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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]) |
ISSN | 2168-2194 |
EISSN | 2168-2208 |
卷号 | 28期号:7页码:3872-3881 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
URL | 查看原文 |
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 |
引用统计 | 正在获取...
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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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