Petrantonakis, P.C.,
Hadjileontiadis, L.J.,
Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering
and Higher Order Crossings Analysis,
AffCom(1), No. 2, July-December 2010, pp. 81-97.
IEEE DOI
1202
BibRef
Petrantonakis, P.C.[Panagiotis C.],
Higher Order Crossings Analysis of Signals Over Graphs,
SPLetters(28), 2021, pp. 837-841.
IEEE DOI
2105
BibRef
Koelstra, S.[Sander],
Patras, I.[Ioannis],
Fusion of facial expressions and EEG for implicit affective tagging,
IVC(31), No. 2, February 2013, pp. 164-174.
Elsevier DOI
1303
Emotion classification; EEG; Facial expressions; Signal processing;
Pattern classification; Affective computing
BibRef
Jenke, R.,
Peer, A.,
Buss, M.,
Feature Extraction and Selection for Emotion Recognition from EEG,
AffCom(5), No. 3, July 2014, pp. 327-339.
IEEE DOI
1412
electroencephalography
BibRef
Huang, X.H.[Xiao-Hua],
Kortelainen, J.[Jukka],
Zhao, G.Y.[Guo-Ying],
Li, X.B.[Xiao-Bai],
Moilanen, A.[Antti],
Seppänen, T.[Tapio],
Pietikäinen, M.[Matti],
Multi-modal emotion analysis from facial expressions and
electroencephalogram,
CVIU(147), No. 1, 2016, pp. 114-124.
Elsevier DOI
1605
Multi-modal emotion recognition
BibRef
Soleymani, M.,
Asghari-Esfeden, S.,
Fu, Y.,
Pantic, M.,
Analysis of EEG Signals and Facial Expressions for Continuous Emotion
Detection,
AffCom(7), No. 1, January 2016, pp. 17-28.
IEEE DOI
1603
Databases
BibRef
Lan, Z.[Zirui],
Sourina, O.[Olga],
Wang, L.[Lipo],
Liu, Y.[Yisi],
Real-time EEG-based emotion monitoring using stable features,
VC(32), No. 3, March 2016, pp. 347-358.
WWW Link.
1604
BibRef
Iacoviello, D.,
Petracca, A.,
Spezialetti, M.,
Placidi, G.,
A Classification Algorithm for Electroencephalography Signals by
Self-Induced Emotional Stimuli,
Cyber(46), No. 12, December 2016, pp. 3171-3180.
IEEE DOI
1612
Cybernetics
BibRef
Zhao, G.,
Ge, Y.,
Shen, B.,
Wei, X.,
Wang, H.,
Emotion Analysis for Personality Inference from EEG Signals,
AffCom(9), No. 3, July 2018, pp. 362-371.
IEEE DOI
1809
Electroencephalography, Brain modeling, Erbium,
Emotion recognition, Social network services, Psychology,
affective computing
BibRef
Liu, Y.,
Yu, M.,
Zhao, G.,
Song, J.,
Ge, Y.,
Shi, Y.,
Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals,
AffCom(9), No. 4, October 2018, pp. 550-562.
IEEE DOI
1812
Emotion recognition, Real-time systems, Electroencephalography,
Brain models, Films, Support vector machines, Affective computing,
movie
BibRef
Alarcão, S.M.,
Fonseca, M.J.,
Emotions Recognition Using EEG Signals: A Survey,
AffCom(10), No. 3, July 2019, pp. 374-393.
IEEE DOI
1909
Survey, Emotions, EEG. Electroencephalography, Electrodes, Electric potential,
Emotion recognition, Feature extraction, Brain, recognition
BibRef
Zheng, W.,
Zhu, J.,
Lu, B.,
Identifying Stable Patterns over Time for Emotion Recognition from
EEG,
AffCom(10), No. 3, July 2019, pp. 417-429.
IEEE DOI
1909
Electroencephalography, Emotion recognition, Stability analysis,
Feature extraction, Brain modeling, Time-frequency analysis,
extreme learning machine
BibRef
Zheng, W.,
Liu, W.,
Lu, Y.,
Lu, B.,
Cichocki, A.,
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions,
Cyber(49), No. 3, March 2019, pp. 1110-1122.
IEEE DOI
1902
Electroencephalography, Emotion recognition, Electrodes,
Feature extraction, Human computer interaction,
multimodal deep neural networks
BibRef
Nguyen, T.,
Zhou, T.,
Potter, T.,
Zou, L.,
Zhang, Y.,
The Cortical Network of Emotion Regulation:
Insights From Advanced EEG-fMRI Integration Analysis,
MedImg(38), No. 10, October 2019, pp. 2423-2433.
IEEE DOI
1910
Functional magnetic resonance imaging, Electroencephalography,
Spatiotemporal phenomena, Image reconstruction, Brain modeling,
causal brain network
BibRef
Chen, S.Y.[Shi-Yu],
Wang, S.F.[Shang-Fei],
Wu, C.L.[Chong-Liang],
Gao, Z.[Zhen],
Shi, X.X.[Xiao-Xiao],
Ji, Q.A.[Qi-Ang],
Implicit hybrid video emotion tagging by integrating video content
and users' multiple physiological responses,
ICPR16(295-300)
IEEE DOI
1705
Electroencephalography, Feature extraction, Physiology,
Support vector machines, Tagging, Testing, Training
BibRef
Soroush, M.Z.[Morteza Zangeneh],
Maghooli, K.[Keivan],
Setarehdan, S.K.[Seyed Kamaledin],
Nasrabadi, A.M.[Ali Motie],
A novel EEG-based approach to classify emotions through phase space
dynamics,
SIViP(13), No. 6, September 2019, pp. 1149-1156.
Springer DOI
1908
BibRef
Singh, B.K.[Bikesh Kumar],
Khare, A.[Ankur],
Soni, A.K.[Abhishek Kumar],
Kumar, A.[Arun],
Electroencephalography-based classification of human emotion:
A hybrid strategy in machine learning paradigm,
IJCVR(9), No. 6, 2019, pp. 583-598.
DOI Link
1912
BibRef
Basar, M.D.[Merve Dogruyol],
Duru, A.D.[Adil Deniz],
Akan, A.[Aydin],
Emotional state detection based on common spatial patterns of EEG,
SIViP(14), No. 3, April 2020, pp. 473-481.
WWW Link.
2004
BibRef
Becker, H.,
Fleureau, J.,
Guillotel, P.,
Wendling, F.,
Merlet, I.,
Albera, L.,
Emotion Recognition Based on High-Resolution EEG Recordings and
Reconstructed Brain Sources,
AffCom(11), No. 2, April 2020, pp. 244-257.
IEEE DOI
2006
Electroencephalography, Feature extraction, Videos, Databases,
Emotion recognition, Physiology, Brain modeling, EEG,
functional connectivity
BibRef
Kim, B.H.,
Jo, S.,
Deep Physiological Affect Network for the Recognition of Human
Emotions,
AffCom(11), No. 2, April 2020, pp. 230-243.
IEEE DOI
2006
Emotion recognition, Physiology, Brain modeling,
Electroencephalography, Biomedical monitoring, Convolution,
arousal
BibRef
Zhang, D.,
Yao, L.,
Chen, K.,
Wang, S.,
Chang, X.,
Liu, Y.,
Making Sense of Spatio-Temporal Preserving Representations for
EEG-Based Human Intention Recognition,
Cyber(50), No. 7, July 2020, pp. 3033-3044.
IEEE DOI
2006
Electroencephalography, Electrodes, Brain modeling,
Feature extraction, Biological neural networks,
temporal information
BibRef
Li, J.,
Qiu, S.,
Shen, Y.,
Liu, C.,
He, H.,
Multisource Transfer Learning for Cross-Subject EEG Emotion
Recognition,
Cyber(50), No. 7, July 2020, pp. 3281-3293.
IEEE DOI
2006
Brain modeling, Electroencephalography, Emotion recognition,
Data models, Training, Calibration, Training data,
transfer learning (TL)
BibRef
Masui, K.,
Nagasawa, T.,
Doi, H.,
Tsumura, N.,
Continuous estimation of emotional change using multimodal affective
responses,
CVPM20(1172-1180)
IEEE DOI
2008
Iron, Electroencephalography, Heart rate, Cameras, Physiology, Robots,
Feature extraction
BibRef
Song, T.,
Zheng, W.,
Song, P.,
Cui, Z.,
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural
Networks,
AffCom(11), No. 3, July 2020, pp. 532-541.
IEEE DOI
2008
Electroencephalography, Emotion recognition, Brain modeling,
Feature extraction, Convolutional neural networks, Convolution,
dynamical convolutional neural networks (DGCNN)
BibRef
Wang, Y.X.[Yi-Xin],
Qiu, S.[Shuang],
Ma, X.L.[Xue-Lin],
He, H.G.[Hui-Guang],
A prototype-based SPD matrix network for domain adaptation EEG
emotion recognition,
PR(110), 2021, pp. 107626.
Elsevier DOI
2011
EEG, Emotion recognition, Domain adaptation, SPD matrix,
Riemannian manifold, Prototype learning
BibRef
Fu, K.C.[Kai-Cheng],
Du, C.D.[Chang-De],
Wang, S.P.[Sheng-Pei],
He, H.G.[Hui-Guang],
Improved Video Emotion Recognition With Alignment of CNN and Human
Brain Representations,
AffCom(15), No. 3, July 2024, pp. 1026-1040.
IEEE DOI
2409
Emotion recognition, Feature extraction, Brain modeling,
Visualization, Convolutional neural networks, Training,
video emotion recognition
BibRef
Piho, L.,
Tjahjadi, T.,
A Mutual Information Based Adaptive Windowing of Informative EEG for
Emotion Recognition,
AffCom(11), No. 4, October 2020, pp. 722-735.
IEEE DOI
2011
Electroencephalography, Feature extraction, Emotion recognition,
Electrooculography, Mutual information, Task analysis,
data reduction
BibRef
Fu, B.X.[Bo-Xun],
Li, F.[Fu],
Niu, Y.[Yi],
Wu, H.[Hao],
Li, Y.[Yang],
Shi, G.M.[Guang-Ming],
Conditional generative adversarial network for EEG-based emotion
fine-grained estimation and visualization,
JVCIR(74), 2021, pp. 102982.
Elsevier DOI
2101
Affective computing, Electroencephalography,
Generative adversarial network, Fine-grained
BibRef
Moghimi, M.[Mohammadhossein],
Stone, R.[Robert],
Rotshtein, P.[Pia],
Affective Recognition in Dynamic and Interactive Virtual Environments,
AffCom(11), No. 1, January 2020, pp. 45-62.
IEEE DOI
2003
Games, Databases, Feature extraction, Human computer interaction,
Electroencephalography, Physiology, Virtual reality,
emotion-based affective physiological database
BibRef
Comas, J.,
Aspandi, D.,
Binefa, X.,
End-to-end Facial and Physiological Model for Affective Computing and
Applications,
FG20(93-100)
IEEE DOI
2102
Biological system modeling, Physiology, Feature extraction,
Medical treatment, Estimation, Electrocardiography,
Deep Learning
BibRef
Ding, Y.,
Hu, X.,
Xia, Z.,
Liu, Y.J.,
Zhang, D.,
Inter-Brain EEG Feature Extraction and Analysis for Continuous
Implicit Emotion Tagging During Video Watching,
AffCom(12), No. 1, January 2021, pp. 92-102.
IEEE DOI
2103
Tagging, Electroencephalography, Streaming media,
Multimedia communication, Feature extraction, Real-time systems,
implicit tagging
BibRef
Pereira, E.T.,
Gomes, H.M.,
Veloso, L.R.,
Mota, M.R.A.,
Empirical Evidence Relating EEG Signal Duration to Emotion
Classification Performance,
AffCom(12), No. 1, January 2021, pp. 154-164.
IEEE DOI
2103
Electroencephalography, Videos, Emotion recognition, Physiology,
Affective computing, Skin, Electromyography, Emotion recognition,
EEG datasets
BibRef
Li, Y.[Yang],
Zheng, W.M.[Wen-Ming],
Zong, Y.[Yuan],
Cui, Z.[Zhen],
Zhang, T.[Tong],
Zhou, X.Y.[Xiao-Yan],
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG
Emotion Recognition,
AffCom(12), No. 2, April 2021, pp. 494-504.
IEEE DOI
2106
Electroencephalography, Feature extraction, Brain modeling,
Emotion recognition, Biological neural networks, Neuroscience,
adversarial network
BibRef
Chen, B.[Bianna],
Chen, C.L.P.[C. L. Philip],
Zhang, T.[Tong],
GDDN: Graph Domain Disentanglement Network for Generalizable EEG
Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1739-1753.
IEEE DOI
2409
Electroencephalography, Emotion recognition, Brain modeling,
Affective computing, Training, Predictive models,
inter-subject variability
BibRef
Chen, C.L.P.[C. L. Philip],
Chen, B.[Bianna],
Zhang, T.[Tong],
AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion
Recognition,
Cyber(55), No. 5, May 2025, pp. 2038-2051.
IEEE DOI
2505
Electroencephalography, Emotion recognition, Feature extraction,
Brain modeling, Topology, Adaptive systems, Wavelet transforms,
subject adaptability
BibRef
Wu, M.Q.[Meng-Qi],
Chen, C.L.P.[C. L. Philip],
Chen, B.[Bianna],
Zhang, T.[Tong],
Grop: Graph Orthogonal Purification Network for EEG Emotion
Recognition,
AffCom(16), No. 1, January 2025, pp. 319-332.
IEEE DOI
2503
Electroencephalography, Feature extraction, Emotion recognition,
Purification, Convolution, Robustness, Redundancy,
Grop
BibRef
Greco, A.[Alberto],
Valenza, G.[Gaetano],
Scilingo, E.P.[Enzo Pasquale],
Brain Dynamics During Arousal-Dependent Pleasant/Unpleasant Visual
Elicitation: An Electroencephalographic Study on the Circumplex Model
of Affect,
AffCom(12), No. 2, April 2021, pp. 417-428.
IEEE DOI
2106
Electroencephalography, Spectral analysis, Visualization,
Brain modeling, Emotion recognition, Hippocampus, Brain dynamics,
EEG
BibRef
García-Martínez, B.[Beatriz],
Fernández-Caballero, A.[Antonio],
Alcaraz, R.[Raúl],
Martínez-Rodrigo, A.[Arturo],
Assessment of dispersion patterns for negative stress detection from
electroencephalographic signals,
PR(119), 2021, pp. 108094.
Elsevier DOI
2108
Electroencephalography, Distress, Dispersion patterns, Nonlinear analysis
BibRef
García-Martínez, B.[Beatriz],
Martínez-Rodrigo, A.[Arturo],
Alcaraz, R.[Raúl],
Fernández-Caballero, A.[Antonio],
A Review on Nonlinear Methods Using Electroencephalographic
Recordings for Emotion Recognition,
AffCom(12), No. 3, July 2021, pp. 801-820.
IEEE DOI
2109
Electroencephalography, Emotion recognition, Electrodes,
Complexity theory, Time series analysis, Distance measurement,
survey
BibRef
Zhang, X.W.[Xiao-Wei],
Liu, J.Y.[Jin-Yong],
Shen, J.[Jian],
Li, S.J.[Shao-Jie],
Hou, K.[Kechen],
Hu, B.[Bin],
Gao, J.[Jin],
Zhang, T.[Tong],
Hu, B.[Bin],
Emotion Recognition From Multimodal Physiological Signals Using a
Regularized Deep Fusion of Kernel Machine,
Cyber(51), No. 9, September 2021, pp. 4386-4399.
IEEE DOI
2109
Physiology, Emotion recognition, Feature extraction, Kernel,
Task analysis, Brain modeling, Fuses, Deep neural network,
multimodal fusion
BibRef
Issa, S.[Sali],
Peng, Q.[Qinmu],
You, X.G.[Xin-Ge],
Emotion Classification Using EEG Brain Signals and the Broad Learning
System,
SMCS(51), No. 12, December 2021, pp. 7382-7391.
IEEE DOI
2112
Electroencephalography, Feature extraction, Electrodes, Databases,
Support vector machines, Continuous wavelet transforms, Training,
gray-scale image (GSI)
BibRef
Moon, S.E.[Seong-Eun],
Kim, J.H.[Jun-Hyuk],
Kim, S.W.[Sun-Wook],
Lee, J.S.[Jong-Seok],
Prediction of Car Design Perception Using EEG and Gaze Patterns,
AffCom(12), No. 4, October 2021, pp. 843-856.
IEEE DOI
2112
Product design, Electroencephalography, Product design,
Gaze tracking, Monitoring, Neural activity, Complexity theory,
design evaluation
BibRef
Ashokkumar, S.R.,
Anupallavi, S.,
MohanBabu, G.,
Premkumar, M.,
Jeevanantham, V.,
Emotion identification by dynamic entropy and ensemble learning from
electroencephalogram signals,
IJIST(32), No. 1, 2022, pp. 402-413.
DOI Link
2201
dynamic entropy, EEG, emotion, ensemble learning, recurrent neural network
BibRef
Puk, K.M.[Kin Ming],
Wang, S.[Shouyi],
Rosenberger, J.[Jay],
Gandy, K.C.[Kellen C.],
Harris, H.N.[Haley Nicole],
Peng, Y.B.[Yuan Bo],
Nordberg, A.[Anne],
Lehmann, P.[Peter],
Tommerdahl, J.[Jodi],
Chiao, J.C.[Jung-Chih],
Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group
Lasso,
AffCom(13), No. 1, January 2022, pp. 199-210.
IEEE DOI
2203
Electroencephalography, Feature extraction, Emotion recognition,
Brain modeling, Physiology, Atmospheric measurements,
group structure learning
BibRef
Parsons, T.D.[Thomas D.],
McMahan, T.[Timothy],
Parberry, I.[Ian],
Classification of Video Game Player Experience Using Consumer-Grade
Electroencephalography,
AffCom(13), No. 1, January 2022, pp. 3-15.
IEEE DOI
2203
Electroencephalography, Task analysis, Games, Electric potential,
Synchronization, Real-time systems, Protocols, Neurogaming, arousal
BibRef
Siddharth,
Jung, T.P.[Tzyy-Ping],
Sejnowski, T.J.[Terrence J.],
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and
Vision-Based Affective Computing,
AffCom(13), No. 1, January 2022, pp. 96-107.
IEEE DOI
2203
Electroencephalography, Electrocardiography, Feature extraction,
Deep learning, Affective computing, Face, Support vector machines,
emotion processing
BibRef
Zhang, T.[Tong],
Wang, X.[Xuehan],
Xu, X.M.[Xiang-Min],
Chen, C.L.P.[C. L. Philip],
GCB-Net: Graph Convolutional Broad Network and Its Application in
Emotion Recognition,
AffCom(13), No. 1, January 2022, pp. 379-388.
IEEE DOI
2203
Convolution, Electroencephalography, Feature extraction,
Emotion recognition, Brain modeling, Learning systems,
graph convolutional broad network
BibRef
Li, Z.Y.[Zi-Yu],
Wu, X.[Xia],
Xu, X.Y.[Xue-Yuan],
Wang, H.L.[Hai-Ling],
Guo, Z.H.[Zheng-Hao],
Zhan, Z.C.[Zhi-Chao],
Yao, L.[Li],
The Recognition of Multiple Anxiety Levels Based on
Electroencephalograph,
AffCom(13), No. 1, January 2022, pp. 519-529.
IEEE DOI
2203
Electroencephalography, Image segmentation, Feature extraction,
Writing, Band-pass filters, Correlation, Support vector machines,
public English speech
BibRef
Spelt, H.A.A.[Hanne A. A.],
Westerink, J.H.D.M.[Joyce H. D. M.],
Ham, J.[Jaap],
Ijsselsteijn, W.A.[Wijnand A.],
Psychophysiological Reactions to Persuasive Messages Deploying
Persuasion Principles,
AffCom(13), No. 1, January 2022, pp. 461-472.
IEEE DOI
2203
Physiology, Psychology, Current measurement,
Heart rate variability, Peripheral nervous system, Cognition,
valence
BibRef
Li, H.Y.[Han-Yu],
Zhang, X.[Xu],
Xia, Y.[Ying],
EEG Emotion Recognition Based on Dynamically Organized Graph Neural
Network,
MMMod22(II:344-355).
Springer DOI
2203
BibRef
Miyamoto, K.[Kana],
Tanaka, H.[Hiroki],
Nakamura, S.[Satoshi],
Online EEG-Based Emotion Prediction and Music Generation for Inducing
Affective States,
IEICE(E105-D), No. 5, May 2022, pp. 1050-1063.
WWW Link.
2205
BibRef
Fourati, R.[Rahma],
Ammar, B.[Boudour],
Sanchez-Medina, J.[Javier],
Alimi, A.M.[Adel M.],
Unsupervised Learning in Reservoir Computing for EEG-Based Emotion
Recognition,
AffCom(13), No. 2, April 2022, pp. 972-984.
IEEE DOI
2206
Feature extraction, Electroencephalography, Emotion recognition,
Reservoirs, Brain modeling, Task analysis, Erbium,
intrinsic plasticity
BibRef
Kang, J.S.[Jun-Su],
Kavuri, S.[Swathi],
Lee, M.H.[Min-Ho],
ICA-Evolution Based Data Augmentation with Ensemble Deep Neural
Networks Using Time and Frequency Kernels for Emotion Recognition
from EEG-Data,
AffCom(13), No. 2, April 2022, pp. 616-627.
IEEE DOI
2206
Feature extraction, Electroencephalography,
Time-frequency analysis, Emotion recognition, Training data, LSTM
BibRef
Zhang, S.[Su],
Tang, C.G.[Chuan-Gao],
Guan, C.T.[Cun-Tai],
Visual-to-EEG cross-modal knowledge distillation for continuous
emotion recognition,
PR(130), 2022, pp. 108833.
Elsevier DOI
2206
Continuous emotion recognition, Knowledge distillation, Cross-modality
BibRef
Gao, Y.[Yue],
Fu, X.L.[Xiang-Ling],
Ouyang, T.X.[Tian-Xiong],
Wang, Y.[Yi],
EEG-GCN: Spatio-Temporal and Self-Adaptive Graph Convolutional
Networks for Single and Multi-View EEG-Based Emotion Recognition,
SPLetters(29), 2022, pp. 1574-1578.
IEEE DOI
2208
Electroencephalography, Feature extraction, Emotion recognition,
Convolution, Frequency-domain analysis, Brain modeling,
spatio-temporal attention mechanism
BibRef
Zhou, J.[Jian],
Zhao, T.T.[Tian-Tian],
Xie, Y.[Yong],
Xiao, F.[Fu],
Sun, L.J.[Li-Juan],
Emotion Recognition Based on Brain Connectivity Reservoir and Valence
Lateralization for Cyber-Physical-Social Systems,
PRL(161), 2022, pp. 154-160.
Elsevier DOI
2209
Emotion recognition, EEG, Brain connectivity,
Valence lateralization, CPSS
BibRef
Wang, H.[Hailing],
Wu, X.[Xia],
Yao, L.[Li],
Identifying Cortical Brain Directed Connectivity Networks From
High-Density EEG for Emotion Recognition,
AffCom(13), No. 3, July 2022, pp. 1489-1500.
IEEE DOI
2209
Electroencephalography, Emotion recognition, Motion pictures,
Feature extraction, Electrodes, Neural activity,
emotion recognition
BibRef
Du, X.B.[Xia-Bing],
Ma, C.X.[Cui-Xia],
Zhang, G.H.[Guan-Hua],
Li, J.[Jinyao],
Lai, Y.K.[Yu-Kun],
Zhao, G.Z.[Guo-Zhen],
Deng, X.M.[Xiao-Ming],
Liu, Y.J.[Yong-Jin],
Wang, H.A.[Hong-An],
An Efficient LSTM Network for Emotion Recognition From Multichannel
EEG Signals,
AffCom(13), No. 3, July 2022, pp. 1528-1540.
IEEE DOI
2209
Electroencephalography, Feature extraction, Brain modeling,
Emotion recognition, Electrodes, Data models, domain adaptation
BibRef
Zhao, G.Z.[Guo-Zhen],
Zhang, Y.L.[Yu-Lin],
Zhang, G.H.[Guan-Hua],
Zhang, D.[Dan],
Liu, Y.J.[Yong-Jin],
Multi-Target Positive Emotion Recognition From EEG Signals,
AffCom(14), No. 1, January 2023, pp. 370-381.
IEEE DOI
2303
Emotion recognition, Electroencephalography, Brain modeling,
Feature extraction, Psychology, Task analysis, Predictive models, EEG
BibRef
Zhang, G.H.[Guan-Hua],
Yu, M.J.[Min-Jing],
Liu, Y.J.[Yong-Jin],
Zhao, G.Z.[Guo-Zhen],
Zhang, D.[Dan],
Zheng, W.M.[Wen-Ming],
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals,
AffCom(14), No. 1, January 2023, pp. 537-548.
IEEE DOI
2303
Electroencephalography, Electrodes, Brain modeling,
Emotion recognition, Feature extraction, Physiology, Convolution,
sparse constraints
BibRef
Sarkar, P.[Pritam],
Etemad, A.[Ali],
Self-Supervised ECG Representation Learning for Emotion Recognition,
AffCom(13), No. 3, July 2022, pp. 1541-1554.
IEEE DOI
2209
Electrocardiography, Feature extraction, Emotion recognition,
Task analysis, Machine learning, Affective computing, Stress,
multi-task learning
BibRef
Zhang, G.Y.[Guang-Yi],
Davoodnia, V.[Vandad],
Etemad, A.[Ali],
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG
Learning for Emotion Recognition,
AffCom(13), No. 4, October 2022, pp. 2185-2200.
IEEE DOI
2212
Electroencephalography, Emotion recognition, Feature extraction,
Brain modeling, Computational modeling, Training, Deep learning,
emotion recognition
BibRef
Hasan, S.M.S.[S.M. Shafiul],
Siddiquee, M.R.[Masudur R.],
Marquez, J.S.[J. Sebastian],
Bai, O.[Ou],
Enhancement of Movement Intention Detection Using EEG Signals
Responsive to Emotional Music Stimulus,
AffCom(13), No. 3, July 2022, pp. 1637-1650.
IEEE DOI
2209
Electroencephalography, Wrist, Brain-computer interfaces,
Filtering, Psychology, Electric potential, Testing, Affective state,
brain-computer interface
BibRef
Zhong, P.X.[Pei-Xiang],
Wang, D.[Di],
Miao, C.Y.[Chun-Yan],
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks,
AffCom(13), No. 3, July 2022, pp. 1290-1301.
IEEE DOI
2209
Electroencephalography, Brain modeling, Emotion recognition,
Noise measurement, Convolution, Biological neural networks, SEED
BibRef
Agarwal, R.[Rupal],
Andujar, M.[Marvin],
Canavan, S.[Shaun],
Classification of emotions using EEG activity associated with
different areas of the brain,
PRL(162), 2022, pp. 71-80.
Elsevier DOI
2210
EEG, DEAP, DREAMER, DASPS, Affective computing, Deep neural networks, Emotion
BibRef
Lew, W.C.L.[Wai-Cheong Lincoln],
Wang, D.[Di],
Ang, K.K.[Kai Keng],
Lim, J.H.[Joo-Hwee],
Quek, C.[Chai],
Tan, A.H.[Ah-Hwee],
EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary
Signals,
AffCom(13), No. 4, October 2022, pp. 1827-1839.
IEEE DOI
2212
Electroencephalography, Brain modeling, Visualization, Semantics,
Reinforcement learning, Annotations, Supervised learning, multimodality
BibRef
Peng, Y.[Yong],
Wang, W.J.[Wen-Juan],
Kong, W.Z.[Wan-Zeng],
Nie, F.P.[Fei-Ping],
Lu, B.L.[Bao-Liang],
Cichocki, A.[Andrzej],
Joint Feature Adaptation and Graph Adaptive Label Propagation for
Cross-Subject Emotion Recognition From EEG Signals,
AffCom(13), No. 4, October 2022, pp. 1941-1958.
IEEE DOI
2212
Electroencephalography, Brain modeling, Emotion recognition,
Data models, Adaptation models, Training, State estimation, label propagation
BibRef
Sun, M.Y.[Ming-Yi],
Cui, W.G.[Wei-Gang],
Yu, S.[Shuyue],
Han, H.B.[Hong-Bin],
Hu, B.[Bin],
Li, Y.[Yang],
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer
Feature Fusion Network for EEG Emotion Recognition,
AffCom(13), No. 4, October 2022, pp. 2218-2228.
IEEE DOI
2212
Electroencephalography, Feature extraction, Emotion recognition,
Convolution, Brain modeling, Transformers, Transfer learning, EEG,
transfer learning
BibRef
Song, T.F.[Teng-Fei],
Liu, S.[Suyuan],
Zheng, W.M.[Wen-Ming],
Zong, Y.[Yuan],
Cui, Z.[Zhen],
Li, Y.[Yang],
Zhou, X.Y.[Xiao-Yan],
Variational Instance-Adaptive Graph for EEG Emotion Recognition,
AffCom(14), No. 1, January 2023, pp. 343-356.
IEEE DOI
2303
Electroencephalography, Emotion recognition, Feature extraction,
Brain modeling, Time-frequency analysis, Electrodes, Uncertainty,
variational inference
BibRef
Li, X.[Xiang],
Zhang, Y.Z.[Ya-Zhou],
Tiwari, P.[Prayag],
Song, D.W.[Da-Wei],
Hu, B.[Bin],
Yang, M.H.[Mei-Hong],
Zhao, Z.G.[Zhi-Gang],
Kumar, N.[Neeraj],
Marttinen, P.[Pekka],
EEG Based Emotion Recognition: A Tutorial and Review,
Surveys(55), No. 4, April 2023, pp. xx-yy.
DOI Link
2212
Survey, EEG Emotion. psychophysiological computing, Affective Computing,
emotion recognition, EEG
BibRef
Xu, X.Y.[Xue-Yuan],
Jia, T.Y.[Tian-Yuan],
Li, Q.[Qing],
Wei, F.[Fulin],
Ye, L.[Long],
Wu, X.[Xia],
EEG Feature Selection via Global Redundancy Minimization for Emotion
Recognition,
AffCom(14), No. 1, January 2023, pp. 421-435.
IEEE DOI
2303
Electroencephalography, Feature extraction, Emotion recognition,
Brain modeling, Redundancy, Electrodes, Task analysis, EEG,
orthogonal regression
BibRef
Tao, W.[Wei],
Li, C.[Chang],
Song, R.C.[Ren-Cheng],
Cheng, J.[Juan],
Liu, Y.[Yu],
Wan, F.[Feng],
Chen, X.[Xun],
EEG-Based Emotion Recognition via Channel-Wise Attention and Self
Attention,
AffCom(14), No. 1, January 2023, pp. 382-393.
IEEE DOI
2303
Electroencephalography, Feature extraction, Emotion recognition,
Data mining, Task analysis, Convolution, Databases, self-attention
BibRef
Li, C.[Chang],
Zhang, Z.Z.[Zhong-Zhen],
Song, R.[Rencheng],
Cheng, J.[Juan],
Liu, Y.[Yu],
Chen, X.[Xun],
EEG-Based Emotion Recognition via Neural Architecture Search,
AffCom(14), No. 2, April 2023, pp. 957-968.
IEEE DOI
2306
Brain modeling, Emotion recognition, Electroencephalography,
Feature extraction, Computational modeling,
reinforcement learning (RL)
BibRef
Jao, P.K.[Ping-Keng],
Chavarriaga, R.[Ricardo],
del R. Millán, J.[José],
EEG-Based Online Regulation of Difficulty in Simulated Flying,
AffCom(14), No. 1, January 2023, pp. 394-405.
IEEE DOI
2303
Task analysis, Electroencephalography, Decoding, Protocols, Drones,
Manuals, Trajectory, EEG, real-time decoding of difficulty,
(simulated) flying
BibRef
Du, G.L.[Guang-Long],
Zhou, W.[Wenpei],
Li, C.Q.[Chun-Quan],
Li, D.[Di],
Liu, P.X.[Peter X.],
An Emotion Recognition Method for Game Evaluation Based on
Electroencephalogram,
AffCom(14), No. 1, January 2023, pp. 591-602.
IEEE DOI
2303
Electroencephalography, Games, Emotion recognition, Convolution,
Brain modeling, Fuzzy neural networks, Neural networks,
classification
BibRef
Brouwer, A.M.,
van den Broek, T.J.,
Hogervorst, M.A.,
Kaneko, D.,
Toet, A.,
Kallen, V.,
van Erp, J.B.F.,
Estimating Affective Taste Experience Using Combined Implicit
Behavioral and Neurophysiological Measures,
AffCom(14), No. 1, January 2023, pp. 849-856.
IEEE DOI
2303
Physiology, Electroencephalography, Heart rate,
Particle measurements, Organizations, tasting
BibRef
Huang, W.C.[Wei-Chen],
Wu, W.[Wei],
Lucas, M.V.[Molly V.],
Huang, H.Y.[Hai-Yun],
Wen, Z.F.[Zhen-Fu],
Li, Y.Q.[Yuan-Qing],
Neurofeedback Training With an Electroencephalogram-Based
Brain-Computer Interface Enhances Emotion Regulation,
AffCom(14), No. 2, April 2023, pp. 998-1011.
IEEE DOI
2306
Regulation, Training, Neurofeedback, Electroencephalography,
Real-time systems, Anxiety disorders, Task analysis,
neural pattern
BibRef
Jang, S.[Soobeom],
Moon, S.E.[Seong-Eun],
Lee, J.S.[Jong-Seok],
EEG-Based Emotional Video Classification via Learning Connectivity
Structure,
AffCom(14), No. 2, April 2023, pp. 1586-1597.
IEEE DOI
2306
Feature extraction, Brain modeling, Electroencephalography,
Data mining, Convolution, Convolutional neural networks,
connectivity
BibRef
Zhang, G.Y.[Guang-Yi],
Etemad, A.[Ali],
Distilling EEG representations via capsules for affective computing,
PRL(171), 2023, pp. 99-105.
Elsevier DOI
2306
Model compression, Capsule network, Electroencephalography, Deep learning
BibRef
Khan, P.[Pritam],
Ranjan, P.[Priyesh],
Kumar, S.[Sudhir],
AT2GRU: A Human Emotion Recognition Model With Mitigated Device
Heterogeneity,
AffCom(14), No. 2, April 2023, pp. 1520-1532.
IEEE DOI
2306
Emotion recognition, Brain modeling, Physiology,
Electroencephalography, Data models, Feature extraction, healthcare
BibRef
Zhao, Y.X.[Yu-Xuan],
Cao, X.[Xinyan],
Lin, J.L.[Jin-Long],
Yu, D.[Dunshan],
Cao, X.X.[Xi-Xin],
Multimodal Affective States Recognition Based on Multiscale CNNs and
Biologically Inspired Decision Fusion Model,
AffCom(14), No. 2, April 2023, pp. 1391-1403.
IEEE DOI
2306
Physiology, Brain modeling, Feature extraction,
Electroencephalography, Biological system modeling, Convolution,
physiological signals
BibRef
Cai, H.[Huili],
Liu, X.F.[Xiao-Feng],
Ni, R.R.[Rong-Rong],
Song, S.Y.[Si-Yang],
Cangelosi, A.[Angelo],
Emotion Recognition Through Combining EEG and EOG Over Relevant
Channels With Optimal Windowing,
HMS(53), No. 4, August 2023, pp. 697-706.
IEEE DOI
2308
Electroencephalography, Emotion recognition, Electrooculography,
Feature extraction, Brain modeling, Redundancy, Task analysis,
time-window size selection
BibRef
Zhang, Y.Z.[Yu-Zhe],
Liu, H.[Huan],
Zhang, D.L.[Da-Lin],
Chen, X.X.[Xu-Xu],
Qin, T.[Tao],
Zheng, Q.H.[Qing-Hua],
EEG-Based Emotion Recognition With Emotion Localization via
Hierarchical Self-Attention,
AffCom(14), No. 3, July 2023, pp. 2458-2469.
IEEE DOI
2310
BibRef
Shen, X.K.[Xin-Ke],
Liu, X.G.[Xiang-Gen],
Hu, X.[Xin],
Zhang, D.[Dan],
Song, S.[Sen],
Contrastive Learning of Subject-Invariant EEG Representations for
Cross-Subject Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2496-2511.
IEEE DOI
2310
BibRef
Ding, Y.[Yi],
Robinson, N.[Neethu],
Zhang, S.[Su],
Zeng, Q.[Qiuhao],
Guan, C.T.[Cun-Tai],
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG
for Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2238-2250.
IEEE DOI Code:
WWW Link.
2310
BibRef
Chen, H.Y.[Hua-Yu],
Sun, S.T.[Shu-Ting],
Li, J.X.[Jian-Xiu],
Yu, R.L.[Rui-Lan],
Li, N.[Nan],
Li, X.W.[Xiao-Wei],
Hu, B.[Bin],
Personal-Zscore: Eliminating Individual Difference for EEG-Based
Cross-Subject Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2077-2088.
IEEE DOI
2310
BibRef
Zhang, Z.[Zhi],
Liu, Y.[Yan],
Zhong, S.H.[Sheng-Hua],
GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based
Emotion Recognition,
AffCom(14), No. 3, July 2023, pp. 2048-2063.
IEEE DOI
2310
BibRef
Li, Y.[Yang],
Chen, J.[Ji],
Li, F.[Fu],
Fu, B.[Boxun],
Wu, H.[Hao],
Ji, Y.[Youshuo],
Zhou, Y.J.[Yi-Jin],
Niu, Y.[Yi],
Shi, G.M.[Guang-Ming],
Zheng, W.M.[Wen-Ming],
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion
Recognition,
AffCom(14), No. 3, July 2023, pp. 2512-2525.
IEEE DOI
2310
BibRef
Huang, H.Y.[Hui-Yu],
Fan, M.[Miaolin],
Chou, C.A.[Chun-An],
Graph-based learning of nonlinear physiological interactions for
classification of emotions,
PR(143), 2023, pp. 109794.
Elsevier DOI
2310
Emotion recognition, Network physiology,
Multimodal physiological signals, Dynamical interactions, Graph mining
BibRef
Cui, H.[Heng],
Liu, A.[Aiping],
Zhang, X.[Xu],
Chen, X.[Xiang],
Liu, J.[Jun],
Chen, X.[Xun],
EEG-Based Subject-Independent Emotion Recognition Using Gated
Recurrent Unit and Minimum Class Confusion,
AffCom(14), No. 4, October 2023, pp. 2740-2750.
IEEE DOI
2312
BibRef
Du, X.B.[Xia-Bing],
Deng, X.M.[Xiao-Ming],
Qin, H.[Hangyu],
Shu, Y.[Yezhi],
Liu, F.[Fang],
Zhao, G.Z.[Guo-Zhen],
Lai, Y.K.[Yu-Kun],
Ma, C.X.[Cui-Xia],
Liu, Y.J.[Yong-Jin],
Wang, H.A.[Hong-An],
MMPosE: Movie-Induced Multi-Label Positive Emotion Classification
Through EEG Signals,
AffCom(14), No. 4, October 2023, pp. 2925-2938.
IEEE DOI
2312
BibRef
Zhang, X.[Xinyi],
Cheng, X.[Xiankai],
A Transformer Convolutional Network With the Method of Image
Segmentation for EEG-Based Emotion Recognition,
SPLetters(31), 2024, pp. 401-405.
IEEE DOI
2402
Feature extraction, Electroencephalography, Transformers,
Image segmentation, Emotion recognition.
BibRef
Shen, Y.W.[Yi-Wei],
Lin, Y.P.[Yuan-Pin],
Cross-Day Data Diversity Improves Inter-Individual Emotion
Commonality of Spatio-Spectral EEG Signatures Using Independent
Component Analysis,
AffCom(15), No. 1, January 2024, pp. 210-222.
IEEE DOI
2403
Electroencephalography, Integrated circuits, Brain modeling,
Emotional responses, Modulation, Task analysis,
multiple-day independent component analysis (ICA)
BibRef
Orozco, J.A.[Jesus A.],
Artemiadis, P.[Panagiotis],
Extracting Human Levels of Trust in Human-Swarm Interaction Using
EEG Signals,
HMS(54), No. 2, April 2024, pp. 182-191.
IEEE DOI
2404
Behavioral sciences, Force, Electroencephalography, Task analysis,
Feature extraction, Sensors, Robot sensing systems,
trust
BibRef
Liu, B.X.[Bing-Xiu],
Guo, J.F.[Ji-Feng],
Chen, C.L.P.[C. L. Philip],
Wu, X.[Xia],
Zhang, T.[Tong],
Fine-Grained Interpretability for EEG Emotion Recognition:
Concat-Aided Grad-CAM and Systematic Brain Functional Network,
AffCom(15), No. 2, April 2024, pp. 671-684.
IEEE DOI
2406
Electroencephalography, Emotion recognition, Brain modeling,
Feature extraction, Convolutional neural networks,
interpretability
BibRef
Zhou, R.S.[Ru-Shuang],
Zhang, Z.G.[Zhi-Guo],
Fu, H.[Hong],
Zhang, L.[Li],
Li, L.L.[Lin-Ling],
Huang, G.[Gan],
Li, F.[Fali],
Yang, X.[Xin],
Dong, Y.N.[Yi-Ning],
Zhang, Y.T.[Yuan-Ting],
Liang, Z.[Zhen],
PR-PL: A Novel Prototypical Representation Based Pairwise Learning
Framework for Emotion Recognition Using EEG Signals,
AffCom(15), No. 2, April 2024, pp. 657-670.
IEEE DOI
2406
Brain modeling, Electroencephalography, Emotion recognition,
Transfer learning, Adaptation models, Labeling,
affective computing
BibRef
Wang, Y.M.[Yi-Ming],
Yu, H.[Hui],
Gao, W.H.[Wei-Hong],
Xia, Y.F.[Yi-Fan],
Nduka, C.[Charles],
MGEED: A Multimodal Genuine Emotion and Expression Detection Database,
AffCom(15), No. 2, April 2024, pp. 606-619.
IEEE DOI
2406
Databases, Emotion recognition, Electroencephalography, Physiology,
Feature extraction, Electrocardiography, Electromyography,
multimodal emotion database
BibRef
Chang, Y.D.[Ya-Dong],
Zheng, X.W.[Xian-Wei],
Chen, Y.J.[Yi-Jun],
Li, X.[Xutao],
Miao, Q.[Qing],
Spatiotemporal Gated Graph Transformer for EEG-Based Emotion
Recognition,
SPLetters(31), 2024, pp. 1630-1634.
IEEE DOI
2406
Transformers, Electroencephalography, Brain modeling, Encoding,
Feature extraction, Emotion recognition, Data models, EEG, gating mechanism
BibRef
Wang, Y.M.[Yi-Ming],
Zhang, B.[Bin],
Di, L.[Lamei],
Research Progress of EEG-Based Emotion Recognition: A Survey,
Surveys(56), No. 11, July 2024, pp. xx-yy.
DOI Link
2408
Survey, Emotion EEG. EEG, emotion recognition, feature analysis, overfitting,
physiological knowledge finding, multimodal
BibRef
Wang, Y.B.[Yan-Bing],
He, H.[Hong],
Electroencephalogram Emotion Recognition Based on Manifold
Geomorphological Features in Riemannian Space,
IEEE_Int_Sys(39), No. 4, July 2024, pp. 23-36.
IEEE DOI
2408
Electroencephalography, Manifolds, Intelligent systems,
Emotion recognition, Feature extraction, Mutual information,
Fuzzy reasoning
BibRef
Jin, M.[Ming],
Du, C.D.[Chang-De],
He, H.G.[Hui-Guang],
Cai, T.[Ting],
Li, J.P.[Jin-Peng],
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion
Recognition,
MultMed(26), 2024, pp. 9070-9082.
IEEE DOI
2408
Electroencephalography, Emotion recognition, Feature extraction,
Electrodes, Convolutional neural networks, Scalp,
knowledge-based modelling
BibRef
Wang, X.Y.[Xin-Yuan],
Wang, D.[Danli],
Gao, X.[Xuange],
Zhao, Y.Y.[Yan-Yan],
Chiu, S.C.[Steve C.],
Enhancing EEG-Based Decision-Making Performance Prediction by
Maximizing Mutual Information Between Emotion and Decision-Relevant
Features,
AffCom(15), No. 3, July 2024, pp. 1228-1240.
IEEE DOI
2409
Decision making, Brain modeling, Feature extraction,
Electroencephalography, Predictive models, Task analysis,
relevant feature fusion
BibRef
Zhang, Y.T.[Yong-Tao],
Pan, Y.[Yue],
Zhang, Y.L.[Yu-Lin],
Zhang, M.[Min],
Li, L.L.[Lin-Ling],
Zhang, L.[Li],
Huang, G.[Gan],
Su, L.[Lei],
Liu, H.H.[Hong-Hai],
Liang, Z.[Zhen],
Zhang, Z.G.[Zhi-Guo],
Unsupervised Time-Aware Sampling Network With Deep Reinforcement
Learning for EEG-Based Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1090-1103.
IEEE DOI
2409
Electroencephalography, Feature extraction, Emotion recognition,
Deep learning, Brain modeling, Convolutional neural networks,
unsupervised learning
BibRef
Xu, Y.L.[Yong-Ling],
Du, Y.[Yang],
Li, L.[Ling],
Lai, H.H.[Hong-Hao],
Zou, J.[Jing],
Zhou, T.Y.[Tian-Ying],
Xiao, L.[Lushan],
Liu, L.[Li],
Ma, P.C.[Peng-Cheng],
AMDET: Attention Based Multiple Dimensions EEG Transformer for
Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1067-1077.
IEEE DOI
2409
Electroencephalography, Feature extraction, Emotion recognition,
Time-frequency analysis, Data mining, Brain modeling, Transformers,
multi-dimensional information
BibRef
Liu, F.[Fang],
Yang, P.[Pei],
Shu, Y.Z.[Ye-Zhi],
Liu, N.[Niqi],
Sheng, J.[Jenny],
Luo, J.W.[Jun-Wen],
Wang, X.A.[Xiao-An],
Liu, Y.J.[Yong-Jin],
Emotion Recognition From Few-Channel EEG Signals by Integrating Deep
Feature Aggregation and Transfer Learning,
AffCom(15), No. 3, July 2024, pp. 1315-1330.
IEEE DOI
2409
Electroencephalography, Emotion recognition, Electrodes,
Brain modeling, Feature extraction, Transfer learning, cross-device
BibRef
Zhong, X.Y.[Xin-Yue],
Liu, W.Q.[Wan-Qing],
Xie, J.[Jialan],
Gu, Y.[Yun],
Liu, G.Y.[Guang-Yuan],
Olfactory-Enhanced VR: What's the Difference in Brain Activation
Compared to Traditional VR for Emotion Induction?,
AffCom(15), No. 3, July 2024, pp. 1331-1342.
IEEE DOI
2409
Olfactory, Electroencephalography, Virtual reality, Videos, Brain,
Limbic system, Electroencephalography (EEG), emotion induction,
olfactory-enhanced virtual reality
BibRef
Yang, X.N.[Xiao-Nan],
Peng, Y.[Yilu],
Han, Y.Y.[Yu-Yang],
Li, F.Y.[Fang-Yi],
Zhang, Q.[Qin],
Wu, S.[Shuo],
Wu, X.[Xia],
Interaction Between Dynamic Affection and Arithmetic Cognitive
Ability: A Practical Investigation With EEG Measurement,
AffCom(15), No. 3, July 2024, pp. 1427-1438.
IEEE DOI
2409
Electroencephalography, Cognition, Monitoring, Task analysis,
Brain modeling, Emotion recognition, Real-time systems,
interactions
BibRef
Li, X.J.[Xiao-Jun],
Chen, C.L.P.[C. L. Philip],
Chen, B.[Bianna],
Zhang, T.[Tong],
Gusa: Graph-Based Unsupervised Subdomain Adaptation for Cross-Subject
EEG Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1451-1462.
IEEE DOI
2409
Electroencephalography, Emotion recognition, Brain modeling,
Task analysis, Measurement, Convolution, Adaptation models,
metric learning
BibRef
Jiménez-Guarneros, M.[Magdiel],
Fuentes-Pineda, G.[Gibran],
CFDA-CSF: A Multi-Modal Domain Adaptation Method for Cross-Subject
Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1502-1513.
IEEE DOI
2409
Electroencephalography, Emotion recognition, Correlation,
Task analysis, Brain modeling, Proposals, Training, Deep learning,
multi-modal domain adaptation
BibRef
Zhu, Q.[Qi],
Zheng, C.[Chuhang],
Zhang, Z.[Zheng],
Shao, W.[Wei],
Zhang, D.Q.[Dao-Qiang],
Dynamic Confidence-Aware Multi-Modal Emotion Recognition,
AffCom(15), No. 3, July 2024, pp. 1358-1370.
IEEE DOI
2409
Uncertainty, Emotion recognition, Brain modeling, Data models,
Electroencephalography, Training, Robustness, Multi-modal fusion,
self-paced learning
BibRef
Liu, F.[Fang],
Yang, P.[Pei],
Shu, Y.[Yezhi],
Yan, F.[Fei],
Zhang, G.H.[Guan-Hua],
Liu, Y.J.[Yong-Jin],
Emotion Dictionary Learning With Modality Attentions for Mixed
Emotion Exploration,
AffCom(15), No. 3, July 2024, pp. 1289-1302.
IEEE DOI
2409
Emotion recognition, Physiology, Task analysis, Brain modeling,
Electroencephalography, Dictionaries, Visualization, multi-modal
BibRef
Spapé, M.[Michiel],
Mäkelä, K.[Kalle],
Ruotsalo, T.[Tuukka],
NEMO: A Database for Emotion Analysis Using Functional Near-Infrared
Spectroscopy,
AffCom(15), No. 3, July 2024, pp. 1166-1177.
IEEE DOI
2409
Functional near-infrared spectroscopy, Task analysis,
Neuroimaging, Electroencephalography, Databases,
signal processing
BibRef
Turchet, L.[Luca],
O'Sullivan, B.[Barry],
Ortner, R.[Rupert],
Guger, C.[Christoph],
Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic
Signals,
HMS(54), No. 5, October 2024, pp. 619-629.
IEEE DOI
2410
Electroencephalography, Electrodes, Physiology,
Electrocardiography, Emotion recognition, Acoustics,
music information retrieval (MIR)
BibRef
Huang, W.C.[Wei-Chen],
Wang, W.L.[Wen-Long],
Li, Y.Q.[Yuan-Qing],
Wu, W.[Wei],
FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power
and Connectivity Features for EEG-Based Emotion Decoding,
AffCom(15), No. 4, October 2024, pp. 1906-1918.
IEEE DOI
2412
Electroencephalography, Feature extraction, Decoding, Convolution,
Emotion recognition, Biological neural networks, connectivity
BibRef
Gong, X.R.[Xin-Rong],
Chen, C.L.P.[C. L. Philip],
Hu, B.[Bin],
Zhang, T.[Tong],
CiABL: Completeness-Induced Adaptative Broad Learning for
Cross-Subject Emotion Recognition With EEG and Eye Movement Signals,
AffCom(15), No. 4, October 2024, pp. 1970-1984.
IEEE DOI
2412
Electroencephalography, Emotion recognition, Brain modeling,
Task analysis, Physiology, Affective computing, Adaptation models,
multimodal physiological data fusion
BibRef
Yang, Y.[Yi],
Wang, Z.[Ze],
Tao, W.[Wei],
Liu, X.[Xucheng],
Jia, Z.Y.[Zi-Yu],
Wang, B.[Boyu],
Wan, F.[Feng],
Spectral-Spatial Attention Alignment for Multi-Source Domain
Adaptation in EEG-Based Emotion Recognition,
AffCom(15), No. 4, October 2024, pp. 2012-2024.
IEEE DOI
2412
Feature extraction, Emotion recognition, Electroencephalography,
Cognition, Frequency-domain analysis, Brain modeling, Semantics,
EEG-based emotion recognition
BibRef
Yan, H.[Huachao],
Guo, K.L.[Kai-Ling],
Xing, X.F.[Xiao-Fen],
Xu, X.M.[Xiang-Min],
Bridge Graph Attention Based Graph Convolution Network With
Multi-Scale Transformer for EEG Emotion Recognition,
AffCom(15), No. 4, October 2024, pp. 2042-2054.
IEEE DOI
2412
Electroencephalography, Feature extraction, Convolution, Brain modeling,
Emotion recognition, Transformers, Bridges, EEG, over-smoothing
BibRef
Yi, Y.F.[Yu-Fan],
Xu, Y.P.[Yi-Ping],
Yang, B.[Bo],
Tian, Y.[Yan],
A Weighted Co-Training Framework for Emotion Recognition Based on EEG
Data Generation Using Frequency-Spatial Diffusion Transformer,
AffCom(15), No. 4, October 2024, pp. 2055-2069.
IEEE DOI
2412
Electroencephalography, Brain modeling, Emotion recognition,
Generative adversarial networks, Feature extraction, Correlation,
EEG data generation
BibRef
Si, X.P.[Xiao-Peng],
Huang, H.[He],
Yu, J.[Jiayue],
Ming, D.[Dong],
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint
Neural Processing Features of Human Emotions,
AffCom(15), No. 4, October 2024, pp. 2128-2138.
IEEE DOI
2412
Electroencephalography, Functional near-infrared spectroscopy,
Spatiotemporal phenomena, Affective computing, Noise,
dorsal attention network
BibRef
Ye, W.[Weishan],
Zhang, Z.G.[Zhi-Guo],
Teng, F.[Fei],
Zhang, M.[Min],
Wang, J.H.[Jian-Hong],
Ni, D.[Dong],
Li, F.[Fali],
Xu, P.[Peng],
Liang, Z.[Zhen],
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph
Contrastive Learning for Cross-Subject EEG-Based Emotion Recognition,
AffCom(16), No. 1, January 2025, pp. 290-305.
IEEE DOI
2503
Feature extraction, Emotion recognition, Brain modeling,
Electroencephalography, Streams, Data models, Transfer learning, EEG,
semi-supervised learning
BibRef
Nia, A.F.[Alireza Farrokhi],
Tang, V.[Vanessa],
Malyshau, V.[Valery],
Barde, A.[Amit],
Talou, G.D.M.[Gonzalo Daniel Maso],
Billinghurst, M.[Mark],
FEAD: Introduction to the fNIRS-EEG Affective Database - Video
Stimuli,
AffCom(16), No. 1, January 2025, pp. 15-27.
IEEE DOI
2503
Functional near-infrared spectroscopy, Electroencephalography,
Databases, Emotion recognition, Biomedical monitoring,
human-computer interaction
BibRef
Zhong, S.H.[Sheng-Hua],
Shi, J.H.[Jia-Hao],
Wang, Y.[Yi],
Knowledge-guided quantization-aware training for EEG-based emotion
recognition,
JVCIR(108), 2025, pp. 104415.
Elsevier DOI Code:
WWW Link.
2503
EEG-based emotion recognition,
Knowledge-guided network quantization, Model compression
BibRef
Sookha, L.R.[Lownish Rai],
Sharma, G.[Gulshan],
Ganaie, M.A.,
Dhall, A.[Abhinav],
A Spectro-Statistical Approach for Emotion Identification from EEG
Signals,
FG24(1-5)
IEEE DOI
2408
Human computer interaction, Face recognition,
Gesture recognition, Probability, Feature extraction,
Electroencephalography
BibRef
Nandan, A.D.M.[A.D. Mahit],
D, D.C.[Dhiraj Choudhary],
Godbole, I.[Ishan],
Kumar, M.A.[M. Anand],
Classifying Emotional States Through EEG-Derived Spectrograms,
FG24(1-5)
IEEE DOI
2408
Time series analysis, Sociology, Mental health, Medical services,
Brain modeling, Data models, User experience
BibRef
Freire-Obregón, D.[David],
Hernández-Sosa, D.[Daniel],
Santana, O.J.[Oliverio J.],
Lorenzo-Navarro, J.[Javier],
Castrillón-Santana, M.[Modesto],
Towards Bi-Hemispheric Emotion Mapping Through EEG:
A Dual-Stream Neural Network Approach,
FG24(1-5)
IEEE DOI Code:
WWW Link.
2408
Human computer interaction, Emotion recognition, Accuracy,
Neuroscience, Psychology, Gesture recognition, Electroencephalography
BibRef
Zhang, X.[Xu],
Du, T.Z.[Tian-Zhi],
Zhang, Z.[Zuyu],
EEG Emotion Recognition Based on Channel Attention for E-healthcare
Applications,
MMMod21(II:159-169).
Springer DOI
2106
BibRef
Li, X.T.[Xiao-Tian],
Zhang, X.[Xiang],
Yang, H.Y.[Hui-Yuan],
Duan, W.[Wenna],
Dai, W.Y.[Wei-Ying],
Yin, L.J.[Li-Jun],
An EEG-Based Multi-Modal Emotion Database with Both Posed and
Authentic Facial Actions for Emotion Analysis,
FG20(336-343)
IEEE DOI
2102
electroencephalography, emotion recognition, face recognition,
medical disorders, medical signal processing,
Action unit recognition
BibRef
Arnau-González, P.,
Katsigiannis, S.,
Arevalillo-Herráez, M.,
Ramzan, N.,
Image-Evoked Affect and its Impact on Eeg-Based Biometrics,
ICIP19(2591-2595)
IEEE DOI
1910
EEG, biometrics, image-evoked affect, template ageing, emotion
BibRef
Mioranda-Correa, J.A.,
Patras, I.,
A Multi-Task Cascaded Network for Prediction of Affect, Personality,
Mood and Social Context Using EEG Signals,
FG18(373-380)
IEEE DOI
1806
Brain modeling, Electroencephalography, Feature extraction,
Frequency-domain analysis, Mood, Neural networks, Physiology, Affect,
Valence
BibRef
de la Pava, I.[Iván],
Álvarez-Meza, A.[Andres],
Orozco, A.A.[Alvaro-Angel],
Emotion Assessment by Variability-Based Ranking of Coherence Features
from EEG,
CIARP17(203-211).
Springer DOI
1802
BibRef
Wang, F.[Fang],
Zhong, S.H.[Sheng-Hua],
Peng, J.F.[Jian-Feng],
Jiang, J.M.[Jian-Min],
Liu, Y.[Yan],
Data Augmentation for EEG-Based Emotion Recognition with Deep
Convolutional Neural Networks,
MMMod18(II:82-93).
Springer DOI
1802
BibRef
Abtahi, F.,
Ro, T.,
Li, W.,
Zhu, Z.,
Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and
Comparison Study,
WACV18(10-19)
IEEE DOI
1806
audio signal processing, electroencephalography,
electromyography, emotion recognition, feature extraction,
Machine learning
BibRef
Wu, S.[Shan],
Wang, S.F.[Shang-Fei],
Zhu, Y.C.[Ya-Chen],
Gao, Z.[Zhen],
Yue, L.H.[Li-Hua],
Ji, Q.A.[Qi-Ang],
Employing subjects' information as privileged information for emotion
recognition from EEG signals,
ICPR16(301-306)
IEEE DOI
1705
Bayes methods, Databases, Electroencephalography,
Emotion recognition, Feature extraction, Testing, Training
BibRef
Fernández, X.[Ximena],
García, R.[Rosana],
Ferreira, E.[Enrique],
Menéndez, J.[Juan],
Classification of Basic Human Emotions from Electroencephalography Data,
CIARP15(108-115).
Springer DOI
1511
BibRef
Khosrowabadi, R.[Reza],
Quek, H.C.[Hiok Chai],
Wahab, A.[Abdul],
Ang, K.K.[Kai Keng],
EEG-based Emotion Recognition Using Self-Organizing Map for Boundary
Detection,
ICPR10(4242-4245).
IEEE DOI
1008
BibRef
Korb, S.[Sebastian],
Grandjean, D.[Didier],
Scherer, K.R.[Klaus R.],
Investigating the production of emotional facial expressions:
A combined electroencephalographic (EEG) and electromyographic (EMG)
approach,
FG08(1-6).
IEEE DOI
0809
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Audio-Visual Emotion, Audiovisual Emotion Recognition .