22.3.6.2.6 Emotion Recognition Using EEG Analysis, Electroencephalogram

Chapter Contents (Back)
Emotion Recognition. Electroencephalogram. EEG.
See also Brain, Cortex, Brain Waves, EEG Analysis, Electroencephalogram.
See also Multi-Modal Emotion, Multimodal Emotion Recognition.

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
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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
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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

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.[Wenming], 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

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.[Ziyu], 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.[Wanzeng], 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.[Shuting], Li, J.X.[Jian-Xiu], Yu, R.[Ruilan], 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


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, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Audio-Visual Emotion, Audiovisual Emotion Recognition .


Last update:May 6, 2024 at 15:50:14