Journal & Article

Cybernetics

I/F
# Journal I/F

IEEE Transactions on Affective Computing

Emotion Recognition Using Affective Touch: A Survey Infant Cry Analysis: A Survey of Datasets, Features, and Machine Learning Techniques Deep Learning Techniques for Text-Based Emotional Response Generation: A Systematic Review Unveiling Neural Signatures: A Comprehensive Review of EEG Biomarkers in Stress, Anxiety, and Depression Distinguishing Depression and Bipolar Disorder From Social Media Data Utilizing Intensity of Emotions and Interpretable Deep Learning Models UCMIB-PNS: Balancing Sufficiency and Necessity With Probabilistic Causality and Cross-Modal Uncertainty in Multimodal Sentiment Analysis Mitigating Symptom Heterogeneity in Multimodal Depression Estimation via Level Separation and Deviation Regression Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition Multimodal Affect Perception With Large Language Model Enhancement Network MIND-EEG: Multi-Granularity Integration Network With Discrete Codebook for EEG-Based Emotion Recognition MCGC-Net: Multi-Scale Controllable Graph Convolutional Network on Music Emotion Recognition Temporal Group Constrained Transformer With Deformable Landmark Attention for Video Dimensional Emotion Recognition Audio-Visual Feature Disentanglement and Fusion Network for Automatic Depression Severity Prediction STRFLNet: Spatio-Temporal Representation Fusion Learning Network for EEG-Based Emotion Recognition Building and Using State-Anxiety-Oriented Graph for Student State Anxiety Assessment in Online Classroom Scenarios Phy-FusionNet: A Memory-Augmented Transformer for Multimodal Emotion Recognition With Periodicity and Contextual Attention Robust Multimodal Sentiment Analysis Based on Adaptive Information Distillation and Adversarial Learning EaNet: Enhanced Multimodal Awareness Alignment Network for Multimodal Aspect-Based Sentiment Analysis CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews Hierarchical Multi-Criteria Representation Fusion for Robust Incomplete Multimodal Sentiment Analysis AL-HCL: Active Learning and Hierarchical Contrastive Learning for Multimodal Sentiment Analysis With Fusion Guidance Quantifying Emotional Patterns for EEG-Based Emotion Recognition: An Interpretable Study on EEG Individual Differences STREL - Naturalistic Dataset and Methods for Studying Mental Stress and Relaxation Patterns in Critical Leading Roles MPFNet: A Multi-Prior Fusion Network With a Progressive Training Strategy for Micro-Expression Recognition Adaptive Key Role Guided Hierarchical Relation Inference for Enhanced Group-Level Emotion Recognition Hybrid-Supervised Hypergraph-Enhanced Transformer for Micro-Gesture Based Emotion Recognition Automated Boredom Recognition Using Multimodal Physiological Signals Lightweight Multimodal Emotion Recognition for Companion Robots: A Deep Learning Framework Integrating Facial and Speech Features Preparing the Heart for Duty: Virtual Reality Biofeedback in an Arousing Action Game Improves in-Action Voluntary Heart Rate Variability Control in Experienced Police Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data Capturing Dynamic Fear Experiences in Naturalistic Contexts: An Ecologically Valid fMRI Signature Integrating Brain Activation and Connectivity Interview-Based Depression Detection Using LLM-Based Text Restatement and Emotion Lexicon Towards Identity-Independent Facial Action Unit Detection: Integrating Decoupled 3D Geometry With Textural Features Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation FMEFF Mechanism: A FastDTW-Based Music-EEG Feature Fusion Approach for Identifying Enjoyment Levels in Music Therapy Enhancing Emotional Congruence in Sensory Substitution Appearance- and Relation-Aware Parallel Graph Attention Fusion Network for Facial Expression Recognition Building Altruistic and Moral AI Agent With Brain-Inspired Emotional Empathy Mechanisms Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings Lexicon-Based Graph Attention for Severity Estimation of Eating Disorders on Social Media Facial AU Recognition With Feature-Based AU Localization and Confidence-Based Relation Mining DSTC: A Multimodal Network for Depression Emotion Recognition and Sentiment Analysis Assessing Flow State in Virtual Reality: A Multi-Channel Physiological Framework With Self-Supervised Pre-Training Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition With Text Description of the Environment MoDE: Improving Mixture of Depression Experts With Mutual Information Estimator for Depression Detection Multi-Level Interaction for Emotion Recognition From Unaligned Speech and Text Step-Wise Prompting Meets Uncertainty-Aware Dynamic Fusion for Robust EEG-Visual Emotion Recognition Affection-Guided Bottleneck Diffusion for Missing Modality Issue in Multimodal Affective Computing AMUSED: A Multi-Modal Dataset for Usability Smell Identification