Affectiva, Inc.,
2009.
WWW Link.
Vendor, Emotion Recognition. From the MIT Medial Lab work. Measurement and communication of emotion.
Emotient Analytics,
2009.
WWW Link.
Vendor, Emotion Recognition. Advertising, demographics, monitoring views, etc.
Coan, J.A.,
Allen, J.B., eds.,
The Handbook of Emotion Elicitation and Assessment,
Oxford University Press2006.
Indexed as:
BibRef
0600
EmotionElicitation06
BibRef
de Silva, L.C.[Liyanage C.],
Aizawa, K.[Kiyoharu],
Hatori, M.[Mitsutoshi],
Detection and Tracking of Facial Features by Using a
Facial Feature Model and Deformable Circular Template,
IEICE(E78-D), No. 9, September 1995, pp. 1195-1207.
BibRef
9509
de Silva, L.C.[Liyanage C.],
Bimodal Emotion Recognition,
AFGR00(332-335).
IEEE DOI
0003
BibRef
Picard, R.W.[Rosalind W.],
Affective Perception,
CACM(43), No. 3, March 2000, pp. 50-51.
BibRef
0003
And:
MIT Press1997.
0003
(Actually a sidebar.)
Recognition of emotions.
BibRef
Picard, R.W.[Rosalind W.],
Klein, J.[Jonathan],
Computers that Recognize and Respond to User Emotion:
Theoretical and Practical Implications,
Vismod-538, 2001.
HTML Version.
BibRef
0100
Picard, R.W.[Rosalind W.],
Building HAL:
Computers that sense, recognize, and respond to human emotion,
Vismod-532, 2001.
Also in: Society of Photo-Optical Instrumentation Engineers. Human Vision and Electronic Imaging VI, part of IS&T/SPIE9s Photonics West 2001
PDF File.
0105
BibRef
Picard, R.W.[Rosalind W.],
Toward computers that recognize and respond to user emotion,
IBMSystem(39), No. 3/4, 2000, pp. xx-yy.
BibRef
0001
And:
Vismod-535, 2000.
BibRef
And:
HTML Version.
HTML Version.
0105
BibRef
Scheirer, J.[Jocelyn],
Fernandez, R.[Raul],
Picard, R.W.[Rosalind W.],
Expression Glasses: A Wearable Device for Facial Expression Recognition,
Vismod--484, February 1999
PS File.
BibRef
9902
Scheirer, J.,
Fernandez, R.,
Klein, J., and
Picard, R.W.[Rosalind W.],
Frustratring the User on Purpose:
A Step Toward Building an Affective Computer,
Vismod--509, October 1999.
PS File.
BibRef
9910
Scheirer, J.[Jocelyn], and
Picard, R.W.[Rosalind W.],
Affective Objects,
Vismod--524, March 2000.
HTML Version.
BibRef
0003
Picard, R.W.[Rosalind W.],
Affective Computing for HCI,
Vismod--490, August 1999.
HTML Version.
BibRef
9908
Vyzas, E.[Elias], and
Picard, R.W.[Rosalind W.],
Affective Pattern Classification,
Vismod--473. September 1998.
PS File.
BibRef
9809
Picard, R.W., and
Cosier, G.,
Affective Intelligence: The Missing Link,
Vismod--448, October 1997.
HTML Version.
BibRef
9710
Picard, R.W.[Rosalind W.],
Vyzas, E.[Elias],
Healey, J.[Jennifer],
Toward Machine Emotional Intelligence:
Analysis of Affective Physiological State,
PAMI(23), No. 10, October 2001, pp. 1175-1191.
IEEE DOI
0110
Emotion recognition. Deal with issues of day-to-day changes
BibRef
Picard, R.W.[Rosalind W.],
Healey, J.[Jennifer],
Affective Wearables,
Vismod--467, December 1997.
HTML Version.
BibRef
9712
Healey, J.[Jennifer], and
Picard, R.W.[Rosalind W.],
Digital Processing of Affective Signals,
ICASSP98(xx)
BibRef
9800
And:
Vismod--444, 1997.
HTML Version.
BibRef
Hoque, M.E.[Mohammed Ehsan],
Picard, R.W.[Rosalind W.],
Rich Nonverbal Sensing Technology for Automated Social Skills
Training,
Computer(47), No. 4, April 2014, pp. 28-35.
IEEE DOI
1405
BibRef
Earlier:
Acted vs. natural frustration and delight:
Many people smile in natural frustration,
FG11(354-359).
IEEE DOI
1103
Behavioral science
BibRef
Hoque, M.E.[Mohammed Ehsan],
McDuff, D.J.[Daniel J.],
Picard, R.W.[Rosalind W.],
Exploring Temporal Patterns in Classifying Frustrated and Delighted
Smiles,
AffCom(3), No. 3, 2012, pp. 323-334.
IEEE DOI
1210
BibRef
Hu, T.M.[Tian-Ming],
de Silva, L.C.[Liyanage C.],
Sengupta, K.[Kuntal],
A hybrid approach of NN and HMM for facial emotion classification,
PRL(23), No. 11, September 2002, pp. 1303-1310.
Elsevier DOI
0206
BibRef
de Silva, P.R.S.[P. Ravindra S.],
Osano, M.[Minetada],
Marasinghe, A.[Ashu],
Madurapperuma, A.P.[Ajith P.],
A Computational Model for Recognizing Emotion with Intensity for
Machine Vision Applications,
IEICE(E89-D), No. 7, July 2006, pp. 2171-2179.
DOI Link
0607
BibRef
de Silva, P.R.S.[P. Ravindra S.],
Madurapperuma, A.P.[Ajith P.],
Marasinghe, A.[Ashu],
Osano, M.[Minetada],
A Multi-agent Based Interactive System Towards Child's Emotion
Performances Quantified Through Affective Body Gestures,
ICPR06(I: 1236-1239).
IEEE DOI
0609
BibRef
de Silva, P.R.S.,
Osano, M.,
Marasinghe, A.,
Madurapperuma, A.P.,
Towards Recognizing Emotion with Affective Dimensions Through Body
Gestures,
FGR06(269-274).
IEEE DOI
0604
BibRef
Breazeal, C.,
Function meets style: insights from emotion theory applied to HRI,
SMC-C(34), No. 2, May 2004, pp. 187-194.
IEEE Abstract.
0407
BibRef
Anderson, K.[Keith],
McOwan, P.W.[Peter W.],
Real-Time Automated System for the Recognition of Human Facial
Expressions,
SMC-B(36), No. 1, February 2006, pp. 96-105.
IEEE DOI
0602
BibRef
Earlier:
Real-Time Emotion Recognition Using Biologically Inspired Models,
AVBPA03(119-127).
Springer DOI
0310
See also Robust real-time face tracker for cluttered environments.
BibRef
Shan, C.F.[Cai-Feng],
Gong, S.G.[Shao-Gang],
McOwan, P.W.[Peter W.],
Beyond Facial Expressions: Learning Human Emotion from Body Gestures,
BMVC07(xx-yy).
PDF File.
0709
BibRef
And:
Capturing Correlations Among Facial Parts for Facial Expression
Analysis,
BMVC07(xx-yy).
PDF File.
0709
BibRef
Earlier:
Dynamic Facial Expression Recognition Using A Bayesian Temporal
Manifold Model,
BMVC06(I:297).
PDF File.
0609
BibRef
And:
A Comprehensive Empirical Study on Linear Subspace Methods for Facial
Expression Analysis,
V4HCI06(153).
IEEE DOI
0609
BibRef
Earlier:
Appearance Manifold of Facial Expression,
CVHCI05(221).
Springer DOI
0601
BibRef
And:
Conditional Mutual Infomation Based Boosting for Facial Expression
Recognition,
BMVC05(xx-yy).
HTML Version.
0509
BibRef
And:
Recognizing facial expressions at low resolution,
AVSBS05(330-335).
IEEE DOI
0602
BibRef
Hupont, I.[Isabelle],
Cerezo, E.[Eva],
Baldassarri, S.[Sandra],
Facial Emotional Classifier For Natural Interaction,
ELCVIA(7), No. 4, 2008, pp. 1-12.
DOI Link
0806
BibRef
Chakraborty, A.,
Konar, A.,
Chakraborty, U.K.,
Chatterjee, A.,
Emotion Recognition From Facial Expressions and Its Control Using Fuzzy
Logic,
SMC-A(39), No. 4, July 2009, pp. 726-743.
IEEE DOI
0906
BibRef
Metallinou, A.[Angeliki],
Katsamanis, A.[Athanasios],
Narayanan, S.[Shrikanth],
Tracking continuous emotional trends of participants during affective
dyadic interactions using body language and speech information,
IVC(31), No. 2, February 2013, pp. 137-152.
Elsevier DOI
1303
Continuous emotion tracking; Dimensional emotional descriptions;
Gaussian Mixture Model mapping; Body language; Improvised dyadic
interactions
BibRef
Metallinou, A.[Angeliki],
Narayanan, S.[Shrikanth],
Annotation and processing of continuous emotional attributes:
Challenges and opportunities,
FG13(1-8)
IEEE DOI
1309
cognition
BibRef
Zhao, X.[Xi],
Dellandrea, E.[Emmanuel],
Chen, L.M.[Li-Ming],
Kakadiaris, I.A.,
Accurate Landmarking of Three-Dimensional Facial Data in the Presence
of Facial Expressions and Occlusions Using a Three-Dimensional
Statistical Facial Feature Model,
SMC-B(41), No. 5, October 2011, pp. 1417-1428.
IEEE DOI
1110
BibRef
Earlier: A1, A2, A3, Only:
A 3D Statistical Facial Feature Model and Its Application on Locating
Facial Landmarks,
ACIVS09(686-697).
Springer DOI
0909
See also unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models, A.
BibRef
Zhao, X.[Xi],
Szeptycki, P.[Przemyslaw],
Dellandrea, E.[Emmanuel],
Chen, L.M.[Li-Ming],
Precise 2.5D facial landmarking via an analysis by synthesis approach,
WACV09(1-7).
IEEE DOI
0912
BibRef
Li, H.B.[Hui-Bin],
Ding, H.X.[Hua-Xiong],
Huang, D.[Di],
Wang, Y.H.[Yun-Hong],
Zhao, X.[Xi],
Morvan, J.M.[Jean-Marie],
Chen, L.M.[Li-Ming],
An efficient multimodal 2D + 3D feature-based approach to automatic
facial expression recognition,
CVIU(140), No. 1, 2015, pp. 83-92.
Elsevier DOI
1509
Facial expression recognition
BibRef
Zhen, Q.K.[Qing-Kai],
Huang, D.[Di],
Wang, Y.H.[Yun-Hong],
Chen, L.M.[Li-Ming],
Muscular Movement Model-Based Automatic 3D/4D Facial Expression
Recognition,
MultMed(18), No. 7, July 2016, pp. 1438-1450.
IEEE DOI
1608
BibRef
Earlier:
Muscular Movement Model Based Automatic 3D Facial Expression
Recognition,
MMMod15(I: 522-533).
Springer DOI
1501
emotion recognition
BibRef
Zhao, X.[Xi],
Huang, D.[Di],
Dellandrea, E.[Emmanuel],
Chen, L.M.[Li-Ming],
Automatic 3D Facial Expression Recognition Based on a Bayesian Belief
Net and a Statistical Facial Feature Model,
ICPR10(3724-3727).
IEEE DOI
1008
BibRef
Fu, H.Z.[Huan-Zhang],
Xiao, Z.Z.[Zhong-Zhe],
Dellandréa, E.[Emmanuel],
Dou, W.B.[Wei-Bei],
Chen, L.M.[Li-Ming],
Image Categorization Using ESFS:
A New Embedded Feature Selection Method Based on SFS,
ACIVS09(288-299).
Springer DOI
0909
Feature selection.
BibRef
Lin, J.C.[Jen-Chun],
Wu, C.H.[Chung-Hsien],
Wei, W.L.[Wen-Li],
Error Weighted Semi-Coupled Hidden Markov Model for Audio-Visual
Emotion Recognition,
MultMed(14), No. 1, January 2012, pp. 142-156.
IEEE DOI
1201
BibRef
Wu, C.H.[Chung-Hsien],
Wei, W.L.[Wen-Li],
Lin, J.C.[Jen-Chun],
Lee, W.Y.[Wei-Yu],
Speaking Effect Removal on Emotion Recognition From Facial
Expressions Based on Eigenface Conversion,
MultMed(15), No. 8, December 2013, pp. 1732-1744.
IEEE DOI
1402
Gaussian processes
BibRef
Wu, C.H.[Chung-Hsien],
Lin, J.C.[Jen-Chun],
Wei, W.L.[Wen-Li],
Two-Level Hierarchical Alignment for Semi-Coupled HMM-Based
Audiovisual Emotion Recognition With Temporal Course,
MultMed(15), No. 8, December 2013, pp. 1880-1895.
IEEE DOI
1402
audio signal processing
BibRef
Wei, W.L.[Wen-Li],
Lin, J.C.[Jen-Chun],
Wu, C.H.[Chung-Hsien],
Interaction Style Recognition Based on Multi-Layer Multi-View Profile
Representation,
AffCom(8), No. 3, July 2017, pp. 355-368.
IEEE DOI
1709
Emotion recognition, Feature extraction, Pragmatics, Speech,
Speech recognition, Support vector machines, Text recognition,
Interaction style, dialogue system, dialogue topic, emotion,
probabilistic, fusion
BibRef
Wang, Y.J.[Yong-Jin],
Guan, L.[Ling],
Venetsanopoulos, A.N.,
Kernel Cross-Modal Factor Analysis for Information Fusion With
Application to Bimodal Emotion Recognition,
MultMed(14), No. 3, 2012, pp. 597-607.
IEEE DOI
1202
BibRef
Wang, Y.J.[Yong-Jin],
Zhang, R.[Rui],
Guan, L.[Ling],
Venetsanopoulos, A.N.,
Kernel Fusion of Audio and Visual Information for Emotion Recognition,
ICIAR11(II: 140-150).
Springer DOI
1106
BibRef
Ptaszynski, M.,
Maciejewski, J.,
Dybala, P.,
Rzepka, R.,
Araki, K.,
CAO: A Fully Automatic Emoticon Analysis System Based on Theory of
Kinesics,
AffCom(1), No. 1, January-June 2010, pp. 46-59.
IEEE DOI
1202
BibRef
Glowinski, D.[Donald],
Dael, N.[Nele],
Camurri, A.[Antonio],
Volpe, G.[Gualtiero],
Mortillaro, M.,
Scherer, K.[Klaus],
Toward a Minimal Representation of Affective Gestures,
AffCom(2), No. 2, 2011, pp. 106-118.
IEEE DOI
1202
BibRef
Glowinski, D.[Donald],
Camurri, A.[Antonio],
Volpe, G.[Gualtiero],
Dael, N.[Nele],
Scherer, K.[Klaus],
Technique for automatic emotion recognition by body gesture analysis,
CVPR4HB08(1-6).
IEEE DOI
0806
BibRef
Yang, S.F.[Song-Fan],
Bhanu, B.[Bir],
Understanding Discrete Facial Expressions in Video Using an Emotion
Avatar Image,
SMC-B(42), No. 4, August 2012, pp. 980-992.
IEEE DOI
1208
BibRef
Earlier:
Facial expression recognition using emotion avatar image,
FG11(866-871).
IEEE DOI
1103
BibRef
Cruz, A.[Albert],
Bhanu, B.[Bir],
A biologically inspired approach for fusing facial expression and
appearance for emotion recognition,
ICIP12(2625-2628).
IEEE DOI
1302
BibRef
Tariq, U.[Usman],
Lin, K.H.[Kai-Hsiang],
Li, Z.[Zhen],
Zhou, X.[Xi],
Wang, Z.W.[Zhao-Wen],
Le, V.[Vuong],
Huang, T.S.[Thomas S.],
Lv, X.T.[Xu-Tao],
Han, T.X.[Tony X.],
Recognizing Emotions From an Ensemble of Features,
SMC-B(42), No. 4, August 2012, pp. 1017-1026.
IEEE DOI
1208
BibRef
Earlier:
Emotion recognition from an ensemble of features,
FG11(872-877).
IEEE DOI
1103
BibRef
Tie, Y.[Yun],
Guan, L.[Ling],
Human emotional state recognition using real 3D visual features from
Gabor library,
PR(46), No. 2, February 2013, pp. 529-538.
Elsevier DOI
1210
3D Gabor library; Improved kernel canonical correlation analysis
(IKCCA); Principal component analysis (PCA)
BibRef
Tie, Y.,
Guan, L.,
A Deformable 3-D Facial Expression Model for Dynamic Human Emotional
State Recognition,
CirSysVideo(23), No. 1, January 2013, pp. 142-157.
IEEE DOI
1302
BibRef
Petridis, S.[Stavros],
Martinez, B.[Brais],
Pantic, M.[Maja],
The MAHNOB Laughter database,
IVC(31), No. 2, February 2013, pp. 186-202.
Elsevier DOI
1303
Dataset, Laughter. Laughter; Audiovisual; Thermal; Database; Audiovisual automatic
laughter-speech discrimination
BibRef
Wöllmer, M.[Martin],
Kaiser, M.[Moritz],
Eyben, F.[Florian],
Schuller, B.[Björn],
Rigoll, G.[Gerhard],
LSTM-Modeling of continuous emotions in an audiovisual affect
recognition framework,
IVC(31), No. 2, February 2013, pp. 153-163.
Elsevier DOI
1303
Emotion recognition; Long Short-Term Memory; Facial movement features;
Context modeling
BibRef
Halder, A.,
Konar, A.,
Mandal, R.,
Chakraborty, A.,
Bhowmik, P.,
Pal, N.R.,
Nagar, A.K.,
General and Interval Type-2 Fuzzy Face-Space Approach to Emotion
Recognition,
SMCS(43), No. 3, May 2013, pp. 587-605.
IEEE DOI
1305
BibRef
Walter, S.,
Kim, J.,
Hrabal, D.,
Crawcour, S.C.,
Kessler, H.,
Traue, H.C.,
Transsituational Individual-Specific Biopsychological Classification
of Emotions,
SMCS(43), No. 4, 2013, pp. 988-995.
IEEE DOI
1307
Emotion recognition; Heart rate
BibRef
Rapp, V.[Vincent],
Bailly, K.[Kevin],
Senechal, T.[Thibaud],
Prevost, L.[Lionel],
Multi-Kernel Appearance Model,
IVC(31), No. 8, August 2013, pp. 542-554.
Elsevier DOI
1306
Facial feature localization; Multiple-kernel learning;
Two-stage classifiers; SIFT descriptor; Deformable model alignment;
Gauss-Newton optimization
BibRef
Senechal, T.[Thibaud],
Rapp, V.[Vincent],
Prevost, L.[Lionel],
Facial Feature Tracking for Emotional Dynamic Analysis,
ACIVS11(495-506).
Springer DOI
1108
See also Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units.
BibRef
Senechal, T.[Thibaud],
Bailly, K.[Kevin],
Prevost, L.[Lionel],
Automatic Facial Action Detection Using Histogram Variation Between
Emotional States,
ICPR10(3752-3755).
IEEE DOI
1008
BibRef
Seol, Y.S.[Yong-Soo],
Kim, H.W.[Han-Woo],
Personalized Emotion Recognition Considering Situational Information
and Time Variance of Emotion,
IEICE(E96-D), No. 11, November 2013, pp. 2409-2416.
WWW Link.
1311
BibRef
Lu, K.[Kun],
Zhang, X.[Xin],
Multimodal Affect Recognition Using Boltzmann Zippers,
IEICE(E96-D), No. 11, November 2013, pp. 2496-2499.
WWW Link.
1311
BibRef
Rashid, M.[Munaf],
Abu-Bakar, S.A.R.,
Mokji, M.[Musa],
Human emotion recognition from videos using spatio-temporal and audio
features,
VC(29), No. 12, December 2013, pp. 1269-1275.
WWW Link.
1312
BibRef
Majumder, A.[Anima],
Behera, L.[Laxmidhar],
Subramanian, V.K.[Venkatesh K.],
Emotion recognition from geometric facial features using
self-organizing map,
PR(47), No. 3, 2014, pp. 1282-1293.
Elsevier DOI
1312
Facial expression analysis
BibRef
Yan, J.J.[Jing-Jie],
Zheng, W.M.[Wen-Ming],
Xin, M.H.[Min-Hai],
Yan, J.W.[Jing-Wei],
Integrating Facial Expression and Body Gesture in Videos for Emotion
Recognition,
IEICE(E97-D), No. 3, March 2014, pp. 610-613.
WWW Link.
1403
BibRef
Karg, M.,
Samadani, A.A.,
Gorbet, R.,
Kuhnlenz, K.,
Hoey, J.,
Kulic, D.,
Body Movements for Affective Expression:
A Survey of Automatic Recognition and Generation,
AffCom(4), No. 4, October 2013, pp. 341-359.
IEEE DOI
1406
emotion recognition
BibRef
Samadani, A.A.,
Gorbet, R.,
Kulic, D.,
Affective Movement Recognition Based on Generative and Discriminative
Stochastic Dynamic Models,
HMS(44), No. 4, August 2014, pp. 454-467.
IEEE DOI
1407
Computational modeling
BibRef
Soleymani, M.,
Larson, M.,
Pun, T.,
Hanjalic, A.,
Corpus Development for Affective Video Indexing,
MultMed(16), No. 4, June 2014, pp. 1075-1089.
IEEE DOI
1407
Benchmark testing
BibRef
Chang, J.K.[Jae-Khun],
Ryoo, S.T.[Seung-Taek],
Real-time emotion retrieval scheme in video with image sequence
features,
RealTimeIP(9), No. 3, September 2014, pp. 541-547.
WWW Link.
1408
BibRef
Wang, S.F.[Shang-Fei],
Liu, Z.L.[Zhi-Lei],
Wang, J.[Jun],
Wang, Z.Y.[Zhao-Yu],
Li, Y.Q.[Yong-Qiang],
Chen, X.P.[Xiao-Ping],
Ji, Q.A.[Qi-Ang],
Exploiting multi-expression dependences for implicit multi-emotion
video tagging,
IVC(32), No. 10, 2014, pp. 682-691.
Elsevier DOI
1410
Implicit video tagging
BibRef
Wang, Z.Y.[Zhao-Yu],
Wang, S.F.[Shang-Fei],
He, M.H.[Meng-Hua],
Liu, Z.L.[Zhi-Lei],
Ji, Q.A.[Qi-Ang],
Emotional tagging of videos by exploring multiple emotions'
coexistence,
FG13(1-6)
IEEE DOI
1309
belief networks
BibRef
Liu, Z.L.[Zhi-Lei],
Wang, S.F.[Shang-Fei],
Wang, Z.Y.[Zhao-Yu],
Ji, Q.A.[Qi-Ang],
Implicit video multi-emotion tagging by exploiting multi-expression
relations,
FG13(1-6)
IEEE DOI
1309
Bayes methods
BibRef
Dahmane, M.[Mohamed],
Meunier, J.[Jean],
Prototype-Based Modeling for Facial Expression Analysis,
MultMed(16), No. 6, October 2014, pp. 1574-1584.
IEEE DOI
1410
BibRef
Earlier:
Individual Feature-Appearance for Facial Action Recognition,
ICIAR11(II: 233-242).
Springer DOI
1106
emotion recognition
BibRef
Dahmane, M.[Mohamed],
Meunier, J.[Jean],
Emotion recognition using dynamic grid-based HoG features,
FG11(884-888).
IEEE DOI
1103
BibRef
Agrawal, D.D.[Dev Drume],
Dubey, S.R.[Shiv Ram],
Jalal, A.S.[Anand Singh],
Emotion recognition from facial expressions based on multi-level
classification,
IJCVR(4), No. 4, 2014, pp. 365-389.
DOI Link
1411
BibRef
Novak, D.,
Nagle, A.,
Riener, R.,
Linking Recognition Accuracy and User Experience in an Affective
Feedback Loop,
AffCom(5), No. 2, April 2014, pp. 168-172.
IEEE DOI
1411
behavioural sciences computing
BibRef
Martinez, H.P.,
Yannakakis, G.N.,
Hallam, J.,
Don't Classify Ratings of Affect; Rank Them!,
AffCom(5), No. 3, July 2014, pp. 314-326.
IEEE DOI
1412
cognition. Annotation of affect.
BibRef
Cruz, A.C.,
Bhanu, B.,
Thakoor, N.S.,
Vision and Attention Theory Based Sampling for Continuous Facial
Emotion Recognition,
AffCom(5), No. 4, October 2014, pp. 418-431.
IEEE DOI
1503
emotion recognition
BibRef
Cao, H.[Houwei],
Cooper, D.G.,
Keutmann, M.K.,
Gur, R.C.,
Nenkova, A.,
Verma, R.,
CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,
AffCom(5), No. 4, October 2014, pp. 377-390.
IEEE DOI
1503
emotion recognition
BibRef
Sariyanidi, E.[Evangelos],
Gunes, H.[Hatice],
Cavallaro, A.[Andrea],
Automatic Analysis of Facial Affect:
A Survey of Registration, Representation, and Recognition,
PAMI(37), No. 6, June 2015, pp. 1113-1133.
IEEE DOI
1506
Survey, Facial Affect.
BibRef
Earlier:
Probabilistic Subpixel Temporal Registration for Facial Expression
Analysis,
ACCV14(IV: 320-335).
Springer DOI
1504
Emotion recognition
BibRef
Sariyanidi, E.[Evangelos],
Gunes, H.[Hatice],
Cavallaro, A.[Andrea],
Learning Bases of Activity for Facial Expression Recognition,
IP(26), No. 4, April 2017, pp. 1965-1978.
IEEE DOI
1704
Computational modeling
BibRef
Sariyanidi, E.[Evangelos],
Gunes, H.[Hatice],
Cavallaro, A.[Andrea],
Robust Registration of Dynamic Facial Sequences,
IP(26), No. 4, April 2017, pp. 1708-1722.
IEEE DOI
1704
face recognition
BibRef
Chiranjeevi, P.,
Gopalakrishnan, V.,
Moogi, P.,
Neutral Face Classification Using Personalized Appearance Models for
Fast and Robust Emotion Detection,
IP(24), No. 9, September 2015, pp. 2701-2711.
IEEE DOI
1506
computer vision
BibRef
Rao, K.S.[K. Sreenivasa],
Koolagudi, S.G.[Shashidhar G.],
Recognition of emotions from video using acoustic and facial features,
SIViP(9), No. 5, July 2015, pp. 1029-1045.
WWW Link.
1506
BibRef
Teijeiro-Mosquera, L.,
Biel, J.I.,
Alba-Castro, J.L.,
Gatica-Perez, D.,
What Your Face Vlogs About: Expressions of Emotion and Big-Five
Traits Impressions in YouTube,
AffCom(6), No. 2, April 2015, pp. 193-205.
IEEE DOI
1507
emotion recognition
BibRef
Savran, A.,
Gur, R.,
Verma, R.,
Automatic Detection of Emotion Valence on Faces Using Consumer Depth
Cameras,
CDC4CV13(75-82)
IEEE DOI
1403
cameras
BibRef
Abadi, M.K.,
Subramanian, R.,
Kia, S.M.,
Avesani, P.,
Patras, I.,
Sebe, N.,
DECAF: MEG-Based Multimodal Database for Decoding Affective
Physiological Responses,
AffCom(6), No. 3, July 2015, pp. 209-222.
IEEE DOI
1509
Dataset, Affective Responses. Databases
BibRef
Zhang, L.[Li],
Mistry, K.[Kamlesh],
Jiang, M.[Ming],
Neoh, S.C.[Siew Chin],
Hossain, M.A.[Mohammed Alamgir],
Adaptive facial point detection and emotion recognition for a
humanoid robot,
CVIU(140), No. 1, 2015, pp. 93-114.
Elsevier DOI
1509
Facial point detection
BibRef
Sanchez-Mendoza, D.[David],
Masip, D.[David],
Lapedriza, A.[Agata],
Emotion recognition from mid-level features,
PRL(67, Part 1), No. 1, 2015, pp. 66-74.
Elsevier DOI
1511
Facial expression
BibRef
Ringeval, F.[Fabien],
Eyben, F.[Florian],
Kroupi, E.[Eleni],
Yuce, A.[Anil],
Thiran, J.P.[Jean-Philippe],
Ebrahimi, T.[Touradj],
Lalanne, D.[Denis],
Schuller, B.[Björn],
Prediction of asynchronous dimensional emotion ratings from
audiovisual and physiological data,
PRL(66), No. 1, 2015, pp. 22-30.
Elsevier DOI
1511
Context-learning long short-term memory recurrent neural networks
BibRef
Esposito, A.[Anna],
Esposito, A.M.[Antonietta M.],
Vogel, C.[Carl],
Needs and challenges in human computer interaction for processing
social emotional information,
PRL(66), No. 1, 2015, pp. 41-51.
Elsevier DOI
1511
Emotional expressions
BibRef
Provost, E.M.,
Shangguan, Y.,
Busso, C.,
UMEME: University of Michigan Emotional McGurk Effect Data Set,
AffCom(6), No. 4, October 2015, pp. 395-409.
IEEE DOI
1512
Dataset, Emotion Recognition. Emotion recognition
BibRef
Busso, C.,
Parthasarathy, S.,
Burmania, A.,
Abdel Wahab, M.,
Sadoughi, N.,
Provost, E.M.,
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion
Perception,
AffCom(8), No. 1, January 2017, pp. 67-80.
IEEE DOI
1703
Affective computing
BibRef
Wang, S.,
Ji, Q.,
Video Affective Content Analysis:
A Survey of State-of-the-Art Methods,
AffCom(6), No. 4, October 2015, pp. 410-430.
IEEE DOI
1512
Survey, Affect Analsis. Content analysis
BibRef
Park, B.J.[Byoung-Jun],
Jang, E.H.[Eun-Hye],
Kim, K.H.[Kyong-Ho],
Kim, S.H.[Sang-Hyeob],
Analysis of Physiological Responses and Use of Fuzzy Information
Granulation-Based Neural Network for Recognition of Three Emotions,
ETRI(37), No. 6, December 2015, pp. 1231-1241.
DOI Link
1601
BibRef
Yoon, H.[Hyunjin],
Park, S.W.[Sang-Wook],
Lee, Y.[Yongkwi],
Han, M.[Mikyong],
Jang, J.H.[Jong-Hyun],
Improved Two-Phase Framework for Facial Emotion Recognition,
ETRI(37), No. 6, December 2015, pp. 1199-1210.
DOI Link
1601
BibRef
Truong, A.[Arthur],
Boujut, H.[Hugo],
Zaharia, T.[Titus],
Laban descriptors for gesture recognition and emotional analysis,
VC(32), No. 1, January 2016, pp. 83-98.
WWW Link.
1602
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
Meng, H.,
Bianchi-Berthouze, N.,
Deng, Y.,
Cheng, J.,
Cosmas, J.P.,
Time-Delay Neural Network for Continuous Emotional Dimension
Prediction From Facial Expression Sequences,
Cyber(46), No. 4, April 2016, pp. 916-929.
IEEE DOI
1604
Delays
BibRef
Georgakis, C.,
Panagakis, Y.[Yannis],
Pantic, M.[Maja],
Discriminant Incoherent Component Analysis,
IP(25), No. 5, May 2016, pp. 2021-2034.
IEEE DOI
1604
emotion recognition
BibRef
Huang, X.H.[Xiao-Hua],
Kortelainen, J.[Jukka],
Zhao, G.Y.[Guo-Ying],
Li, X.[Xiaobai],
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
Gao, L.[Lei],
Qi, L.[Lin],
Guan, L.[Ling],
Online Behavioral Analysis with Application to Emotion State
Identification,
IEEE_Int_Sys(31), No. 5, September 2016, pp. 32-39.
IEEE DOI
1610
BibRef
Earlier:
Sparsity preserving multiple canonical correlation analysis with
visual emotion recognition to multi-feature fusion,
ICIP15(2710-2714)
IEEE DOI
1512
emotion recognition.
Analytical models
BibRef
Han, J.H.[Ji-Hyeong],
Choi, S.H.[Seung-Hwan],
Kim, J.H.[Jong-Hwan],
Interactive Human Intention Reading by Learning Hierarchical Behavior
Knowledge Networks for Human-Robot Interaction,
ETRI(38), No. 6, December 2016, pp. 1229-1239.
DOI Link
1612
BibRef
Zadeh, A.,
Zellers, R.,
Pincus, E.,
Morency, L.P.[Louis-Philippe],
Multimodal Sentiment Intensity Analysis in Videos:
Facial Gestures and Verbal Messages,
IEEE_Int_Sys(31), No. 6, November 2016, pp. 82-88.
IEEE DOI
1612
Feature extraction
BibRef
Gunes, H.[Hatice],
Hung, H.[Hayley],
Is automatic facial expression recognition of emotions coming to a
dead end? The rise of the new kids on the block,
IVC(55, Part 1), No. 1, 2016, pp. 6-8.
Elsevier DOI
1612
Opinion paper
BibRef
Zhao, S.,
Yao, H.,
Gao, Y.,
Ji, R.,
Ding, G.,
Continuous Probability Distribution Prediction of Image Emotions via
Multitask Shared Sparse Regression,
MultMed(19), No. 3, March 2017, pp. 632-645.
IEEE DOI
1702
Distance measurement
BibRef
Xia, R.,
Liu, Y.,
A Multi-Task Learning Framework for Emotion Recognition Using 2D
Continuous Space,
AffCom(8), No. 1, January 2017, pp. 3-14.
IEEE DOI
1703
Acoustics
BibRef
Dingli, A.[Alexiei],
Giordimaina, A.[Andreas],
Webcam-based detection of emotional states,
VC(33), No. 4, April 2017, pp. 459-469.
WWW Link.
1704
BibRef
Kruijff, E.[Ernst],
Marquardt, A.[Alexander],
Trepkowski, C.[Christina],
Schild, J.[Jonas],
Hinkenjann, A.[André],
Designed emotions: challenges and potential methodologies for improving
multisensory cues to enhance user engagement in immersive systems,
VC(33), No. 4, April 2017, pp. 471-488.
Springer DOI
1704
BibRef
Jiang, R.[Richard],
Ho, A.T.S.[Anthony T.S.],
Cheheb, I.[Ismahane],
Al-Maadeed, N.[Noor],
Al-Maadeed, S.[Somaya],
Bouridane, A.[Ahmed],
Emotion recognition from scrambled facial images via many graph
embedding,
PR(67), No. 1, 2017, pp. 245-251.
Elsevier DOI
1704
Facial expression
BibRef
Mistry, K.,
Zhang, L.,
Neoh, S.C.,
Lim, C.P.,
Fielding, B.,
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent
Facial Emotion Recognition,
Cyber(47), No. 6, June 2017, pp. 1496-1509.
IEEE DOI
1706
Convergence, Emotion recognition, Face recognition,
Feature extraction, Genetic algorithms, Optimization,
Search problems, Ensemble classifier,
facial expression recognition, feature selection, particle swarm
optimization, (PSO)
BibRef
Wu, B.,
Jia, J.,
Yang, Y.,
Zhao, P.,
Tang, J.,
Tian, Q.,
Inferring Emotional Tags From Social Images With User Demographics,
MultMed(19), No. 7, July 2017, pp. 1670-1684.
IEEE DOI
1706
Computer science, Correlation, Feature extraction,
Learning systems, Social network services,
Support vector machines, Visualization, Emotion, image, user, demographics
BibRef
Zhalehpour, S.,
Onder, O.,
Akhtar, Z.,
Erdem, C.E.,
BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and
Mental States,
AffCom(8), No. 3, July 2017, pp. 300-313.
IEEE DOI
1709
Affective computing, Cameras, Databases, Emotion recognition, Face,
Face recognition,
Facial expression recognition, affective computing,
audio-visual affective database,
dynamic facial expression database,
emotion recognition from speech, emotional corpora,
mental state recognition, spontaneous, expressions
BibRef
Kaya, H.[Heysem],
Gürpinar, F.[Furkan],
Salah, A.A.[Albert Ali],
Video-based emotion recognition in the wild using deep transfer
learning and score fusion,
IVC(65), No. 1, 2017, pp. 66-75.
Elsevier DOI
1709
EmotiW
BibRef
Rathee, N.[Neeru],
Ganotra, D.[Dinesh],
Discriminative analysis of lip features for emotion recognition,
IJCVR(7), No. 6, 2017, pp. 669-691.
DOI Link
1711
BibRef
Wei, Q.L.[Qing-Lan],
Sun, B.[Bo],
He, J.[Jun],
Yu, L.J.[Le-Jun],
BNU-LSVED 2.0: Spontaneous multimodal student affect database with
multi-dimensional labels,
SP:IC(59), No. 1, 2017, pp. 168-181.
Elsevier DOI
1711
Multimodal
BibRef
Turker, B.B.,
Yemez, Y.,
Sezgin, T.M.,
Erzin, E.,
Audio-Facial Laughter Detection in Naturalistic Dyadic Conversations,
AffCom(8), No. 4, October 2017, pp. 534-545.
IEEE DOI
1712
Bagging, Databases, Feature extraction, Hidden Markov models,
Magnetic heads, Three-dimensional displays,
naturalistic dyadic conversations
BibRef
Ferrari, C.,
Lisanti, G.,
Berretti, S.[Stefano],
del Bimbo, A.[Alberto],
A Dictionary Learning-Based 3D Morphable Shape Model,
MultMed(19), No. 12, December 2017, pp. 2666-2679.
IEEE DOI
1712
Face, Face recognition, Shape, Solid modeling,
Three-dimensional displays, Training, Two dimensional displays,
emotion recognition
BibRef
Daoudi, M.[Mohamed],
Berretti, S.[Stefano],
Pala, P.[Pietro],
Delevoye, Y.[Yvonne],
del Bimbo, A.[Alberto],
Emotion Recognition by Body Movement Representation on the Manifold of
Symmetric Positive Definite Matrices,
CIAP17(I:550-560).
Springer DOI
1711
BibRef
Li, X.,
Rao, Y.,
Xie, H.,
Lau, R.Y.K.,
Yin, J.,
Wang, F.L.,
Bootstrapping Social Emotion Classification with Semantically Rich
Hybrid Neural Networks,
AffCom(8), No. 4, October 2017, pp. 428-442.
IEEE DOI
1712
Computational modeling, Education, Encoding, Feature extraction,
Neural networks, Semantics, Unsupervised learning,
transfer learning
BibRef
Hong, K.[Kan],
Liu, G.D.[Guo-Dong],
Chen, W.[Wentao],
Hong, S.[Sheng],
Classification of the emotional stress and physical stress using
signal magnification and canonical correlation analysis,
PR(77), 2018, pp. 140-149.
Elsevier DOI
1802
Emotional stress, Physical stress, Emotion classification
BibRef
Agarwal, S.[Swapna],
Santra, B.[Bikash],
Mukherjee, D.P.[Dipti Prasad],
Anubhav: recognizing emotions through facial expression,
VC(34), No. 2, February 2018, pp. 177-191.
WWW Link.
1802
BibRef
Seng, K.P.,
Ang, L.M.,
Ooi, C.S.,
A Combined Rule-Based Machine Learning Audio-Visual Emotion
Recognition Approach,
AffCom(9), No. 1, January 2018, pp. 3-13.
IEEE DOI
1804
audio signal processing, cepstral analysis, emotion recognition,
feature extraction, learning (artificial intelligence),
rule-based
BibRef
Fourati, N.,
Pelachaud, C.,
Perception of Emotions and Body Movement in the Emilya Database,
AffCom(9), No. 1, January 2018, pp. 90-101.
IEEE DOI
1804
BibRef
Earlier:
Multi-level classification of emotional body expression,
FG15(1-8)
IEEE DOI
1508
emotion recognition, visual databases, EMotional body expression,
Emilya database, body movement, emotion perception,
emotion perception
BibRef
Benitez-Garcia, G.[Gibran],
Nakamura, T.[Tomoaki],
Kaneko, M.[Masahide],
Multicultural Facial Expression Recognition Based on Differences of
Western-Caucasian and East-Asian Facial Expressions of Emotions,
IEICE(E101-D), No. 5, May 2018, pp. 1317-1324.
WWW Link.
1805
BibRef
Kalsum, T.[Tehmina],
Anwar, S.M.[Syed Muhammad],
Majid, M.[Muhammad],
Khan, B.[Bilal],
Ali, S.M.[Sahibzada Muhammad],
Emotion recognition from facial expressions using hybrid feature
descriptors,
IET-IPR(12), No. 6, June 2018, pp. 1004-1012.
DOI Link
1805
BibRef
Liu, W.F.[Wei-Feng],
Zhang, L.[Lianbo],
Tao, D.P.[Da-Peng],
Cheng, J.[Jun],
Reinforcement online learning for emotion prediction by using
physiological signals,
PRL(107), 2018, pp. 123-130.
Elsevier DOI
1805
Emotion prediction, Reinforcement learning, Online learning,
Biometric surveillance
BibRef
Xu, B.,
Fu, Y.,
Jiang, Y.G.,
Li, B.,
Sigal, L.,
Heterogeneous Knowledge Transfer in Video Emotion Recognition,
Attribution and Summarization,
AffCom(9), No. 2, April 2018, pp. 255-270.
IEEE DOI
1806
Emotion recognition, Feature extraction, Image recognition,
Knowledge transfer, Semantics, Training, Visualization,
zero-shot learning
BibRef
Seng, K.P.,
Ang, L.M.,
Video Analytics for Customer Emotion and Satisfaction at Contact
Centers,
HMS(48), No. 3, June 2018, pp. 266-278.
IEEE DOI
1805
Companies, Customer satisfaction, Emotion recognition, Speech,
Speech recognition, Visualization, Customer experience,
video analytics
BibRef
Yan, J.J.[Jing-Jie],
Wang, B.[Bei],
Liang, R.[Ruiyu],
A Novel Bimodal Emotion Database from Physiological Signals and Facial
Expression,
IEICE(E101-D), No. 7, July 2018, pp. 1976-1979.
WWW Link.
1807
Dataset, Emotions.
BibRef
Sreedharan, N.P.N.[Ninu Preetha Nirmala],
Ganesan, B.[Brammya],
Raveendran, R.[Ramya],
Sarala, P.[Praveena],
Dennis, B.[Binu],
Boothalingam, R.R.[R. Rajakumar],
Grey Wolf optimisation-based feature selection and classification for
facial emotion recognition,
IET-Bio(7), No. 5, September 2018, pp. 490-499.
DOI Link
1809
BibRef
Pons, G.,
Masip, D.,
Supervised Committee of Convolutional Neural Networks in Automated
Facial Expression Analysis,
AffCom(9), No. 3, July 2018, pp. 343-350.
IEEE DOI
1809
Emotion recognition, Training, Databases, Computer architecture,
Computer vision, Facial emotion recognition,
convolutional neural networks
BibRef
Schuller, D.,
Schuller, B.W.,
The Age of Artificial Emotional Intelligence,
Computer(51), No. 9, September 2018, pp. 38-46.
IEEE DOI
1810
Artificial intelligence, Emotion recognition, Machine learning,
Learning systems, Artificial Emotional Intelligence,
future of AI
BibRef
Zhang, H.,
Xu, M.,
Recognition of Emotions in User-Generated Videos With Kernelized
Features,
MultMed(20), No. 10, October 2018, pp. 2824-2835.
IEEE DOI
1810
discrete Fourier transforms, emotion recognition,
feature extraction, image classification, image representation,
kernel method
BibRef
Balouchian, P.,
Foroosh, H.[Hassan],
Context-Sensitive Single-Modality Image Emotion Analysis: A Unified
Architecture from Dataset Construction to CNN Classification,
ICIP18(1932-1936)
IEEE DOI
1809
Emotion recognition, Training, Visualization,
Context modeling, Single-Modality Classification
BibRef
Yagis, E.[Ekin],
Unel, M.[Mustafa],
Facial Expression Based Emotion Recognition Using Neural Networks,
ICIAR18(210-217).
Springer DOI
1807
BibRef
Abuhammad, H.[Huthaifa],
Everson, R.[Richard],
Emotional Faces in the Wild: Feature Descriptors for Emotion
Classification,
ICIAR18(164-174).
Springer DOI
1807
BibRef
Torres-Valencia, C.,
Alvarez-Meza, A.,
Orozco-Gutierrez, A.,
Emotion Assessment Using Adaptive Learning-Based Relevance Analysis,
ICIAR18(193-200).
Springer DOI
1807
BibRef
Gaus, Y.F.A.,
Meng, H.,
Linear and Non-Linear Multimodal Fusion for Continuous Affect
Estimation In-the-Wild,
FG18(492-498)
IEEE DOI
1806
Correlation, Emotion recognition, Estimation, Feature extraction,
Linear regression, Mathematical model, Predictive models, affect,
non-linear
BibRef
Sokolov, D.,
Patkin, M.,
Real-Time Emotion Recognition on Mobile Devices,
FG18(787-787)
IEEE DOI
1806
Emotion recognition, Face recognition, Feature extraction,
Machine learning, Mobile handsets, Neural networks,
mobile devices
BibRef
Shamsi, S.N.,
Singh, B.P.,
Wadhwa, M.,
Group Affect Prediction Using Multimodal Distributions,
Assist18(77-83)
IEEE DOI
1806
convolution, emotion recognition, feature extraction,
feedforward neural nets, object detection, CNN model,
Training
BibRef
Kowalski, M.,
Nasarzewski, Z.,
Galinski, G.,
Garbat, P.,
HoloFace: Augmenting Human-to-Human Interactions on HoloLens,
WACV18(141-149)
IEEE DOI
1806
emotion recognition, face recognition, pose estimation,
solid modelling, HoloFace framework, HoloLens user,
BibRef
Knyazev, B.,
Shvetsov, R.,
Efremova, N.,
Kuharenko, A.,
Leveraging Large Face Recognition Data for Emotion Classification,
FG18(692-696)
IEEE DOI
1806
Emotion recognition, Face, Face recognition,
Support vector machines, Task analysis, Training, Videos,
video processing
BibRef
Lai, Y.H.,
Lai, S.H.,
Emotion-Preserving Representation Learning via Generative Adversarial
Network for Multi-View Facial Expression Recognition,
FG18(263-270)
IEEE DOI
1806
Emotion recognition, Face, Face recognition, Feature extraction,
Generators, face frontalization,
pose variation
BibRef
Loob, C.[Christer],
Rasti, P.[Pejman],
Lüsi, I.[Iiris],
Jacques Junior, J.C.S.[Julio C.S.],
Baró, X.[Xavier],
Escalera, S.[Sergio],
Sapinski, T.[Tomasz],
Kaminska, D.[Dorota],
Anbarjafari, G.[Gholamreza],
Dominant and Complementary Multi-Emotional Facial Expression
Recognition Using C-Support Vector Classification,
FG17(833-838)
IEEE DOI
1707
Databases, Emotion recognition, Face, Face recognition,
Feature extraction, Kernel, Support vector machines
BibRef
Kim, Y.G.,
Huynh, X.P.,
Discrimination Between Genuine Versus Fake Emotion Using Long-Short
Term Memory with Parametric Bias and Facial Landmarks,
EmotionComp17(3065-3072)
IEEE DOI
1802
Boosting, Emotion recognition, Face, Face recognition, Mirrors,
Neurons, Training
BibRef
Saxen, F.,
Werner, P.,
Al-Hamadi, A.,
Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from
Facial Activity Descriptors,
EmotionComp17(3073-3078)
IEEE DOI
1802
Computational modeling, Computer vision, Estimation, Gold,
Support vector machines, Training, Videos
BibRef
Ozkan, S.,
Akar, G.B.,
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake
Expression Prediction,
EmotionComp17(3094-3100)
IEEE DOI
1802
Computational modeling, Computer architecture, Data models, Face,
Feature extraction, Robustness, Visualization
BibRef
Li, L.,
Baltrusaitis, T.,
Sun, B.,
Morency, L.P.,
Combining Sequential Geometry and Texture Features for Distinguishing
Genuine and Deceptive Emotions,
EmotionComp17(3147-3153)
IEEE DOI
1802
Emotion recognition, Face, Image reconstruction, Logic gates,
Mathematical model, Visualization
BibRef
Wan, J.,
Escalera, S.,
Anbarjafari, G.,
Escalante, H.J.,
Baro, X.,
Guyon, I.,
Madadi, M.,
Allik, J.,
Gorbova, J.,
Lin, C.,
Xie, Y.,
Results and Analysis of ChaLearn LAP Multi-modal Isolated and
Continuous Gesture Recognition, and Real Versus Fake Expressed
Emotions Challenges,
EmotionComp17(3189-3197)
IEEE DOI
1802
Emotion recognition, Feature extraction, Gesture recognition,
Skeleton, Spatiotemporal phenomena, Training
BibRef
Nemati, S.,
Naghsh-Nilchi, A.R.,
Exploiting evidential theory in the fusion of textual, audio, and
visual modalities for affective music video retrieval,
IPRIA17(222-228)
IEEE DOI
1712
emotion recognition, image fusion, inference mechanisms,
sentiment analysis, social networking (online),
Lexicon-based sentiment analysis
BibRef
Moghadam, S.M.,
Seyyedsalehi, S.A.,
Nonlinear analysis of video images using deep recurrent
auto-associative neural networks for facial understanding,
IPRIA17(20-25)
IEEE DOI
1712
emotion recognition, face recognition, feature extraction,
image sequences, learning (artificial intelligence),
Nonlinear Video Analysis
BibRef
Li, J.S.[Jian-Shu],
Chen, Y.P.[Yun-Peng],
Xiao, S.T.[Sheng-Tao],
Zhao, J.[Jian],
Roy, S.[Sujoy],
Feng, J.S.[Jia-Shi],
Yan, S.C.[Shui-Cheng],
Sim, T.[Terence],
Estimation of Affective Level in the Wild with Multiple Memory
Networks,
FaceWild17(1947-1954)
IEEE DOI
1709
Bidirectional control, Estimation, Face, Feature extraction,
Neural networks, Predictive models, Training
BibRef
Kosti, R.,
Alvarez, J.M.,
Recasens, A.,
Lapedriza, A.[Agata],
Emotion Recognition in Context,
CVPR17(1960-1968)
IEEE DOI
1711
BibRef
Earlier:
EMOTIC: Emotions in Context Dataset,
DeepAffective17(2309-2317)
IEEE DOI
1709
Computer vision, Databases, Distance measurement,
Emotion recognition, Face, Face recognition, Image, recognition
BibRef
Ruiz, A.[Adria],
Martinez, O.[Oriol],
Binefa, X.[Xavier],
Sukno, F.M.[Federico M.],
Fusion of Valence and Arousal Annotations through Dynamic Subjective
Ordinal Modelling,
FG17(331-338)
IEEE DOI
1707
Reliable ground truth.
Affective computing, Computer vision, Context, Labeling, Observers,
Training, Videos
BibRef
McDuff, D.,
Soleymani, M.,
Large-scale Affective Content Analysis:
Combining Media Content Features and Facial Reactions,
FG17(339-345)
IEEE DOI
1707
Encoding, Feature extraction, Media, Software, Tagging, Videos, Visualization
BibRef
Guo, J.,
Zhou, S.,
Wu, J.,
Wan, J.,
Zhu, X.,
Lei, Z.,
Li, S.Z.,
Multi-modality Network with Visual and Geometrical Information for
Micro Emotion Recognition,
FG17(814-819)
IEEE DOI
1707
Computer architecture, Emotion recognition, Face, Face recognition,
Feature extraction, Geometry, Visualization
BibRef
Nguyen, D.[Dung],
Nguyen, K.[Kien],
Sridharan, S.[Sridha],
Ghasemi, A.[Afsane],
Dean, D.[David],
Fookes, C.[Clinton],
Deep Spatio-Temporal Features for Multimodal Emotion Recognition,
WACV17(1215-1223)
IEEE DOI
1609
Convolution, Emotion recognition, Face, Feature extraction, Speech,
Speech recognition, Streaming, media
BibRef
Talavera, E.[Estefania],
Strisciuglio, N.[Nicola],
Petkov, N.[Nicolai],
Radeva, P.[Petia],
Sentiment Recognition in Egocentric Photostreams,
IbPRIA17(471-479).
Springer DOI
1706
BibRef
Zhao, K.[Kun],
Yang, S.[Siqi],
Wiliem, A.,
Lovell, B.C.,
Landmark manifold: Revisiting the Riemannian manifold approach for
facial emotion recognition,
ICPR16(1095-1100)
IEEE DOI
1705
Emotion recognition, Feature extraction, Kernel, Manifolds,
Measurement, Shape, Support, vector, machines
BibRef
Chen, S.[Shiyu],
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
Noroozi, F.,
Marjanovic, M.,
Njegus, A.,
Escalera, S.,
Anbarjafari, G.,
Fusion of classifier predictions for audio-visual emotion recognition,
ICPR16(61-66)
IEEE DOI
1705
Databases, Emotion recognition, Eyebrows, Face, Feature extraction,
Mouth, Visualization
BibRef
Laranjeira, A.[Ana],
Frazăo, X.[Xavier],
Pimentel, A.[André],
Ribeiro, B.[Bernardete],
How Deep Can We Rely on Emotion Recognition,
CIARP16(511-520).
Springer DOI
1703
BibRef
Niu, J.W.[Jian-Wei],
Su, Y.M.[Yi-Ming],
Mo, S.[Shasha],
Zhu, Z.Y.[Ze-Yu],
A Novel Affective Visualization System for Videos Based on Acoustic and
Visual Features,
MMMod17(II: 15-27).
Springer DOI
1701
BibRef
Wang, G.L.[Guo-Long],
Qin, Z.[Zheng],
Xu, K.P.[Kai-Ping],
Recognizing Emotions Based on Human Actions in Videos,
MMMod17(II: 306-317).
Springer DOI
1701
BibRef
Zafeiriou, S.P.[Stefanos P.],
Kollias, D.,
Nicolaou, M.A.[Mihalis A.],
Papaioannou, A.[Athanasios],
Zhao, G.Y.[Guo-Ying],
Kotsia, I.[Irene],
Aff-Wild: Valence and Arousal 'In-the-Wild' Challenge,
FaceWild17(1980-1987)
IEEE DOI
1709
Databases, Distance measurement, Estimation, Motion pictures, Tools,
Videos, YouTube
BibRef
Kollias, D.,
Nicolaou, M.A.[Mihalis A.],
Kotsia, I.[Irene],
Zhao, G.Y.[Guo-Ying],
Zafeiriou, S.P.[Stefanos P.],
Recognition of Affect in the Wild Using Deep Neural Networks,
FaceWild17(1972-1979)
IEEE DOI
1709
Computer architecture, Databases, Estimation, Kernel,
Recurrent neural networks, Training, Visualization
BibRef
Kim, B.K.,
Dong, S.Y.,
Roh, J.,
Kim, G.,
Lee, S.Y.,
Fusing Aligned and Non-aligned Face Information for Automatic Affect
Recognition in the Wild: A Deep Learning Approach,
Affect16(1499-1508)
IEEE DOI
1612
BibRef
Mou, W.,
Gunes, H.[Hatice],
Patras, I.,
Automatic Recognition of Emotions and Membership in Group Videos,
Affect16(1478-1486)
IEEE DOI
1612
BibRef
Benitez-Quiroz, C.F.,
Srinivasan, R.,
Martinez, A.M.,
EmotioNet: An Accurate, Real-Time Algorithm for the Automatic
Annotation of a Million Facial Expressions in the Wild,
CVPR16(5562-5570)
IEEE DOI
1612
BibRef
Allaert, B.[Benjamin],
Mennesson, J.[José],
Bilasco, I.M.[Ioan Marius],
EmoGame: Towards a Self-Rewarding Methodology for Capturing Children
Faces in an Engaging Context,
HBU16(3-14).
Springer DOI
1611
BibRef
Mennesson, J.[José],
Allaert, B.[Benjamin],
Bilasco, I.M.[Ioan Marius],
van der Aa, N.,
Denis, A.,
Cruz-Lara, S.,
Faces and thoughts: An empathic dairy,
FG15(1-1)
IEEE DOI
1508
cameras
BibRef
Khorrami, P.,
Le Paine, T.,
Brady, K.,
Dagli, C.,
Huang, T.S.,
How deep neural networks can improve emotion recognition on video
data,
ICIP16(619-623)
IEEE DOI
1610
Convolution
BibRef
Peng, K.C.,
Sadovnik, A.,
Gallagher, A.,
Chen, T.,
Where do emotions come from? Predicting the Emotion Stimuli Map,
ICIP16(614-618)
IEEE DOI
1610
Benchmark testing
BibRef
Zhang, H.,
Xu, M.,
Modeling temporal information using discrete fourier transform for
recognizing emotions in user-generated videos,
ICIP16(629-633)
IEEE DOI
1610
Discrete Fourier transforms
BibRef
Ranganathan, H.,
Chakraborty, S.,
Panchanathan, S.,
Multimodal emotion recognition using deep learning architectures,
WACV16(1-9)
IEEE DOI
1606
Databases
BibRef
Deng, W.,
Hu, J.,
Zhang, S.,
Guo, J.,
DeepEmo: Real-world facial expression analysis via deep learning,
VCIP15(1-4)
IEEE DOI
1605
Databases
BibRef
Khan, R.A.[Rizwan Ahmed],
Meyer, A.[Alexandre],
Bouakaz, S.[Saida],
Automatic Affect Analysis: From Children to Adults,
ISVC15(II: 304-313).
Springer DOI
1601
BibRef
Ding, X.M.[Xin-Miao],
Huang, L.[Lulu],
Li, B.[Bing],
Lang, C.Y.[Cong-Yan],
Hua, Z.[Zhen],
Wang, Y.L.[Yu-Ling],
A Novel Emotional Saliency Map to Model Emotional Attention Mechanism,
MMMod16(II: 197-206).
Springer DOI
1601
BibRef
Chen, M.[Ming],
Zhang, L.[Lu],
Allebach, J.P.[Jan P.],
Learning deep features for image emotion classification,
ICIP15(4491-4495)
IEEE DOI
1512
Image emotion
BibRef
Zhao, S.C.[Si-Cheng],
Yao, H.X.[Hong-Xun],
Jiang, X.L.[Xiao-Lei],
Sun, X.S.[Xiao-Shuai],
Predicting discrete probability distribution of image emotions,
ICIP15(2459-2463)
IEEE DOI
1512
Emotion Distribution Prediction; Image Emotion; Sparse Learning
BibRef
Happy, S.L.,
Routray, A.,
Robust facial expression classification using shape and appearance
features,
ICAPR15(1-5)
IEEE DOI
1511
emotion recognition
BibRef
Chen, H.C.[Hsieh-Chung],
Comiter, M.Z.[Marcus Z.],
Kung, H.T.,
McDanel, B.[Bradley],
Sparse Coding Trees with application to emotion classification,
AMFG15(77-86)
IEEE DOI
1510
Accuracy
BibRef
Chen, H.[Hui],
Li, J.D.[Jiang-Dong],
Zhang, F.J.[Feng-Jun],
Li, Y.[Yang],
Wang, H.A.[Hong-An],
3D model-based continuous emotion recognition,
CVPR15(1836-1845)
IEEE DOI
1510
BibRef
Alashkar, T.[Taleb],
Ben Amor, B.[Boulbaba],
Berretti, S.[Stefano],
Daoudi, M.[Mohamed],
Analyzing trajectories on Grassmann manifold for early emotion
detection from depth videos,
FG15(1-6)
IEEE DOI
1508
emotion recognition
See also Grassmann framework for 4D facial shape analysis, A.
BibRef
Save, M.,
Zazula, D.,
Munda, J.,
Potocnik, B.,
Semi-transparent mirror with hidden camera to assess human emotions,
FG15(1-1)
IEEE DOI
1508
emotion recognition
BibRef
Chen, J.X.[Ji-Xu],
Chang, M.C.[Ming-Ching],
Tu, P.,
A live video analytic system for affect analysis in public space,
FG15(1-1)
IEEE DOI
1508
emotion recognition
BibRef
Vieriu, R.L.[Radu-Laurentiu],
Tulyakov, S.[Sergey],
Semeniuta, S.,
Sangineto, E.,
Sebe, N.,
Facial expression recognition under a wide range of head poses,
FG15(1-7)
IEEE DOI
1508
emotion recognition
BibRef
Kniaz, V.V.,
Smirnova, Z.N.,
Music-Elicited Emotion Identification Using Optical Flow Analysis of
Human Face,
PTVSBB15(27-32).
DOI Link
1508
BibRef
Oussalah, M.,
Wang, S.,
Fuzzy emotion recognition model for video sequences,
IPTA12(127-132)
IEEE DOI
1503
emotion recognition
BibRef
Sonmez, E.B.,
Sankur, B.,
Albayrak, S.,
Classification with emotional faces via a robust sparse classifier,
IPTA12(344-349)
IEEE DOI
1503
emotion recognition
BibRef
Peng, K.C.[Kuan-Chuan],
Karlsson, K.[Kolbeinn],
Chen, T.H.[Tsu-Han],
Zhang, D.Q.[Dong-Qing],
Yu, H.[Heather],
A framework of changing image emotion using emotion prediction,
ICIP14(4637-4641)
IEEE DOI
1502
Correlation
BibRef
Cardone, D.[Daniela],
Merla, A.[Arcangelo],
The thermal dimension of psychophysiological and emotional responses
revealed by thermal infrared imaging,
ICIP14(1942-1946)
IEEE DOI
1502
Biomedical monitoring
BibRef
García, H.F.[Hernán F.],
Álvarez, M.A.[Mauricio A.],
Orozco, Á.Á.[Álvaro Á.],
Gaussian Process Dynamical Models for Emotion Recognition,
ISVC14(II: 799-808).
Springer DOI
1501
BibRef
Rezazadegan Tavakoli, H.[Hamed],
Yanulevskaya, V.[Victoria],
Rahtu, E.[Esa],
Heikkila, J.[Janne],
Sebe, N.[Nicu],
Emotional Valence Recognition, Analysis of Salience and Eye Movements,
ICPR14(4666-4671)
IEEE DOI
1412
Computational modeling
BibRef
Lablack, A.[Adel],
Danisman, T.[Taner],
Bilasco, l.M.[loan Marius],
Djeraba, C.[Chaabane],
A Local Approach for Negative Emotion Detection,
ICPR14(417-420)
IEEE DOI
1412
Computer vision
BibRef
Araujo, R.[Rodrigo],
Kamel, M.S.[Mohamed S.],
Audio-Visual Emotion Analysis Using Semi-Supervised Temporal Clustering
with Constraint Propagation,
ICIAR14(II: 3-11).
Springer DOI
1410
BibRef
Ramirez, G.A.[Geovany A.],
Fuentes, O.[Olac],
Crites, S.L.[Stephen L.],
Jimenez, M.[Maria],
Ordonez, J.[Juanita],
Color Analysis of Facial Skin: Detection of Emotional State,
SocialInter14(474-479)
IEEE DOI
1409
Skin color.
BibRef
Acar, E.[Esra],
Hopfgartner, F.[Frank],
Albayrak, S.[Sahin],
Understanding Affective Content of Music Videos through Learned
Representations,
MMMod14(I: 303-314).
Springer DOI
1405
BibRef
Hadjerci, O.[Oussama],
Lablack, A.[Adel],
Bilasco, I.M.[Ioan Marius],
Djeraba, C.[Chaabane],
Affect Recognition Using Magnitude Models of Motion,
MMMod14(II: 339-344).
Springer DOI
1405
BibRef
Huang, X.H.[Xiao-Hua],
Zhao, G.Y.[Guo-Ying],
Pietikainen, M.[Matti],
Emotion recognition from facial images with arbitrary views,
BMVC13(xx-yy).
DOI Link
1402
BibRef
Nguyen, H.[Hung],
Kotani, K.[Kazunori],
Chen, F.[Fan],
Le, B.[Bac],
A Thermal Facial Emotion Database and Its Analysis,
PSIVT13(397-408).
Springer DOI
1402
Dataset, Facial Expression.
BibRef
Behrens, S.[Stephanie],
Al-Hamadi, A.[Ayoub],
Niese, R.[Robert],
Redweik, E.[Eicke],
Automatic User-Specific Avatar Parametrisation and Emotion Mapping,
ACIVS13(192-202).
Springer DOI
1311
Classification and Recognition
BibRef
Poggi, I.[Isabella],
d'Errico, F.[Francesca],
Towards the Parody Machine. Qualitative Analysis and Cognitive
Processes in the Parody of a Politician,
SBA13(491-500).
Springer DOI
1309
BibRef
Jeni, L.A.[László Attila],
Lorincz, A.[András],
Szabó, Z.[Zoltán],
Cohn, J.F.[Jeffrey F.],
Kanade, T.[Takeo],
Spatio-temporal Event Classification Using Time-Series Kernel Based
Structured Sparsity,
ECCV14(IV: 135-150).
Springer DOI
1408
BibRef
Earlier: A2, A1, A3, A4, A5:
Emotional Expression Classification Using Time-Series Kernels,
AMFG13(889-895)
IEEE DOI
1309
3d shape
BibRef
Chen, S.Z.[Shi-Zhi],
Tian, Y.L.[Ying-Li],
Margin-constrained multiple kernel learning based multi-modal fusion
for affect recognition,
FG13(1-7)
IEEE DOI
1309
face recognition
BibRef
Yu, X.[Xiang],
Zhang, S.T.[Shao-Ting],
Yu, Y.[Yang],
Dunbar, N.,
Jensen, M.,
Burgoon, J.K.,
Metaxas, D.N.,
Automated analysis of interactional synchrony using robust facial
tracking and expression recognition,
FG13(1-6)
IEEE DOI
1309
emotion recognition
BibRef
Cheng, J.K.[Jin-Kuang],
Deng, Y.D.[Yang-Dong],
Meng, H.Y.[Hong-Ying],
Wang, Z.H.[Zhi-Hua],
A facial expression based continuous emotional state monitoring
system with GPU acceleration,
FG13(1-6)
IEEE DOI
1309
emotion recognition
BibRef
Levesque, J.C.,
Morency, L.P.[Louis-Philippe],
Gagne, C.,
Sequential emotion recognition using Latent-Dynamic Conditional
Neural Fields,
FG13(1-6)
IEEE DOI
1309
emotion recognition
BibRef
Baltrusaitis, T.,
Banda, N.,
Robinson, P.,
Dimensional affect recognition using Continuous Conditional Random
Fields,
FG13(1-8)
IEEE DOI
1309
emotion recognition
BibRef
Agarwal, S.,
Mukherjee, D.P.,
Decoding mixed emotions from expression map of face images,
FG13(1-6)
IEEE DOI
1309
emotion recognition
BibRef
Marco-Giménez, L.[Luis],
Arevalillo-Herráez, M.[Miguel],
Cuhna-Pérez, C.[Cristina],
Eigenexpressions: Emotion Recognition Using Multiple Eigenspaces,
IbPRIA13(758-765).
Springer DOI
1307
BibRef
Dhall, A.[Abhinav],
Joshi, J.[Jyoti],
Radwan, I.[Ibrahim],
Goecke, R.[Roland],
Finding Happiest Moments in a Social Context,
ACCV12(II:613-626).
Springer DOI
1304
BibRef
Cruz, A.C.[Albert C.],
Bhanu, B.[Bir],
Thakoor, N.S.[Ninad S.],
One shot emotion scores for facial emotion recognition,
ICIP14(1376-1380)
IEEE DOI
1502
BibRef
And:
Facial emotion recognition with anisotropic inhibited Gabor energy
histograms,
ICIP13(4215-4219)
IEEE DOI
1402
BibRef
And:
ICIP13(4215-4219)
IEEE DOI
1402
BibRef
Earlier:
Facial emotion recognition in continuous video,
ICPR12(1880-1883).
WWW Link.
1302
Avatars.
Feature extraction
BibRef
Lu, K.[Kun],
Jia, Y.D.[Yun-De],
Audio-visual emotion recognition with boosted coupled HMM,
ICPR12(1148-1151).
WWW Link.
1302
BibRef
And:
Audio-visual emotion recognition using Boltzmann Zippers,
ICIP12(2589-2592).
IEEE DOI
1302
BibRef
Verma, G.K.[Gyanendra K.],
Singh, B.K.[Bhupesh Kumar],
Emotion recognition based on texture analysis of facial expression,
ICIIP11(1-6).
IEEE DOI
1112
BibRef
Yen, N.Y.[Nguwi Yok],
Toe, T.T.[Teoh Teik],
Two-tier Emergent Self-Organizing (TtEsom) approach of understanding
emotions,
ICARCV10(654-658).
IEEE DOI
1109
BibRef
Meng, H.Y.[Hong-Ying],
Romera-Paredes, B.[Bernardino],
Bianchi-Berthouze, N.[Nadia],
Emotion recognition by two view SVM_2K classifier on dynamic facial
expression features,
FG11(854-859).
IEEE DOI
1103
BibRef
Littlewort, G.C.[Gwen C.],
Whitehill, J.[Jacob],
Wu, T.F.[Ting-Fan],
Butko, N.[Nicholas],
Ruvolo, P.[Paul],
Movellan, J.R.[Javier R.],
Bartlett, M.S.[Marian S.],
The motion in emotion:
A CERT based approach to the FERA emotion challenge,
FG11(897-902).
IEEE DOI
1103
See also computer expression recognition toolbox (CERT), The.
BibRef
Soleymani, M.[Mohammad],
Koelstra, S.[Sander],
Patras, I.[Ioannis],
Pun, T.[Thierry],
Continuous emotion detection in response to music videos,
FG11(803-808).
IEEE DOI
1103
BibRef
Chatterjee, S.[Suvam],
Shi, H.[Hao],
A Novel Neuro Fuzzy Approach to Human Emotion Determination,
DICTA10(282-287).
IEEE DOI
1012
BibRef
Li, S.[Shuo],
Zhang, Y.J.[Yu-Jin],
Tan, H.C.[Hua-Chun],
Discovering latent semantic factors for emotional picture
categorization,
ICIP10(1065-1068).
IEEE DOI
1009
BibRef
Paleari, M.[Marco],
Huet, B.[Benoit],
Chellali, R.[Ryad],
Towards multimodal emotion recognition: a new approach,
CIVR10(174-181).
DOI Link
1007
BibRef
Du, Y.Z.[Yang-Zhou],
Bi, W.Y.[Wen-Yuan],
Wang, T.[Tao],
Zhang, Y.M.[Yi-Min],
Ai, H.Z.[Hai-Zhou],
Distributing expressional faces in 2-D emotional space,
CIVR07(395-400).
DOI Link
0707
BibRef
Matsukawa, T.[Tetsu],
Hidaka, A.[Akinori],
Kurita, T.[Takio],
Classification of Spectators' State in Video Sequences by Voting of
Facial Expressions and Face Directions,
MVA09(426-).
PDF File.
0905
BibRef
Kim, M.Y.[Min-Young],
Pavlovic, V.[Vladimir],
Structured Output Ordinal Regression for Dynamic Facial Emotion
Intensity Prediction,
ECCV10(III: 649-662).
Springer DOI
1009
See also Multi-Output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation.
See also Discriminative Learning for Dynamic State Prediction.
BibRef
Zheng, W.M.[Wen-Ming],
Tang, H.[Hao],
Lin, Z.C.[Zhou-Chen],
Huang, T.S.[Thomas S.],
Emotion Recognition from Arbitrary View Facial Images,
ECCV10(VI: 490-503).
Springer DOI
1009
BibRef
Bernhardt, D.[Daniel],
Robinson, P.[Peter],
Detecting Emotions from Connected Action Sequences,
IVIC09(1-11).
Springer DOI
0911
BibRef
Meghjani, M.[Malika],
Ferrie, F.P.[Frank P.],
Dudek, G.[Gregory],
Bimodal information analysis for emotion recognition,
WACV09(1-6).
IEEE DOI
0912
BibRef
Fazli, S.[Saeid],
Afrouzian, R.[Reza],
Seyedarabi, H.[Hadi],
A Combined KPCA and SVM Method for Basic Emotional Expressions
Recognition,
ICMV09(84-88).
IEEE DOI
0912
BibRef
Qi, L.[Lin],
Chen, E.Q.[En-Qing],
Mu, X.M.[Xiao-Min],
Guan, L.[Ling],
Zhang, S.S.[Si-Si],
Gao, L.[Lei],
Recognizing Human Emotional State Based on the 2D-FrFT and FLDA,
CISP09(1-4).
IEEE DOI
0910
BibRef
Khan, M.M.[Masood Mehmood],
Ward, R.D.[Robert D.],
Ingleby, M.[Michael],
Capturing Physiology of Emotion along Facial Muscles:
A Method of Distinguishing Feigned from Involuntary Expressions,
CAIP09(1196-1203).
Springer DOI
0909
BibRef
Rojas Quińones, M.[Mario],
Masip, D.[David],
Vitriŕ, J.[Jordi],
Predicting dominance judgements automatically:
A machine learning approach,
FG11(939-944).
IEEE DOI
1103
Facial features for social dominance estimation.
BibRef
Rodo, D.M.[David Masip],
Todorov, A.[Alexander],
Vitriŕ Marca, J.[Jordi],
The Role of Facial Regions in Evaluating Social Dimensions,
Face12(II: 210-219).
Springer DOI
1210
BibRef
Escalera, S.[Sergio],
Puertas, E.[Eloi],
Radeva, P.I.[Petia I.],
Pujol, O.[Oriol],
Multi-modal laughter recognition in video conversations,
CVPR4HB09(110-115).
IEEE DOI
0906
BibRef
Chang, K.Y.[Kai-Yueh],
Liu, T.L.[Tyng-Luh],
Lai, S.H.[Shang-Hong],
Learning partially-observed hidden conditional random fields for facial
expression recognition,
CVPR09(533-540).
IEEE DOI
0906
BibRef
Shang, L.F.[Li-Feng],
Chan, K.P.[Kwok-Ping],
Nonparametric discriminant HMM and application to facial expression
recognition,
CVPR09(2090-2096).
IEEE DOI
0906
BibRef
Ishii, M.[Masaki],
Sato, K.[Kazuhito],
Madokoro, H.[Hirokazu],
Nishida, M.[Makoto],
Generation of emotional feature space based on topological
characteristics of facial expression images,
FG08(1-6).
IEEE DOI
0809
BibRef
Valstar, M.F.[Michel F.],
Colton, S.[Simon],
Pantic, M.[Maja],
Emotionally aware automated portrait painting demonstration,
FG08(1-2).
IEEE DOI
0809
BibRef
Tamietto, M.[Marco],
de Gelder, B.[Beatrice],
Emotional contagion for unseen bodily expressions:
Evidence from facial EMG,
FG08(1-5).
IEEE DOI
0809
BibRef
Brizzi, J.[Jesse],
Goldgof, D.B.[Dmitry B.],
Sarkar, S.[Sudeep],
Shreve, M.[Matthew],
Optical Flow Based Expression Suppression in Video,
ICPR14(1817-1821)
IEEE DOI
1412
Pattern recognition
BibRef
Manohar, V.[Vasant],
Shreve, M.[Matthew],
Goldgof, D.B.[Dmitry B.],
Sarkar, S.[Sudeep],
Modeling Facial Skin Motion Properties in Video and Its Application to
Matching Faces across Expressions,
ICPR10(2122-2125).
IEEE DOI
1008
BibRef
Shreve, M.[Matthew],
Godavarthy, S.[Sridhar],
Goldgof, D.[Dmitry],
Sarkar, S.[Sudeep],
Macro- and micro-expression spotting in long videos using
spatio-temporal strain,
FG11(51-56).
IEEE DOI
1103
BibRef
Shreve, M.[Matthew],
Godavarthy, S.[Sridhar],
Manohar, V.[Vasant],
Goldgof, D.[Dmitry],
Sarkar, S.[Sudeep],
Towards macro- and micro-expression spotting in video using strain
patterns,
WACV09(1-6).
IEEE DOI
0912
BibRef
Manohar, V.[Vasant],
Shreve, M.[Matthew],
Goldgof, D.B.[Dmitry B.],
Sarkar, S.[Sudeep],
Finite element modeling of facial deformation in videos for computing
strain pattern,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Wang, W.N.[Wei-Ning],
He, Q.H.[Qian-Hua],
A survey on emotional semantic image retrieval,
ICIP08(117-120).
IEEE DOI
0810
BibRef
Yanulevskaya, V.,
van Gemert, J.C.,
Roth, K.,
Herbold, A.K.,
Sebe, N.,
Geusebroek, J.M.,
Emotional valence categorization using holistic image features,
ICIP08(101-104).
IEEE DOI
0810
BibRef
Wang, S.[Sen],
Gu, X.F.D.[Xian-Feng David],
Qin, H.[Hong],
Automatic non-rigid registration of 3D dynamic data for facial
expression synthesis and transfer,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Hupont, I.[Isabelle],
Baldassarri, S.[Sandra],
del Hoyo, R.[Rafael],
Cerezo, E.[Eva],
Effective Emotional Classification Combining Facial Classifiers and
User Assessment,
AMDO08(xx-yy).
Springer DOI
0807
BibRef
Beszedes, M.,
Culverhouse, P.F.,
Facial Emotions and Emotion Intensity Levels Classification and
Classification Evaluation,
BMVC07(xx-yy).
PDF File.
0709
BibRef
Arifin, S.,
Cheung, P.Y.K.,
User Attention Based Arousal Content Modeling,
ICIP06(433-436).
IEEE DOI
0610
Evaluate the emotion in the video.
BibRef
Wong, J.J.[Jia-Jun],
Cho, S.Y.[Siu-Yeung],
Adaptive Processing of Face Emotion Tree Structures,
ICPR06(I: 1184-1187).
IEEE DOI
0609
BibRef
Kobayashi, Y.[Yuichi],
Ohya, J.[Jun],
EM-in-M: Analyze and Synthesize Emotion in Motion,
IWICPAS06(135-143).
Springer DOI
0608
BibRef
Nayak, V.[Vishal],
Turk, M.A.[Matthew A.],
Emotional Expression in Virtual Agents Through Body Language,
ISVC05(313-320).
Springer DOI
0512
BibRef
Li, H.B.[Hui-Bin],
Huang, D.[Di],
Lemaire, P.[Pierre],
Morvan, J.M.[Jean-Marie],
Chen, L.M.[Li-Ming],
Expression Robust 3D Face Recognition via Mesh-Based Histograms of
Multiple Order Surface Differential Quantities,
ICIP11(3053-3056).
IEEE DOI
1201
BibRef
Li, H.B.[Hui-Bin],
Morvan, J.M.[Jean-Marie],
Chen, L.M.[Li-Ming],
3D Facial Expression Recognition Based on Histograms of Surface
Differential Quantities,
ACIVS11(483-494).
Springer DOI
1108
BibRef
Livingston, A.R.[Adam R.],
Seow, M.J.[Ming-Jung],
Asari, V.K.[Vijayan K.],
A Binary Decision Tree Based Real-Time Emotion Detection System,
ISVC07(I: 432-441).
Springer DOI
0711
BibRef
Altun, H.[Halis],
Polat, G.[Gökhan],
New Frameworks to Boost Feature Selection Algorithms in Emotion
Detection for Improved Human-Computer Interaction,
BVAI07(533-541).
Springer DOI
0710
BibRef
Xiao, Z.Z.[Zhong-Zhe],
Dellandrea, E.,
Dou, W.B.[Wei-Bei],
Chen, L.M.[Li-Ming],
Features extraction and selection for emotional speech classification,
AVSBS05(411-416).
IEEE DOI
0602
BibRef
Shin, Y.S.[Young-Suk],
Recognizing Facial Expressions with PCA and ICA onto Dimension of the
Emotion,
SSPR06(916-922).
Springer DOI
0608
BibRef
And:
Facial Expression Recognition in Various Internal States Using
Independent Component Analysis,
AMDO06(291-299).
Springer DOI
0607
BibRef
Earlier:
The Effect of Facial Expression Recognition Based on the Dimensions of
Emotion Using PCA Representation and Neural Networks,
ICIAR05(1133-1140).
Springer DOI
0509
BibRef
Earlier:
Facial Expression Recognition Based on Dimension Model of Emotion with
Autonomously Extracted Sparse Representations,
ICBA04(81-87).
Springer DOI
0505
BibRef
Baltrusaitis, T.[Tadas],
McDuff, D.J.[Daniel J.],
Banda, N.[Ntombikayise],
Mahmoud, M.[Marwa],
el Kaliouby, R.[Rana],
Robinson, P.[Peter],
Picard, R.W.[Rosalind W.],
Real-time inference of mental states from facial expressions and upper
body gestures,
FG11(909-914).
IEEE DOI
1103
See also the MIT Mood Meter:
WWW Link.
BibRef
el Kaliouby, R.[Rana],
Robinson, P.[Peter],
Real-Time Inference of Complex Mental States from Facial Expressions
and Head Gestures,
RealTimeHCI04(154).
IEEE DOI
0502
BibRef
Sebe, N.[Nicu],
Cohen, I.[Ira],
Gevers, T.[Theo],
Huang, T.S.[Thomas S.],
Emotion Recognition Based on Joint Visual and Audio Cues,
ICPR06(I: 1136-1139).
IEEE DOI
0609
BibRef
Sun, Y.[Yafei],
Sebe, N.[Nicu],
Lew, M.S.[Michael S.],
Gevers, T.[Theo],
Authentic Emotion Detection in Real-Time Video,
CVHCI04(94).
Springer DOI
0505
BibRef
Song, M.L.[Ming-Li],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
Li, N.[Nan],
Audio-visual based emotion recognition-a new approach,
CVPR04(II: 1020-1025).
IEEE DOI
0408
BibRef
Kang, H.B.[Hang-Bong],
Emotional event detection using relevance feedback,
ICIP03(I: 721-724).
IEEE DOI
0312
BibRef
Raouzaiou, A.,
Karpouzis, K.,
Kollias, S.,
Online Gaming and Emotion Representation,
VLBV03(298-305).
Springer DOI
0310
BibRef
Reynolds, C.[Carson],
The Sensing and Measurement of Frustration with Computers,
Vismod559, May 2001.
HTML Version.
0306
BibRef
Du, Y.Z.[Yang-Zhou],
Lin, X.[Xucyin],
Mapping emotional status to facial expressions,
ICPR02(II: 524-527).
IEEE DOI
0211
BibRef
Sebe, N.,
Lew, M.S.,
Cohen, I.[Ira],
Garg, A.,
Huang, T.S.,
Emotion recognition using a cauchy naive bayes classifier,
ICPR02(I: 17-20).
IEEE DOI
0211
See also Facial Expression Recognition from Video Sequences: Temporal and Static Modeling.
BibRef
Cohn, J.F., and
Katz, G.S.,
Bimodal Expression of Emotion by Face and Voice,
MMC98(xx-yy),
Workshop on Face/Gesture Recognition and Their Applications.
PDF File.
BibRef
9800
Chen, L.S.[Lawrence S.],
Huang, T.S.[Thomas S.],
Emotional Expressions In Audiovisual Human Computer Interaction,
ICME00(MP7).
0007
BibRef
Chen, L.S.,
Huang, T.S.,
Miyasato, T.,
Nakatsu, R.,
Multimodal Human Emotion/Expression Recognition,
AFGR98(366-371).
IEEE DOI
BibRef
9800
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Depression Analysis, PTSD, Mental Health .