Latest Research in Emotion and Mood Recognition
17 research papers · 2026 median publication year
Top Research Topics in Emotion and Mood Recognition
- Computer Vision and Pattern Recognition — 7 papers
- Emotion and Mood Recognition — 5 papers
- Multimedia — 3 papers
- Artificial Intelligence — 1 papers
- Human-Computer Interaction — 1 papers
Highest-Cited Papers
- A graph-guided cross-modal attention network for multimodal emotion recognition via emotion-shift modeling
- EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization
- Lightweight multimodal EEG emotion recognition with cross-modal calibration for digital visual interaction
- Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction
- Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
- SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark
- EmoEUS: Uncertainty Supervision for Multimodal Emotion Recognition in Conversation
- Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions
- EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation
- Emotion-BIND for multimodal emotion recognition and reasoning
- Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
- Multimodal Ambivalence and Hesitancy Recognition via Cross-Attention and Gated Fusion
- A hierarchical multifunctional cross fusion network for emotion recognition from facial expressions and peripheral physiological signals
- Multi-modal affective computing framework for real-time monitoring of children's learning engagement
- CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects
- HSEmotion Team at the 11th ABAW Challenge: Multi-Task Learning and Ambivalence/Hesitancy Video Recognition
- SVF-CR: Synchronized Visual-Facial Cross-Refinement for Multimodal Ambivalence and Hesitancy Recognition