McKeown, G.,
Valstar, M.F.,
Cowie, R.,
Pantic, M.,
Schroder, M.,
The SEMAINE Database: Annotated Multimodal Records of Emotionally
Colored Conversations between a Person and a Limited Agent,
AffCom(3), No. 1, 2012, pp. 5-17.
IEEE DOI
1202
BibRef
Benyon, D.,
Gamback, B.,
Hansen, P.,
Mival, O.,
Webb, N.,
How Was Your Day? Evaluating a Conversational Companion,
AffCom(4), No. 3, July 2013, pp. 299-311.
IEEE DOI
1404
human computer interaction
BibRef
Stolar, M.N.,
Lech, M.,
Sheeber, L.B.,
Burnett, I.S.,
Allen, N.B.,
Introducing Emotions to the Modeling of Intra- and Inter-Personal
Influences in Parent-Adolescent Conversations,
AffCom(4), No. 4, October 2013, pp. 372-385.
IEEE DOI
1406
behavioural sciences computing
BibRef
Huang, X.D.[Xiang-Dong],
Ren, M.J.[Min-Jie],
Han, Q.K.[Qian-Kun],
Shi, X.Q.[Xiao-Qi],
Nie, J.[Jie],
Nie, W.Z.[Wei-Zhi],
Liu, A.A.[An-An],
Emotion Detection for Conversations Based on Reinforcement Learning
Framework,
MultMedMag(28), No. 2, April 2021, pp. 76-85.
IEEE DOI
2107
Feature extraction, Reinforcement learning, Data mining, Acoustics,
Logic gates, Context modeling, Uncertainty
BibRef
Phan, D.A.[Duc-Anh],
Matsumoto, Y.J.[Yu-Ji],
Shindo, H.[Hiroyuki],
Autoencoder for Semisupervised Multiple Emotion Detection of
Conversation Transcripts,
AffCom(12), No. 3, July 2021, pp. 682-691.
IEEE DOI
2109
Motion pictures, Correlation, Social network services,
Neural networks, Context modeling, Data models, Training data,
autoencoder
BibRef
Zhang, H.Q.[Han-Qing],
Song, D.W.[Da-Wei],
Towards Contrastive Context-Aware Conversational Emotion Recognition,
AffCom(13), No. 4, October 2022, pp. 1879-1891.
IEEE DOI
2212
Context modeling, Semantics, Emotion recognition,
Oral communication, Training, Robustness, contrastive learning
BibRef
Hu, J.X.[Jia-Xiong],
Huang, Y.[Yun],
Hu, X.Z.[Xiao-Zhu],
Xu, Y.Q.[Ying-Qing],
The Acoustically Emotion-Aware Conversational Agent With Speech
Emotion Recognition and Empathetic Responses,
AffCom(14), No. 1, January 2023, pp. 17-30.
IEEE DOI
2303
Emotion recognition, Speech recognition, Databases,
Sentiment analysis, Games, Convolutional neural networks,
intelligent agents
BibRef
Lian, Z.[Zheng],
Liu, B.[Bin],
Tao, J.H.[Jian-Hua],
SMIN: Semi-Supervised Multi-Modal Interaction Network for
Conversational Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2415-2429.
IEEE DOI
2310
BibRef
Hou, M.X.[Mi-Xiao],
Zhang, Z.[Zheng],
Liu, C.[Chang],
Lu, G.M.[Guang-Ming],
Semantic Alignment Network for Multi-Modal Emotion Recognition,
CirSysVideo(33), No. 9, September 2023, pp. 5318-5329.
IEEE DOI Code:
WWW Link.
2310
BibRef
Dai, Y.J.[Yi-Jing],
Li, Y.J.[Ying-Jian],
Chen, D.P.[Dong-Peng],
Li, J.X.[Jin-Xing],
Lu, G.M.[Guang-Ming],
Multimodal Decoupled Distillation Graph Neural Network for Emotion
Recognition in Conversation,
CirSysVideo(34), No. 10, October 2024, pp. 9910-9924.
IEEE DOI Code:
WWW Link.
2411
Emotion recognition, Graph neural networks, Context modeling,
Message passing, Visualization, multimodal fusion
BibRef
Li, J.[Jiang],
Wang, X.P.[Xiao-Ping],
Lv, G.Q.[Guo-Qing],
Zeng, Z.G.[Zhi-Gang],
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation
Approach for Multimodal Conversational Emotion Recognition,
MultMed(26), 2024, pp. 77-89.
IEEE DOI
2401
BibRef
Yang, K.[Kailai],
Zhang, T.[Tianlin],
Ananiadou, S.[Sophia],
Disentangled Variational Autoencoder for Emotion Recognition in
Conversations,
AffCom(15), No. 2, April 2024, pp. 508-518.
IEEE DOI
2406
Task analysis, Emotion recognition, Hidden Markov models,
Context modeling, Decoding, Oral communication,
disentangled representations
BibRef
Lu, N.N.[Nan-Nan],
Han, Z.Y.[Zhi-Yuan],
Tan, Z.[Zhen],
A Hypergraph Based Contextual Relationship Modeling Method for
Multimodal Emotion Recognition in Conversation,
MultMed(27), 2025, pp. 2243-2255.
IEEE DOI
2505
Emotion recognition, Context modeling, Oral communication, Data models,
Long short term memory, Feature extraction, Semantics, hypergraph convolution
BibRef
Chien, W.S.[Woan-Shiuan],
Upadhyay, S.G.[Shreya G.],
Lin, W.C.[Wei-Cheng],
Busso, C.[Carlos],
Lee, C.C.[Chi-Chun],
Differential Impacts of Monologue and Conversation on Speech Emotion
Recognition,
AffCom(16), No. 2, April 2025, pp. 485-498.
IEEE DOI
2506
Emotion recognition, Acoustics, Databases, Oral communication,
Training, Speech recognition, Affective computing, Data collection,
acoustic variability
BibRef
Shou, Y.T.[Yun-Tao],
Liu, H.[Huan],
Cao, X.[Xiangyong],
Meng, D.Y.[De-Yu],
Dong, B.[Bo],
A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method
for Conversational Emotion Recognition,
AffCom(16), No. 2, April 2025, pp. 1177-1189.
IEEE DOI
2506
Feature extraction, Emotion recognition, Transformers, Vectors,
Semantics, Tensors, Fuses, Computational complexity, Overfitting,
multimodal emotion recognition
BibRef
Oh, H.S.[Hyung-Seok],
Lee, S.H.[Sang-Hoon],
Cho, D.H.[Deok-Hyeon],
Lee, S.W.[Seong-Whan],
DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging
Discrete Representations Without Text Alignment,
AffCom(16), No. 3, July 2025, pp. 1660-1674.
IEEE DOI
2509
Feature extraction, Autoencoders, Context modeling, Transformers,
Acoustics, Speech recognition, Computational modeling, Vocoders,
style disentanglement
BibRef
Chu, Y.Q.[Yu-Qi],
Liao, L.[Lizi],
Zhou, Z.Y.[Zhi-Yuan],
Ngo, C.W.[Chong-Wah],
Hong, R.C.[Ri-Chang],
Towards Multimodal Emotional Support Conversation Systems,
MultMed(27), 2025, pp. 8276-8287.
IEEE DOI
2511
Emotion recognition, Mental health, Artificial intelligence,
Videos, Employee welfare, Conversational artificial intelligence,
multimodality
BibRef
Cao, Y.[YuKun],
Huang, L.[Luobin],
Tang, Y.J.[Yi-Jia],
PeTracker: Poincaré-Based Dual-Strategy Emotion Tracker for Emotion
Recognition in Conversation,
AffCom(16), No. 3, July 2025, pp. 2020-2032.
IEEE DOI
2509
Emotion recognition, Contrastive learning, Semantics,
Context modeling, Oral communication, Feature extraction, Training,
emotion recognition in conversation
BibRef
Shen, S.Y.[Si-Yuan],
Liu, F.[Feng],
Wang, H.Y.[Han-Yang],
Zhou, A.[Aimin],
Towards Speaker-Unknown Emotion Recognition in Conversation via
Progressive Contrastive Deep Supervision,
AffCom(16), No. 3, July 2025, pp. 2261-2273.
IEEE DOI
2509
Emotion recognition, Training, Feature extraction,
Oral communication, Speaker recognition, Affective computing,
deep supervision
BibRef
Yang, Z.Y.[Zhen-Yu],
Zhang, Z.B.[Zhi-Bo],
Cheng, Y.[Yuhu],
Zhang, T.[Tong],
Wang, X.S.[Xue-Song],
Semantic and Emotional Dual Channel for Emotion Recognition in
Conversation,
AffCom(16), No. 3, July 2025, pp. 1885-1902.
IEEE DOI
2509
Emotion recognition, Semantics, Context modeling, Accuracy,
Knowledge engineering, Data mining, Analytical models,
dialogue emotion propagation graph
BibRef
Tu, G.[Geng],
Jing, R.[Ran],
Liang, B.[Bin],
Yu, Y.[Yue],
Yang, M.[Min],
Qin, B.[Bing],
Xu, R.F.[Rui-Feng],
Generalizing to Unseen Speakers: Multimodal Emotion Recognition in
Conversations With Speaker Generalization,
AffCom(16), No. 4, October 2025, pp. 3043-3054.
IEEE DOI
2512
Uncertainty, Prototypes, Emotion recognition, Context modeling,
Visualization, Training, Oral communication, Graph neural networks,
contrastive learning
BibRef
Rao, Y.J.[Yu-Jing],
Cao, M.[Min],
Ye, M.[Mang],
Contextual Graph Reconstruction and Emotional Variation Learning for
Conversational Emotion Recognition,
AffCom(16), No. 4, October 2025, pp. 3067-3080.
IEEE DOI
2512
Emotion recognition, Image reconstruction, Context modeling,
Oral communication, Affective computing, Data mining,
emotional variation
BibRef
Lai, Q.F.[Qi-Feng],
Liu, H.[Han],
Li, Y.M.[Yuan-Man],
Gong, Z.G.[Zhi-Guo],
Wang, W.[Wei],
Emotions Like Human: Self-Supervised Emotion Label Augmentation for
Emotion Recognition in Conversation,
AffCom(17), No. 1, January 2026, pp. 817-828.
IEEE DOI
2603
Emotion recognition, Context modeling, Training,
Computational modeling, Fuses, Data models, natural language processing
BibRef
An, X.C.[Xiao-Chun],
Zhang, X.[Xu],
Li, X.[Xiaoge],
Pei, E.[Ercheng],
Yan, Q.L.[Qing-Li],
He, L.[Lang],
LLM-driven fine-grained emotion parsing and parameterized mapping for
conversational TTS,
PR(179), 2026, pp. 113544.
Elsevier DOI
2606
Conversational TTS, Large language models(LLMs),
Fine-grained emotion parsing, Parameterized mapping, Prompt enhancement
BibRef
Suh, J.[Jina],
Le, L.[Lindy],
Shayegani, E.[Erfan],
Ramos, G.[Gonzalo],
Amores, J.[Judith],
Ong, D.C.[Desmond C.],
Czerwinski, M.[Mary],
Hernandez, J.[Javier],
SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of
Empathy in Sustained Human-AI Conversations,
AffCom(17), No. 2, April 2026, pp. 2227-2244.
IEEE DOI
2606
Artificial intelligence, Oral communication, Taxonomy, Psychology,
Annotations, Accuracy, Large language models, Affective computing, dataset
BibRef
Guo, L.[Lili],
Cui, Y.[Yanan],
Song, Y.K.[Yi-Kang],
Hou, H.W.[Hai-Wei],
Ding, S.F.[Shi-Fei],
EmoKEG: Knowledge-enhanced heterogeneous graph for emotion
recognition in conversation,
PR(179), 2026, pp. 113500.
Elsevier DOI
2606
Emotion recognition in conversation,
COMET Knowledge extraction, Common knowledge
BibRef
Zhang, G.Z.[Guang-Zi],
Zhang, Y.P.[Yu-Peng],
Wang, L.[Liang],
Zhang, J.[Junru],
Cai, X.Q.[Xing-Quan],
CAS-ODE: Jointly Learning Adaptive Structures and Continuous Dynamics
for Emotion Recognition in Conversation,
SPLetters(33), 2026, pp. 2405-2409.
IEEE DOI
2606
Modeling, Learning (artificial intelligence),
Emotion recognition, Dynamics, Evolution (biology), Permission,
spatiotemporal modeling
BibRef
Dong, Q.[Qian],
Ren, W.H.[Wei-Hong],
Gao, Y.[Yu],
Liu, J.Z.[Jian-Zhuang],
Liu, H.H.[Hong-Hai],
Context Modeling With Multimodal Prompts for Emotion Recognition in
Conversation,
MultMed(28), 2026, pp. 5288-5302.
IEEE DOI
2607
Emotion recognition, Visualization, Feature extraction,
Context modeling, Facial expressions, Graph neural networks,
multimodal prompt
BibRef
Park, S.C.[Sun-Chan],
Kim, H.S.[Hyung Soon],
Kong, K.[Kyeongbo],
Group-Wise Layer Aggregation of Self-Supervised Representations for
Speech Emotion Recognition,
SPLetters(33), 2026, pp. 2705-2709.
IEEE DOI
2607
Modeling, Speech, Emotion recognition, Training, Labeling,
Self-supervised learning, Statistics, Signal processing,
self-supervised models
BibRef
Xu, X.[Xu],
Muhammad, G.[Ghulam],
Quantum-driven attention and relation-aware distillation for
multi-modal emotion recognition in conversations,
PR(180), 2026, pp. 114157.
Elsevier DOI
2608
Emotion recognition in conversations, Multi-modal information,
Attention mechanism, Knowledge distillation
BibRef
Zhang, J.[Jian],
Zhao, P.Z.[Pei-Zheng],
Wang, Q.[Qiufeng],
Liu, H.[Han],
Lu, D.M.[Dong-Ming],
Wu, F.Y.[Fang-Yu],
SENTI: Semantic Enhancement and Relation Propagation Network for
multimodal emotion recognition in conversations,
PR(180), 2026, pp. 114019.
Elsevier DOI
2608
Multimodal emotion recognition in conversations,
Hypergraph neural networks, Semantic enhancement
BibRef
Zhang, X.[Xiang],
Li, X.T.[Xiao-Tian],
Wang, T.[Taoyue],
Bi, N.[Nan],
Zhou, X.[Xin],
Zhou, C.[Cody],
Wang, Z.[Zoie],
Yang, A.[Andrew],
Su, Y.M.[Yu-Ming],
Cohn, J.[Jeff],
Ji, Q.[Qiang],
Yin, L.J.[Li-Jun],
Inter-Stance: A Dyadic Multimodal Corpus for Conversational Stance
Analysis,
FG26(1-9)
IEEE DOI
2609
Modeling, Videos, Faces, Visualization, Indexes, Indexing,
Recording, Design methodology
BibRef
Naini, A.R.[Abinay Reddy],
Busso, C.[Carlos],
Ordinal-Based Speech Emotion Recognition Leveraging Consecutive
Trends: A Curriculum-Driven Preference Learning Approach,
AffCom(17), No. 3, July 2026, pp. 3420-3433.
IEEE DOI
2609
Feeds, Digital audio broadcasting, Filtering, Filters,
Digital audio broadcasting, Digital communication,
ordinal labels
BibRef
Wang, K.[Kunxia],
Liu, X.[Xudong],
Yamauchi, T.[Takashi],
Liu, L.[Li],
UCSM-TG: Utterance, Conversation and Speaker-Level Speech Emotion
Tracking Model in Conversations Using Transformer-GRU,
AffCom(17), No. 3, July 2026, pp. 3756-3766.
IEEE DOI
2609
Feeds, Antennas, Contacts, Information filtering,
Recommender systems, Videos, LoRa, Video equipment,
transformer-GRU
BibRef
Triantafyllopoulos, A.[Andreas],
Batliner, A.[Anton],
Schuller, B.W.[Björn W.],
Charting 15 Years of Progress in Deep Learning for Speech Emotion
Recognition: A Replication Study,
AffCom(17), No. 3, July 2026, pp. 3185-3199.
IEEE DOI
2609
Feeds, Digital audio broadcasting, Filtering, Filters,
Integrated circuits, Digital audio broadcasting,
speech emotion recognition
BibRef
Busso, C.[Carlos],
Lotfian, R.[Reza],
Sridhar, K.[Kusha],
Salman, A.N.[Ali N.],
Lin, W.C.[Wei-Cheng],
Goncalves, L.[Lucas],
Parthasarathy, S.[Srinivas],
Naini, A.R.[Abinay Reddy],
Leem, S.G.[Seong-Gyun],
Martinez-Lucas, L.[Luz],
Chou, H.C.[Huang-Cheng],
Mote, P.[Pravin],
The MSP-Podcast Corpus,
AffCom(17), No. 3, July 2026, pp. 3065-3083.
IEEE DOI
2609
Digital audio broadcasting, Filtering, Feedback, Filters, MIMICs,
Millimeter wave integrated circuits,
speech emotion recognition
BibRef
Feng, Z.[Zehui],
Wu, T.[Tong],
Zhu, Z.P.[Zhao-Peng],
Han, T.[Ting],
Hypergraph-based global-local Virtual Unified Emotion fusion for
multimodal emotion recognition in conversations,
PR(180), 2026, pp. 114584.
Elsevier DOI
2609
Multimodal fusion, Emotion recognition, Graph neural network
BibRef
Chen, T.T.[Tian-Tian],
Li, Z.L.[Ze-Lin],
Chen, X.[Xuri],
Shen, Y.[Ying],
Jin, H.[Hengyu],
Zhang, L.[Lin],
Zhao, S.J.[Sheng-Jie],
CORA: A Cognitive Reframing Dialogue Agent for Supporting Emotion
Regulation,
AffCom(17), No. 3, July 2026, pp. 2432-2447.
IEEE DOI
2609
Modeling, Employee welfare, Distortion, Tuning,
Large language models, Mood, Mental health
BibRef
Kian, M.[Mina],
Wang, Y.W.[Yun-Wen],
Upadhyay, S.[Shriya],
Li, Z.J.[Zong-Jian],
Singh, A.[Abhyuday],
Nan, Y.[Yuanfeixue],
North, M.[Mallory],
Zareno, K.[Kaitlin],
Sang, P.[Pau],
Browning, W.[Wallace],
Wang, J.[Jessica],
Miller, L.C.[Lynn Carol],
Soleymani, M.[Mohammad],
Mataric, M.[Maja],
Embodied Agent-Facilitated Virtual Support Groups for University
Students,
AffCom(17), No. 3, July 2026, pp. 3052-3064.
IEEE DOI
2609
Robots, Modeling, Mental health, Testing, Chatbots, Timing,
Large language models, Psychology, Affective computing, robotics
BibRef
Che, X.[Xinyi],
Wang, W.B.[Wen-Bo],
Hou, Y.B.[Yuan-Bo],
Xie, M.J.[Ming-Jie],
Zhao, Q.J.[Qi-Jun],
Guan, J.[Jian],
Angle-Optimized Partial Disentanglement for Multimodal Emotion
Recognition in Conversation,
AffCom(17), No. 3, July 2026, pp. 2612-2624.
IEEE DOI
2609
Recommender systems, Information filtering, Videos,
Video equipment, Communication systems, Modulation,
multimodal emotion recognition in conversation
BibRef
Wu, S.P.[Shou-Pu],
Lin, J.L.[Jia-Li],
Wang, X.Y.[Xiao-Yi],
Jiang, D.[Dazhi],
Cambria, E.[Erik],
Bridging Discrepancies in Debate: Joint Debate for Enhancing
Multimodal Emotion-Cause Pair Extraction in Conversation,
AffCom(17), No. 3, July 2026, pp. 2780-2795.
IEEE DOI
2609
Feeds, Antennas, Filtering, Filters, Videos, Video equipment,
Product development, LoRa, Fuses, Affective computing,
LLMs debate
BibRef
Nguyen, V.[Vy],
Zhang, X.Z.[Xiu-Zhen],
Xia, F.[Feng],
Bootstrap Wayfinding Questions to Elicit Emotion Shift Reasoning With
Large Language Models,
AffCom(17), No. 3, July 2026, pp. 2963-2972.
IEEE DOI
2609
Payloads, Feedback, Protocols,
Communication systems, Emotion analysis,
natural language processing
BibRef
Hwang, S.[Seokju],
Shim, M.[Midan],
Gong, Y.[Yeseul],
Kim, D.H.[Dong-Hyun],
Lee, K.H.[Kyong-Ho],
FineESC: Fine-Grained Emotional Support Conversation With Turn-Level
Importance Modeling via Subquestion Reasoning,
AffCom(17), No. 3, July 2026, pp. 3230-3244.
IEEE DOI
2609
Modeling, Turning, Cognition, Cognitive systems,
Large language models, Context, Current, Computational linguistics,
turn-level importance score
BibRef
Zeng, K.[Keyan],
Chen, F.Y.[Fei-Yu],
Shao, J.[Jie],
Shen, H.T.[Heng Tao],
Heterogeneous Graph Denoising Network for Incomplete Multimodal
Emotion Recognition in Conversation,
AffCom(17), No. 3, July 2026, pp. 3245-3258.
IEEE DOI
2609
Modeling, Noise reduction, Emotion recognition, Noise, Training,
Computers, Distance measurement, Incomplete multimodal learning,
graph diffusion
BibRef
Ji, H.[Hongru],
Wang, W.H.[Wen-Hao],
Zhao, M.[Meng],
Gao, C.[Chao],
Chen, X.B.[Xiao-Bo],
Wang, Z.[Zhen],
EvoGraph-Former: Affective Narrative Evolution Modeling for Unified
Sentiment-Emotion Analysis in Multimodal Conversation,
AffCom(17), No. 3, July 2026, pp. 3283-3295.
IEEE DOI
2609
Modeling, Emotion recognition, Evolution (biology), Training,
Contrastive learning, Sentiment analysis, Dynamics,
graph attention network
BibRef
Wan, Y.J.[Yu-Jie],
Dong, Z.Q.[Zai-Quan],
Li, Y.[Yao],
Zhou, H.W.[Han-Wen],
Jiang, B.X.[Bao-Xing],
Ju, S.G.[Sheng-Gen],
An Empathetic Response Generation Framework Based on the
Cognition-Emotion Chain-of-Thought,
AffCom(17), No. 3, July 2026, pp. 3479-3492.
IEEE DOI
2609
Modeling, Labeling, Large language models, Cognition,
Signal detection, Turning, Distortion, Training,
emotional intensity constraint
BibRef
Kim, Y.[Yeonju],
Park, S.J.[Se Jin],
Ro, Y.M.[Yong Man],
Empathetic Response in Audio-Visual Conversations Using Emotion
Preference Optimization and MambaCompressor,
AffCom(17), No. 3, July 2026, pp. 3610-3625.
IEEE DOI
2609
Modeling, Optimization, Visualization, Training, Labeling, Context,
History, Videos, Generative Pre-trained transformer, Grounding,
preference optimization
BibRef
Ye, J.[Jing],
Xiang, L.[Lu],
Zhao, X.[Xinpei],
Zong, C.Q.[Cheng-Qing],
DQ-Former: Layer-Wise Querying Transformer With Dynamic Modality
Priority for Conversational Multimodal Emotion Recognition,
AffCom(17), No. 3, July 2026, pp. 3668-3682.
IEEE DOI
2609
Feeds, Filtering, Filters, Internet, Instant messaging,
Protocols, Videos, Video equipment, dynamic modality priorities
BibRef
Sun, X.[Xiao],
Liu, X.[Xuxiong],
Jiang, Y.[Yueqi],
ERMoV: Modeling Affective Mental States via Emotion Regulation for
Dialogue Emotion Recognition,
AffCom(17), No. 3, July 2026, pp. 3701-3716.
IEEE DOI
2609
Modeling, Cognition, Cognitive systems, Emotion recognition, Damping,
Labeling, Matrices, Context, Emotion recognition in conversations,
graph neural networks
BibRef
Colom, S.C.[Silvia Casino],
Gonzalez-Sosa, E.[Ester],
Orduna, M.[Marta],
Amor-Martin, A.[Adrian],
Pérez, P.[Pablo],
Villegas, A.[Alvaro],
Vibe360+: An extended study on group-level deep emotional
understanding in immersive communication,
SP:IC(148), 2026, pp. 117671.
Elsevier DOI
2609
Immersive communication, Emotional understanding,
Group understanding, 360 video, Facial analysis, Mixed reality
BibRef
Chudasama, V.[Vishal],
Kar, P.[Purbayan],
Gudmalwar, A.[Ashish],
Shah, N.[Nirmesh],
Wasnik, P.[Pankaj],
Onoe, N.[Naoyuki],
M2FNet: Multi-modal Fusion Network for Emotion Recognition in
Conversation,
MULA22(4651-4660)
IEEE DOI
2210
Human computer interaction, Emotion recognition, Visualization,
Adaptation models, Benchmark testing, Feature extraction, Robustness
BibRef
Rahman, A.K.M.M.[A.K.M. Mahbubur],
Tanveer, M.I.[M. Iftekhar],
Anam, A.I.[Asm Iftekhar],
Yeasin, M.[Mohammed],
IMAPS: A smart phone based real-time framework for prediction of affect
in natural dyadic conversation,
VCIP12(1-6).
IEEE DOI
1302
BibRef
Aubrey, A.J.[Andrew J.],
Marshall, D.[David],
Rosin, P.L.[Paul L.],
Vendeventer, J.[Jason],
Cunningham, D.W.[Douglas W.],
Wallraven, C.[Christian],
Cardiff Conversation Database (CCDb):
A Database of Natural Dyadic Conversations,
LV13(277-282)
IEEE DOI
1309
Dataset, Facial Expressions. Conversations; Database; Facial Expressions
BibRef
Marcos-Ramiro, A.,
Pizarro-Perez, D.,
Marron-Romera, M.,
Nguyen, L.,
Gatica-Perez, D.[Daniel],
Body communicative cue extraction for conversational analysis,
FG13(1-8)
IEEE DOI
1309
feature extraction. Non-verbal communication. Gestures, etc.
BibRef
Escalera, S.[Sergio],
Puertas, E.[Eloi],
Radeva, P.I.[Petia I.],
Pujol, O.[Oriol],
Multi-modal laughter recognition in video conversations,
CVPR4HB09(110-115).
IEEE DOI
0906
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, from Other Than Faces, Speech Emotion .