21.3.6.2.4 Emotion Recognition Using EEG Analysis, Electroencephalogram

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

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


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

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 .


Last update:Jul 10, 2020 at 16:03:35