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
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FGR06(269-274).
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0604
BibRef
Anderson, K.[Keith],
McOwan, P.W.[Peter W.],
Real-Time Automated System for the Recognition of Human Facial
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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.
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BibRef
And:
Capturing Correlations Among Facial Parts for Facial Expression
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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
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
Glowinski, D.[Donald],
Dael, N.[Nele],
Camurri, A.[Antonio],
Volpe, G.[Gualtiero],
Mortillaro, M.,
Scherer, K.R.[Klaus R.],
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],
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Scherer, K.R.[Klaus R.],
Technique for automatic emotion recognition by body gesture analysis,
CVPR4HB08(1-6).
IEEE DOI
0806
BibRef
Yan, J.J.[Jing-Jie],
Zheng, W.M.[Wen-Ming],
Xin, M.H.[Min-Hai],
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IEICE(E97-D), No. 3, March 2014, pp. 610-613.
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1403
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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
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
Truong, A.[Arthur],
Boujut, H.[Hugo],
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Laban descriptors for gesture recognition and emotional analysis,
VC(32), No. 1, January 2016, pp. 83-98.
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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
Ding, Y.[Yu],
Shi, L.[Lei],
Deng, Z.G.[Zhi-Gang],
Low-Level Characterization of Expressive Head Motion Through
Frequency Domain Analysis,
AffCom(11), No. 3, July 2020, pp. 405-418.
IEEE DOI
2008
Magnetic heads, Dynamics, Discrete Fourier transforms, Speech,
Legged locomotion, Frequency-domain analysis,
discrete fourier transform
BibRef
Noroozi, F.[Fatemeh],
Corneanu, C.A.[Ciprian Adrian],
Kaminska, D.[Dorota],
Sapinski, T.[Tomasz],
Escalera, S.[Sergio],
Anbarjafari, G.[Gholamreza],
Survey on Emotional Body Gesture Recognition,
AffCom(12), No. 2, April 2021, pp. 505-523.
IEEE DOI
2106
Emotion recognition, Speech recognition, Legged locomotion, Face,
Neck, Pose estimation, Protocols, Emotional body language,
affective computing
BibRef
Wei, J.[Jie],
Yang, X.Y.[Xin-Yu],
Dong, Y.Z.[Yi-Zhuo],
Time-dependent Body Gesture Representation for Video Emotion
Recognition,
MMMod21(I:403-416).
Springer DOI
2106
BibRef
Shi, H.L.[Heng-Lin],
Peng, W.[Wei],
Chen, H.Y.[Hao-Yu],
Liu, X.[Xin],
Zhao, G.Y.[Guo-Ying],
Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition
From Human Actions,
IEEE_Int_Sys(37), No. 4, July 2022, pp. 103-110.
IEEE DOI
2209
Emotion recognition, Convolutional neural networks,
Gesture recognition, Biological system modeling,
Graph neural networks
BibRef
Beyan, C.[Cigdem],
Karumuri, S.[Sukumar],
Volpe, G.[Gualtiero],
Camurri, A.[Antonio],
Niewiadomski, R.[Radoslaw],
Modeling Multiple Temporal Scales of Full-Body Movements for Emotion
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AffCom(14), No. 2, April 2023, pp. 1070-1081.
IEEE DOI
2306
Emotion recognition, Hidden Markov models, Legged locomotion,
Data models, Computational modeling, Videos, Emotion recognition,
motion capture
BibRef
Mahfoudi, M.A.[Mehdi-Antoine],
Meyer, A.[Alexandre],
Gaudin, T.[Thibaut],
Buendia, A.[Axel],
Bouakaz, S.[Saida],
Emotion Expression in Human Body Posture and Movement: A Survey on
Intelligible Motion Factors, Quantification and Validation,
AffCom(14), No. 4, October 2023, pp. 2697-2721.
IEEE DOI
2312
BibRef
Chen, C.[Chuang],
Sun, X.[Xiao],
Tu, Z.Z.[Zheng-Zheng],
Wang, M.[Meng],
AST-GCN: Augmented Spatial Temporal Graph Convolutional Neural
Network for Gait Emotion Recognition,
CirSysVideo(34), No. 6, June 2024, pp. 4581-4595.
IEEE DOI
2406
Feature extraction, Emotion recognition, Legged locomotion,
Convolutional neural networks, Pedestrians,
affective computing
BibRef
Meyer, Z.[Zachary],
Adamo, N.[Nicoletta],
Benes, B.[Bedrich],
Bodily Expression of Emotions in Animated Agents,
ISVC21(II:475-487).
Springer DOI
2112
BibRef
Huang, Y.[Yibo],
Wen, H.Q.[Hong-Qian],
Qing, L.[Linbo],
Jin, R.L.[Ru-Long],
Xiao, L.M.[Lei-Ming],
Emotion Recognition Based on Body and Context Fusion in the Wild,
ABAW21(3602-3610)
IEEE DOI
2112
Emotion recognition, Visualization,
Analytical models, Face recognition, Computer architecture
BibRef
Yang, Z.Y.[Zheng-Yuan],
Kay, A.[Amanda],
Li, Y.[Yuncheng],
Cross, W.[Wendi],
Luo, J.B.[Jie-Bo],
Pose-based Body Language Recognition for Emotion and Psychiatric
Symptom Interpretation,
ICPR21(294-301)
IEEE DOI
2105
Training, Emotion recognition, Annotations, Psychology,
Collaboration, Pattern recognition, Videos
BibRef
Tahghighi, P.[Peyman],
Koochari, A.[Abbas],
Jalali, M.[Masoume],
Deformable Convolutional LSTM for Human Body Emotion Recognition,
FBE20(741-747).
Springer DOI
2103
BibRef
Sapinski, T.[Tomasz],
Kaminska, D.[Dorota],
Pelikant, A.[Adam],
Ozcinar, C.[Cagri],
Avots, E.[Egils],
Anbarjafari, G.[Gholamreza],
Multimodal Database of Emotional Speech, Video and Gestures,
MIPPSNA18(153-163).
Springer DOI
1901
Dataset, Emotions.
BibRef
Shen, Z.,
Cheng, J.,
Hu, X.,
Dong, Q.,
Emotion Recognition Based on Multi-View Body Gestures,
ICIP19(3317-3321)
IEEE DOI
1910
emotion recognition, body gesture, multi-view, feature fusion
BibRef
Nayak, V.[Vishal],
Turk, M.A.[Matthew A.],
Emotional Expression in Virtual Agents Through Body Language,
ISVC05(313-320).
Springer DOI
0512
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
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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
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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
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Depression Analysis, PTSD, Mental Health .