Multimodal Emotion Recognition

Overview

Multimodal emotion recognition studies how to infer emotional categories, valence and arousal, or changing affective states from signals such as speech, language, facial and body movement, and physiological sensors. Common approaches include attention-based fusion, cross-modal transformers and graphs, modality-specific experts, and temporal models that use conversational context; newer systems also adapt pretrained multimodal models or add structured emotion reasoning. Combining channels can improve recognition when one cue is weak, but performance depends on handling missing, noisy, or conflicting evidence and differences across speakers, settings, and cultures. A central challenge is whether benchmark gains generalize to spontaneous real-world interactions, where emotion labels are subjective and the most informative modality can vary by person and situation.

Latest papers

CardsList

152 papers15 papers in the last four weeks, down 29% on the four weeks before. 0.1% of all new papers.

  1. Incongruence-Aware Evaluation of Multimodal Speech Emotion Recognition in Audio Large Language Models

    Oct 29, 2026Fengji Jing, Guy LabanMultimodal Emotion RecognitionAudio-Language Model Evaluation

  2. Beyond Vision-Language Models: Visual-Semantic Affect Graphs for Emotion Recognition in Artworks

    Oct 26, 2026Ngoc-Duy Mai, Ha-Thanh Nguyen, Hideaki TakedaMultimodal Emotion RecognitionValence-Arousal Modeling

  3. Traffic-Context-Aware Driver Emotion Recognition with Expectation-Deviation-Driven Inference

    Oct 24, 2026Longhao Yan, Jinhao Liang, Kaidi YangMultimodal Emotion RecognitionDriver Monitoring

  4. CASE: Confusion-Aware Skill Evolution for Frozen Multimodal Emotion Models

    Oct 23, 2026Siyu Wu, Zeyu Liang, Linghao Wang +4Multimodal Emotion RecognitionMultimodal Large Language Models

  5. AGF-Net: A Robust Multimodal Emotion Recognition Model for Asynchronous Audio-Visual Signals Based on Predictive Dynamic Fusion with Negative Learning

    Oct 22, 2026Chuan Han Li, Yun Chien ChengMultimodal Emotion RecognitionMultimodal Fusion

  6. MERP: A Latent-Bottleneck Framework for Robust Multi-Modal Multi-Label Emotion Recognition

    Oct 21, 2026Chuangxin Zhao, Meimei Zhang, Canran Xiao +6Multimodal Emotion RecognitionMultimodal Robustness

  7. PI-MLLM: Psychophysics-Inspired Multimodal Large Language Model for Oddly Satisfying Video Emotion Analysis

    Oct 20, 2026Yuheng Zhang, Jie Zhang, Yuecong Min +4Multimodal Emotion RecognitionMultimodal Large Language Models

  8. 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

  9. 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

  10. GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition

    Oct 13, 2026Ting Zhu, Huizhi Liang, Boguslaw Obara +2Multimodal Emotion RecognitionMultimodal Fusion

  11. Evidential Multimodal Transformers with Dempster-Shafer Fusion for Emotion Recognition

    Oct 9, 2026Muhammad Usama, Yeoreum JungMultimodal Emotion RecognitionUncertainty-Aware Multimodal Fusion

  12. From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding

    Oct 8, 2026Jia Li, Yichao He, Yangchen Yu +6Multimodal Emotion RecognitionEmotion Recognition

  13. Cognition-Oriented Emotion Tracing from Causes to Consequences in Real-World Social Scenes

    Oct 8, 2026Hao Li, Jinye Zhang, Bobo Li +5Affective ComputingMultimodal Emotion Recognition

  14. From Expression to Reaction: Role-aware Visual Transfer and Stimulus-guided Reasoning for Interlocutor Emotion Recognition

    Oct 2, 2026Wei Wang, Zhaowu Li, Jianjie Luo +3Emotion Recognition in ConversationsMultimodal Emotion Recognition

  15. VISTA: Value-Informed Event Appraisal for Multimodal Emotion Conflict

    Sep 29, 2026Jiale Dai, Liuxian Ma, Xiaoke Niu +5Multimodal Emotion RecognitionMultimodal Fusion

  16. Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning

    Sep 29, 2026Cheng Ye, Weidong Chen, Zhaobo Qi +2Multimodal Large Language ModelsMultimodal Emotion Recognition

  17. Causal-EVC: Breaking Emotional Spurious Causality via Spatiotemporal Grounding and Counterfactual Intervention

    Sep 29, 2026Cheng Ye, Weidong Chen, Peipei Song +1Video CaptioningMultimodal Emotion Recognition

  18. AffectReveal: Event-Grounded Emotion Recognition Beyond Visual Appearances

    Sep 29, 2026Yihao Qian, Runhao Zeng, Sicheng Zhao +3Evidence-Grounded ReasoningMultimodal Emotion Recognition

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

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

  20. 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

  21. From Stress to Affect: Multimodal Deep Learning for Physiological Emotion Recognition Across Wearable Sensor Modalities

    Sep 17, 2026Desta Haileselassie Hagos, Saurav Keshari Aryal, Legand L. BurgeEmotion RecognitionMultimodal Emotion Recognition

  22. Affective Shared Autonomy: Temporal Affect Dynamics and Subjective Evaluation in Bimanual Teleoperation Tasks

    Sep 17, 2026Zhengji Liang, Guiyin Tian, Sijin Qu +2Robot TeleoperationMultimodal Emotion Recognition

  23. Emotion Experience, Expression, and Perception: Emotion Analysis on Multimodal Social Media Posts

    Sep 16, 2026Christopher Bagdon, Carina Silberer, Roman KlingerSocial Media AnalysisMultimodal Emotion Recognition