EEG Emotion Recognition

EEG: Electroencephalography

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Overview

EEG emotion recognition infers emotional categories, such as valence and arousal, from scalp electrical activity, with applications in affective computing and neurofeedback. Approaches range from band-power and connectivity features to convolutional, recurrent, Transformer, and graph models, often using contrastive or masked pretraining, domain adaptation, and multimodal fusion with eye, face, or speech signals. Benchmarks such as SEED, DEAP, and FACED support tests within subjects and across subjects, sessions, and datasets, while some work predicts continuous emotional change or targets efficient deployment. A central challenge is transferring between people and settings while distinguishing useful neural signals from stimulus and context cues; reliable evaluation, interpretability, and real-world validation remain open concerns.

Latest papers

CardsList

32 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Beyond Modeling Order: Dual-Path Spatiotemporal Representation Learning for Cross-Subject EEG Emotion Recognition

    Oct 26, 2026Zehui Xiao, Yi Zheng, Guixing Fu +7EEG Emotion RecognitionContrastive Learning

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China · School of Computer Science and Technology, Tianjin University, Tianjin 300354, China · Faculty of Applied Sciences, Macao Polytechnic University, Macao, China +1

  2. Multiscale Temporal-Spectral-Spatial EEG Learning With Modality-Specific and Modality-Invariant Representations for Emotion Recognition

    Oct 20, 2026Jian Zhang, Manrong Liu, Yilei Huang +3EEG Emotion RecognitionMultimodal Emotion Recognition

    Henan Engineering Research Center for Artificial Intelligence Theory and Algorithms, School of Mathematics and Statistics, Henan University, Kaifeng, 475004, China. · The Second Clinical College, Henan University, Kaifeng, 475004, China.

  3. Context-Aware Topological Distillation Graph Network for Asymmetric EEG-Eye Movement Emotion Recognition

    Oct 19, 2026Peijun Shi, Xiujin Zhu, Zhenguo Lao +4Multimodal Emotion RecognitionEEG Emotion Recognition

    Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia. · Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China · Hubei Provincial Clinical Research Center for Brain Computer Interface, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China.

  4. Video-Time Priors for EEG-fNIRS Emotion Regression on Familiar Videos

    Oct 2, 2026Minghao Kong, Ying Gao, Jiurun Chen +4Emotion RecognitionEEG Emotion Recognition

    School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China · Department of Network Intelligence, Pengcheng Laboratory, Shenzhen, China

  5. T-SNN: Temporal Simplicial Neural Network for EEG Decoding

    Sep 27, 2026Nikita Malik, Shubhajit Roy, Mohit Kataria +4Cross-Subject EEG DecodingEEG Decoding

    Bharti School of Telecommunication Technology and Management Indian Institute of Technology, Delhi · Department of Computer Science & Engineering Indian Institute of Technology, Gandhinagar · Yardi School of Artificial Intelligence Indian Institute of Technology, Delhi +4

  6. Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition

    Sep 25, 2026Philip H. Lee, Shreeram Suresh Chandra, John H. L. HansenEEG Artifact RemovalDifferential Attention

    Independent Researcher, USA · Center for Language and Speech Processing (CLSP), Johns Hopkins University, Baltimore, MD, USA · Center for Robust Speech Systems (CRSS), University of Texas at Dallas, Richardson, TX, USA

  7. BRIDGE-EEG: Bridging Self-Supervised Pretraining and Efficient Deployment for Cross-Dataset EEG Classification

    Sep 10, 2026Meghna Roy Chowdhury, Chengwei Zhou, Haotian Yu +2Self-Supervised Pre-TrainingEdge Inference

    Purdue University, Indiana, USA · Case Western University, Ohio, USA

  8. Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context

    Aug 21, 2026Utsav Poudel, Jagannath Aryal, Subramaniyaswamy VairavasundaramEEG Emotion RecognitionMultimodal Emotion Recognition

    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India · Earth Observation and AI Research Group, Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia

  9. MUPA2^{2}E: Multimodal Unified Perception with Asymmetric Attention for Emotion Assessment

    Aug 17, 2026Stefanos Gkikas, Eric Nichols, Christian Arzate Cruz +1Dataset BiasMultimodal Emotion Recognition

    Honda Research Institute Japan, Wako City, Japan

  10. Graph Learning for Cross-Subject, Cross-Population EEG Emotion Decoding and Model-Derived Spatial-Spectral Neural Signatures

    Aug 13, 2026Dongyi He, Bin Jiang, Xiangkai Wang +4Cross-Subject EEG DecodingEEG Decoding

    School of Artificial Intelligence, Chongqing University of Technology, Chongqing, 400054, China · School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing, 401331, China · Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, 222002, China +1

  11. A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition

    Aug 10, 2026Stefanos Gkikas, Yang Guo, Guangliang Li +3Multi-Scale Feature FusionEEG Emotion Recognition

    Honda Research Institute Japan Wako City, Japan · Faculty of Information Science and Engineering Ocean University of China Qingdao, China · BioSIS (Biosensing & Intelligent Systems) Lab Centre for Intelligent Computing and Systems University of Canberra Canberra, Australia +1

  12. MGMCL: Multi-Granularity Manifold Contrastive Learning With Neural ODEs for Cross-Subject EEG Emotion Recognition

    Aug 9, 2026Xiang XieCross-Subject EEG DecodingContrastive Learning

  13. Checkpoint Selection and Evaluation in EEG Emotion Recognition

    Jul 30, 2026Hanting Suo, Hongxun Wang, Yuwen LiEEG DecodingEEG Emotion Recognition

    School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China. · The State Key Laboratory of Bioelectronics, Southeast University, Nanjing, 210096, China.

  14. Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

    Jul 20, 2026Shyamal Y. Dharia, Stephen D. Smith, Camilo E. ValderramaElectroencephalographyBrain-Computer Interfaces

    † The University of Winnipeg, Department of Applied Computer Science · ‡ The University of Winnipeg, Department of Psychology · ⋄University of Manitoba, Department of Electrical and Computer Engineering +1

  15. Graph-Regularized Deep Learning for EEG-Based Emotion Recognition with Psychologically-Grounded Label Structure

    Jul 8, 2026Dongyang Kuang, Zizheng Ma, Yushan Zhang +1EEG Emotion Recognition

    School of Mathematics (Zhuhai), Sun Yat-sen University, Guangzhou, China

  16. Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition

    Jul 5, 2026Huqin Weng, Jiayang Huang, Yimin Wen +3Contrastive LearningSelf-Supervised Learning

  17. See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition

    Jul 3, 2026Jingjing Hu, Guo Dan, Haofan Cheng +4Facial Expression SynthesisMultimodal Model Interpretability

    Hefei University of Technology · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center · The Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology +3

  18. PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition

    Jul 1, 2026Xin Zhou, Xiang Zhang, Hao Deng +1Cross-Subject EEG DecodingUnsupervised Domain Adaptation

    School of Computing, T. J Watson College of Engineering and Applied Science, Binghamton University - State University of New York, Binghamton, NY 13902 USA · Massachusetts General Hospital, Harvard University, Boston, MA 02114 USA

  19. RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning

    Jun 13, 2026Jinhan Liu, Mahsa ShoaranRepresentation LearningSelf-Supervised Time Series Representation Learning

    Institutes of Electrical and Micro Engineering and Neuro-X, EPFL, Geneva, Switzerland.

  20. Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition

    Jun 9, 2026Xinglong Cui, Dian GuElectroencephalographyTemporal Attention

    Beijing Neurodeep Technology Co., Ltd, Beijing, 100176, China · University of Pennsylvania, Seattle, 98121, USA

  21. EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction

    Jun 4, 2026Zhihao Zhou, Weishan Ye, Li Zhang +2Latent Dynamics ModelingEEG Emotion Recognition

    The School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China · The Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound2026 Imaging, Shenzhen, China

  22. A Minimalist Brain-Computer Musical Interface for Real-Time Emotion-Driven Sonification: System Design and Preliminary Evaluation

    May 31, 2026Pablo A. Monroy-D'Croz, Rafael Ramirez-Melendez, Julian Cespedes-GuevaraBrain-Computer InterfacesControllable Music Generation

    Universitat Pompeu Fabra, Barcelona, Spain · Universidad Icesi, Cali, Colombia

  23. Context-aware tokenization for Cross-subject Emotion Decoding from EEG

    May 30, 2026Jiaxin Qing, Lexin LiCross-Subject EEG DecodingEEG Decoding

    University of California, Berkeley

  24. UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment

    May 29, 2026Zheng Wang, Shuo Wang, Junhong WangUnsupervised Domain AdaptationMultimodal Emotion Recognition

    Institute of Advanced Technology, University of Science and Technology of China, Hefei, 230026, China · Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230026, China · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230026, China

  25. A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity

    May 28, 2026Yousef A. Radwan, Xuhui Liu, Kilichbek Haydarov +2Cross-Modal Representation LearningNeural Decoding

    King Abdullah University of Science and Technology (KAUST)

  26. MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition

    May 26, 2026Haoliang Gong, Qingshan She, Jiale Xu +2Convolutional Neural NetworksEEG Emotion Recognition

    School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China · Zhejiang Provincial Key Laboratory of Brain Computer Collaborative Intelligence Technology and Applications

  27. GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition

    May 24, 2026Ziyi Wang, Dongyang KuangGraph Neural NetworksEEG Emotion Recognition

  28. Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning

    May 21, 2026Ying Xie, Yi Zheng, Zehui Xiao +2Cross-Subject EEG DecodingContrastive Learning

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China · School of Computer Science and Technology, Tianjin University, Tianjin 300354, China

  29. Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition

    Mar 18, 2026Guangli Li, Canbiao Wu, Na Tian +2EEG Emotion RecognitionDomain-Adversarial Learning

    School of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412008, China. · School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China · Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China +1

  30. Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition

    Mar 11, 2026Renwei MengCross-Subject EEG DecodingElectroencephalography

    Anhui University, Hefei, China