21.3.6.2 Emotion Recognition from Face Images

Chapter Contents (Back)
Application, Faces. Faces, Emotions. Emotion Recognition. See also Personality, Traits, Mood, Diagnosis Analysis. See also Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions.

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

Pantic, M., Rothkrantz, L.J.M.,
Expert system for automatic analysis of facial expressions,
IVC(18), No. 11, August 2000, pp. 881-905.
Elsevier DOI 0006
BibRef
And:
Self-adaptive expert system for facial expression analysis,
SMC-C00(I: 73-79). BibRef
Earlier:
An Expert System for Multiple Emotional Classification of Facial Expressions,
AITools99(113-120). Integrated System for Facial Expression Recognition (ISFER) BibRef

Pantic, M., Rothkrantz, L.J.M.[Leon J.M.],
Facial Action Recognition for Facial Expression Analysis From Static Face Images,
SMC-B(34), No. 3, June 2004, pp. 1449-1461.
IEEE Abstract. 0407
See also Automatic Analysis of Facial Expressions: The State of the Art. BibRef

Datcu, D.[Dragos], Rothkrantz, L.J.M.[Leon J.M.],
Automatic bi-modal emotion recognition system based on fusion of facial expressions and emotion extraction from speech,
FG08(1-2).
IEEE DOI 0809
BibRef

Pantic, M., Patras, I.,
Dynamics of Facial Expression: Recognition of Facial Actions and Their Temporal Segments From Face Profile Image Sequences,
SMC-B(36), No. 2, April 2006, pp. 433-449.
IEEE DOI 0604
BibRef
Earlier: A2, A1:
Particle filtering with factorized likelihoods for tracking facial features,
AFGR04(97-102).
WWW Link. 0411
BibRef

Pogalin, E.[Erik], Redert, A.[Andre], Patras, I.[Ioannis], Hendriks, E.A.[Emile A.],
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision,
3DPVT06(57-64).
IEEE DOI 0606
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.
WWW Link. 0806
BibRef

Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Recognizing Human Emotional State From Audiovisual Signals*,
MultMed(10), No. 5, August 2008, pp. 936-946.
IEEE DOI 0905
BibRef

Wang, Y.J.[Yong-Jin], Guan, L.[Ling],
Recognizing Human Emotional State From Audiovisual Signals,
MultMed(10), No. 4, June 2008, pp. 659-668.
IEEE DOI 0905
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

Mower, E., Mataric, M.J., Narayanan, S.,
Human Perception of Audio-Visual Synthetic Character Emotion Expression in the Presence of Ambiguous and Conflicting Information,
MultMed(11), No. 5, 2009, pp. 843-855.
IEEE DOI 0907
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

Shin, Y.H.[Yun-Hee], Kim, Y.R.[Young-Rae], Kim, E.Y.[Eun Yi],
Automatic textile image annotation by predicting emotional concepts from visual features,
IVC(28), No. 3, March 2010, pp. 526-537.
Elsevier DOI 1001
Automatic image annotation; Affective features; Emotion recognition; Textile image retrieval: neural network 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], 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

Calvo, R.A.[Rafael A.], d'Mello, S.K.[Sidney K.],
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications,
AffCom(1), No. 1, January-June 2010, pp. 18-37.
IEEE DOI 1204
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

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

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

Naji, M.[Mohsen], Firoozabadi, M.[Mohammd], Azadfallah, P.[Parviz],
Emotion classification during music listening from forehead biosignals,
SIViP(9), No. 6, September 2015, pp. 1365-1375.
WWW Link. 1509
BibRef

Savran, A., Cao, H.[Houwei], Nenkova, A., Verma, R.,
Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities,
Cyber(45), No. 9, September 2015, pp. 1927-1941.
IEEE DOI 1509
Bayes methods 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

Corneanu, C.A.[Ciprian A.], Oliu Simón, M.[Marc], Cohn, J.F., Guerrero, S.E.,
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications,
PAMI(38), No. 8, August 2016, pp. 1548-1568.
IEEE DOI 1608
Survey, Emotion Recogniton. 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

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

Happy, S.L., Patnaik, P., Routray, A., Guha, R.,
The Indian Spontaneous Expression Database for Emotion Recognition,
AffCom(8), No. 1, January 2017, pp. 131-142.
IEEE DOI 1703
Cameras 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


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],
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

Lüsi, I., Junior, J.C.S.J.[J. C. S. J.], Gorbova, J., Baró, X., Escalera, S., Demirel, H., Allik, J., Ozcinar, C., Anbarjafari, G.,
Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases,
FG17(809-813)
IEEE DOI 1707
Databases, Emotion recognition, Face, Nose, Psychology, Three-dimensional, displays 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.[Zeyu],
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

Zafeiriou, S.P.[Stefanos P.], Papaioannou, A.[Athanasios], Kotsia, I.[Irene], Nicolaou, M.A.[Mihalis A.], Zhao, G.Y.[Guo-Ying],
Facial Affect 'In-the-Wild' A Survey and a New Database,
Affect16(1487-1498)
IEEE DOI 1612
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

Li, W., Abtahi, F., Tsangouri, C., Zhu, Z.,
Towards an 'In-the-Wild' Emotion Dataset Using a Game-Based Framework,
Affect16(1526-1534)
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

Alameda-Pineda, X., Ricci, E., Yan, Y., Sebe, N.,
Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion,
CVPR16(5240-5248)
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

Zhang, Z., Girard, J.M., Wu, Y., Zhang, X., Liu, P., Ciftci, U., Canavan, S., Reale, M., Horowitz, A., Yang, H., Cohn, J.F., Ji, Q., Yin, L.,
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis,
CVPR16(3438-3446)
IEEE DOI 1612
Dataset, Emotion. 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

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

Mennesson, J., Allaert, B., Bilasco, I.M., van der Aa, N., Denis, A., Cruz-Lara, S.,
Faces and thoughts: An empathic dairy,
FG15(1-1)
IEEE DOI 1508
cameras 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

Fourati, N., Pelachaud, C.,
Multi-level classification of emotional body expression,
FG15(1-8)
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
Personality, Traits, Mood, Diagnosis Analysis .


Last update:Sep 18, 2017 at 11:34:11