).Evolutionary Ensemble Learning for EEG-based Cross-Subject Emotion Recognition.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,28(7),3872-3881.
MLA Hanzhong Zhang,et al."Evolutionary Ensemble Learning for EEG-based Cross-Subject Emotion Recognition".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 28.7(2024):3872-3881.
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