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
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
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
Alarcăo, 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
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
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
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
Grissmann, S.,
Spüler, M.,
Faller, J.,
Krumpe, T.,
Zander, T.O.,
Kelava, A.,
Scharinger, C.,
Gerjets, P.,
Context Sensitivity of EEG-Based Workload Classification Under
Different Affective Valence,
AffCom(11), No. 2, April 2020, pp. 327-334.
IEEE DOI
2006
Electroencephalography, Brain-computer interfaces,
Adaptive systems, Brain-computer interface (BCI),
emoback
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
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
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.[Klaus],
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
Emotion Recognition, from Other Than Faces .