The IEEE Transactions on Affective Computing is a cross-disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal publishes original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work are considered for publication when they propose a new viewpoint on the history and the perspective on this domain.
IEEE Transactions on Affective Computing（英语：IEEE Transactions on Affective Computing）是一个跨学科的国际档案期刊，旨在传播能够识别、解释和模拟人类情感及相关情感现象的系统设计的研究成果。该杂志发表原创研究的原则和理论解释为什么和如何情感因素条件之间的人和技术的互动，在情感感知和模拟技术如何可以告知我们的理解人类情感过程，并在设计，实施和评估系统，仔细考虑影响其可用性的因素中的影响。对现有工作的调查，如果对这一领域的历史和前景提出新的观点，就会考虑出版。
Emotions Recognition Using EEG Signals: A Survey
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2714671
Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2684799
Automatic Recognition Methods Supporting Pain Assessment: A Survey
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2946774
Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and Engagement
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2737019
MorpheuS: Generating Structured Music with Constrained Patterns and Tension
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2737984
Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2730187
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2901673
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2890636
Transfer Linear Subspace Learning for Cross-Corpus Speech Emotion Recognition
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2705696
Predicting Social Emotions from Readers’ Perspective
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2695607
Multi-feature based network revealing the structural abnormalities in autism spectrum disorder
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2890597
Multi-Velocity Neural Networks for Facial Expression Recognition in Videos
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2713355
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2678472
Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2729540
A Novel Sentiment Polarity Detection Framework for Chinese
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2932061
Visual Biofeedback and Game Adaptation in Relaxation Skill Transfer
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2705088
Modelling Affect for Horror Soundscapes
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2695460
Improving attention model based on cognition grounded data for sentiment analysis
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2903056
A Novel Method Based on OMPGW Method for Feature Extraction in Automatic Music Mood Classification
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2724515
Content-Based Video Emotion Tagging Augmented by Users’ Multiple Physiological Responses
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2702749
On the influence of affect in EEG-based subject identification
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2877986
Adapting software with Affective Computing: a systematic review
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2902379
Deep Facial Action Unit Recognition and Intensity Estimation from Partially Labelled Data
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2914654
Listen to Your Face: Inferring Facial Action Units from Audio Channel
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2749299
ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2702653
Investigation of Speech Landmark Patterns for Depression Detection
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2944380
ICA-evolution based data augmentation with ensemble deep neural networks using time and frequency kernels for emotion recognition from EEG-data
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2942587
AM-FED+: An Extended Dataset of Naturalistic Facial Expressions Collected in Everyday Settings
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2801311
A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2890610
Evoking Physiological Synchrony and Empathy Using Social VR with Biofeedback
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2958657
Layered-modeling of affective and sensory experiences using structural equation modeling: Touch experiences of plastic surfaces as an example
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2018.2879944
Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2728534
Regression Guided by Relative Ranking Using Convolutional Neural Network (R3CNN) for Facial Beauty Prediction
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2933523
A Model for an Affective Non-Expensive Utility-Based Decision Agent
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2737979
Human-Human Interactional Synchrony Analysis Based on Body Sensor Networks
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2725949
Participatory Design of Affective Technology: Interfacing Biomusic and Autism
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2922911
Personality Traits Classification Using Deep Visual Activity-based Nonverbal Features of Key-Dynamic Images
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2944614
Affective Dynamics: Causality Modeling of Temporally Evolving Perceptual and Affective Responses
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2942931
Effects of Computerized Emotional Training on Children with High Functioning Autism
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2916023
Study on Horse-rider Interaction Based on Body Sensor Network in Competitive Equitation
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2936814
A hybrid cognitive architecture with primal affect and physiology
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2906162
Embodied Robot Models for Interdisciplinary Emotion Research
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2908162
The change matters! Measuring the effect of changing the leader in joint music performances
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2951368
Emotion Prediction with Weighted Appraisal Models - Validating a Psychological Theory of Affect
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2940937
On the influence of shot scale on film mood and narrative engagement in film viewers
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2939251
Video Affective Content Analysis by Exploring Domain Knowledge
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2912377
FaceEngage: Robust Estimation of Gameplay Engagement from User-contributed (YouTube) Videos
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/taffc.2019.2945014
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2936198
Faded Smiles? A Largescale Observational Study of Smiling from Adolescence to Old Age
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2019.2922341
Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart
来源期刊：IEEE Transactions on Affective ComputingDOI：10.1109/TAFFC.2017.2774278
