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Facial Action Coding System
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“FOMM learns dense optical low to support complex motions with fewer artifacts, whereas ICface and FSGAN only use sparse action units [13] or facial landmarks to learn the expression and pose, which tend to produce motion artifacts.”
From DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models (2024) · cites this paper as [13]
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Jennings, P. A., & Greenberg, M. T. (2009) · Review of Educational Research · doi:10.3102/0034654308325693 · Cited by 3,686
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Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.52 · Cited by 2,797
Autonomic nervous system activity distinguishes among emotions
Ekman, P., Levenson, R. W., & Friesen, W. V. (1983) · Science · doi:10.1126/science.6612338 · Cited by 2,692
Self-citationComprehensive database for facial expression analysis
Takeo Kanade, A., Cohn, J. F., & Tian, Y. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840611 · Cited by 2,644
Emotion recognition in human-computer interaction
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., & Taylor, J. G. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.911197 · Cited by 2,603
DePaulo, B. M., Lindsay, J. J., Malone, B. E., Muhlenbruck, L., Charlton, K., & Cooper, H. (2003) · Psychological Bulletin · doi:10.1037/0033-2909.129.1.74 · Cited by 2,479
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Mollahosseini, A., Hasani, B., & Mahoor, M. H. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2740923 · Cited by 2,338
Deep Facial Expression Recognition: A Survey
Li, S., & Deng, W. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.2981446 · Cited by 2,175
Mauss, I. B., & Robinson, M. D. (2009) · Cognition and Emotion · doi:10.1080/02699930802204677 · Cited by 2,078
Emotional responses to music: The need to consider underlying mechanisms
Juslin, P. N., & Västfjäll, D. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08005293 · Cited by 1,914
Barrett, L. F. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00003.x · Cited by 1,859
Guidelines for Human Electromyographic Research
Fridlund, A. J., & Cacioppo, J. T. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00676.x · Cited by 1,737
Approach-withdrawal and cerebral asymmetry: Emotional expression and brain physiology: I.
Davidson, R. J., Ekman, P., Saron, C. D., Senulis, J. A., & Friesen, W. V. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.2.330 · Cited by 1,684
Self-citationCoding of facial expressions of pain in the laboratory mouse
Langford, D. J., Bailey, A. L., Chanda, M. L., Clarke, S. E. D., Drummond, T. E., Echols, S., Glick, S., Ingrao, J. C., Klassen-Ross, T., LaCroix‐Fralish, M. L., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1455 · Cited by 1,570
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild
Li, S., Deng, W., & Du, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.277 · Cited by 1,470
Learning a model of facial shape and expression from 4D scans
Li, T., Bolkart, T., Black, M. J., Li, H., & Romero, J. (2017) · ACM Transactions on Graphics · doi:10.1145/3130800.3130813 · Cited by 1,375
The Duchenne smile: Emotional expression and brain physiology: II.
Ekman, P., Davidson, R. J., & Friesen, W. V. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.2.342 · Cited by 1,371
Self-citationFacial Expression Analysis under Partial Occlusion
Zhang, L., Verma, B., Tjondronegoro, D., & Chandran, V. (2018) · ACM Computing Surveys · doi:10.1145/3158369 · Cited by 1,338
Voluntary Facial Action Generates Emotion‐Specific Autonomic Nervous System Activity
Levenson, R. W., Ekman, P., & Friesen, W. V. (1990) · Psychophysiology · doi:10.1111/j.1469-8986.1990.tb02330.x · Cited by 1,248
Self-citationDissociable neural responses to facial expressions of sadness and anger
Blair, R. J. R., Morris, J. S., Frith, C. D., Perrett, D. I., & Dolan, R. J. (1999) · Brain · doi:10.1093/brain/122.5.883 · Cited by 1,212
The Tie That Binds? Coherence Among Emotion Experience, Behavior, and Physiology.
Mauss, I. B., Levenson, R. W., McCarter, L., Wilhelm, F. H., & Gross, J. J. (2005) · Emotion · doi:10.1037/1528-3542.5.2.175 · Cited by 1,201
A 3D Facial Expression Database For Facial Behavior Research
Yin, L., Wei, X., Sun, Y., Wang, J., & Rosato, M. J. (2006) · 7th International Conference on Automatic Face and Gesture Recognition (FGR06) · doi:10.1109/fgr.2006.6 · Cited by 1,171
Going deeper in facial expression recognition using deep neural networks
Mollahosseini, A., Chan, D., & Mahoor, M. H. (2016) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2016.7477450 · Cited by 1,155
Web-Based Database for Facial Expression Analysis
Pantić, M., Valstar, M., Rademaker, R. M., & Maat, L. (2005) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2005.1521424 · Cited by 1,124
Predicting marital happiness and stability from newlywed interactions
Gottman, J. M., Coan, J., Carrere, S., & Swanson, C. (1998) · Journal of Marriage and the Family · doi:10.2307/353438 · Cited by 1,121
Cultural variations in emotions: A review.
Mesquita, B., & Frijda, N. H. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.2.179 · Cited by 1,084
Felt, false, and miserable smiles
Ekman, P., & Friesen, W. V. (1982) · Journal of Nonverbal Behavior · doi:10.1007/bf00987191 · Cited by 1,074
Self-citationBradley, M. M., & Lang, P. J. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546396.025 · Cited by 1,071
FaceWarehouse: A 3D Facial Expression Database for Visual Computing
Cao, C., Weng, Y., Zhou, S., Tong, Y., & Zhou, K. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.249 · Cited by 1,034
The Evolving Concept of Subjective Well-Being: The Multifaceted Nature of Happiness
Diener, E., Scollon, C. N., & Lucas, R. E. (2009) · Social indicators research series · doi:10.1007/978-90-481-2354-4_4 · Cited by 954
Empathy: Conceptualization, measurement, and relation to prosocial behavior
Eisenberg, N., & Fabes, R. A. (1990) · Motivation and Emotion · doi:10.1007/bf00991640 · Cited by 947
Sotocina, S. G., Sorge, R. E., Zaloum, A., Tuttle, A. H., Martin, L. J., Wieskopf, J. S., Mapplebeck, J. C. S., Wei, P., Shu, Z., Zhang, S., et al. (2011) · Molecular Pain · doi:10.1186/1744-8069-7-55 · Cited by 930
Training deep networks for facial expression recognition with crowd-sourced label distribution
Barsoum, E., Zhang, C., Ferrer, C. C., & Zhang, Z. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction · doi:10.1145/2993148.2993165 · Cited by 926
Coding, analysis, interpretation, and recognition of facial expressions
Essa, I. A., & Pentland, A. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598232 · Cited by 917
Template Matching Techniques in Computer Vision
Brunelli, R. (2009) · Wiley eBooks · doi:10.1002/9780470744055 · Cited by 892
Analysis of emotion recognition using facial expressions, speech and multimodal information
Busso, C., Deng, Z., Yildirim, S., Bulut, M., Lee, C. M., Kazemzadeh, A., Lee, S., Neumann, U., & Narayanan, S. (2004) · Proceedings of the 6th international conference on Multimodal interfaces · doi:10.1145/1027933.1027968 · Cited by 840
Martínez, A. M. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1008382 · Cited by 823
Emotion Perception from Dynamic and Static Body Expressions in Point-Light and Full-Light Displays
Atkinson, A. P., Dittrich, W. H., Gemmell, A. J., & Young, A. W. (2004) · Perception · doi:10.1068/p5096 · Cited by 813
Robust Face Landmark Estimation under Occlusion
Burgos-Artizzu, X. P., Perona, P., & Dollár, P. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.191 · Cited by 805
Rinn, W. E. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.52 · Cited by 804
The Karolinska Directed Emotional Faces: A validation study
Goeleven, E., De Raedt, R., Leyman, L., & Verschuere, B. (2008) · Cognition & Emotion · doi:10.1080/02699930701626582 · Cited by 793
Toward an affect-sensitive multimodal human-computer interaction
Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817122 · Cited by 791
A Brief Review of Facial Emotion Recognition Based on Visual Information
Ko, B. C. (2018) · Sensors · doi:10.3390/s18020401 · Cited by 790
Kort, B. W., Reilly, R., & Picard, R. W. (2002) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2001.943850 · Cited by 781
Steiner, J. E., Glaser, D., Hawilo, M. E., & Berridge, K. C. (2001) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(00)00051-8 · Cited by 752
A muscle model for animation three-dimensional facial expression
Waters, K. (1987) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/37401.37405 · Cited by 749
BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
Zhang, X., Yin, L., Cohn, J. F., Canavan, S., Reale, M., Horowitz, A., Liu, P., & Girard, J. M. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.06.002 · Cited by 745
The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions
Whitehill, J., Serpell, Z. N., Lin, Y.-C., Foster, A., & Movellan, J. R. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2316163 · Cited by 734
Signs of appeasement: Evidence for the distinct displays of embarrassment, amusement, and shame.
Keltner, D. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.3.441 · Cited by 718
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition
Sarıyanidi, E., Güneş, H., & Cavallaro, A. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2366127 · Cited by 702
In bad taste: evidence for the oral origins of moral disgust
Chapman, H. A., Kim, D. A., Susskind, J. M., & Anderson, A. K. (2009) · Science · doi:10.1126/science.1165565 · Cited by 691
Li, S., & Deng, W. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2868382 · Cited by 688
Cassell, J., Pélachaud, C., Badler, N. I., Steedman, M. J., Achorn, B., Becket, T., Douville, B., Prevost, S., & Stone, M. (1994) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/192161.192272 · Cited by 687
The measurement of drug craving
Sayette, M. A., Shiffman, S., Tiffany, S. T., Niaura, R. S., Martin, C. S., & Schadel, W. G. (2000) · Addiction · doi:10.1046/j.1360-0443.95.8s2.8.x · Cited by 684
McKeown, G., Valstar, M., Cowie, R., Pantic, M., & Schroder, M. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.20 · Cited by 665
Bassili, J. N. (1979) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.37.11.2049 · Cited by 663
Darwin, Deception, and Facial Expression
Ekman, P. (2003) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1280.010 · Cited by 651
Self-citationEkman, P., Friesen, W. V., & O'Sullivan, M. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.3.414 · Cited by 649
Self-citationRecognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
Bartlett, M. S., Littlewort, G. C., Frank, M. G., Lainscsek, C. S. M., Fasel, I., & Movellan, J. R. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.297 · Cited by 643
Costa, E. D., Minero, M., Lebelt, D., Stucke, D., Canali, E., & Leach, M. C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092281 · Cited by 641
Emotion, physiology, and expression in old age
Levenson, R. W., Carstensen, L. L., Friesen, W. V., & Ekman, P. (1991) · Psychology and Aging · doi:10.1037/0882-7974.6.1.28 · Cited by 634
Self-citationPainful data: The UNBC-McMaster shoulder pain expression archive database
Lucey, P., Cohn, J. F., Prkachin, K. M., Solomon, P. E., & Matthews, I. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771462 · Cited by 634
The Timing of Divorce: Predicting When a Couple Will Divorce Over a 14‐Year Period
Gottman, J. M., & LEVENSON, R. W. (2000) · Journal of Marriage and the Family · doi:10.1111/j.1741-3737.2000.00737.x · Cited by 633
Human Emotion Recognition: Review of Sensors and Methods
Dzedzickis, A., Kaklauskas, A., & Bučinskas, V. (2020) · Sensors · doi:10.3390/s20030592 · Cited by 628
The eNTERFACE’05 Audio-Visual Emotion Database
Martin, O., Kotsia, I., Macq, B., & Pitas, I. (2006) · 22nd International Conference on Data Engineering Workshops (ICDEW'06) · doi:10.1109/icdew.2006.145 · Cited by 615
Describing the emotional states that are expressed in speech
Cowie, R., & Cornelius, R. R. (2003) · Speech Communication · doi:10.1016/s0167-6393(02)00071-7 · Cited by 615
Facial expression of pain: An evolutionary account
Williams, A. C. D. C. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000080 · Cited by 612
The emergence of grammar: Systematic structure in a new language
Sandler, W., Meir, I., Padden, C. A., & Aronoff, M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0405448102 · Cited by 606
Panoptic Studio: A Massively Multiview System for Social Motion Capture
Joo, H., Liu, H., Tan, L., Gui, L., Nabbe, B. C., Matthews, I., Takeo Kanade, A., Nobuhara, S., & Sheikh, Y. A. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.381 · Cited by 605
Trickett, P. K., Noll, J. G., & Putnam, F. W. (2011) · Development and Psychopathology · doi:10.1017/s0954579411000174 · Cited by 601
Parental Socialization of Emotion Expression: Gender Differences and Relations to Child Adjustment.
Chaplin, T. M., Cole, P. M., & Zahn-Waxler, C. (2005) · Emotion · doi:10.1037/1528-3542.5.1.80 · Cited by 594
Reinforcement Learning Signal Predicts Social Conformity
Klucharev, V., Hytönen, K., Rijpkema, M., Smidts, A., & Fernández, G. (2009) · Neuron · doi:10.1016/j.neuron.2008.11.027 · Cited by 594
Eisenberg, N., Fabes, R. A., Murphy, B. C., Karbon, M., Maszk, P., Smith, M., O’Boyle, C., & Suh, K. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.66.4.776 · Cited by 590
Sociality of solitary smiling: Potentiation by an implicit audience.
Fridlund, A. J. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.60.2.229 · Cited by 584
Discovering hidden time patterns in behavior: T-patterns and their detection
Magnússon, M. S. (2000) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200792 · Cited by 582
Pantic, M., & Patras, I. (2006) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2005.859075 · Cited by 580
Groth, M., Hennig-Thurau, T., & Walsh, G. (2009) · Academy of Management Journal · doi:10.5465/amj.2009.44634116 · Cited by 580
Body, Psyche, and Culture: The Relationship between Disgust and Morality
Haidt, J., Rozin, P., Mccauley, C., & Imada, S. (1997) · Psychology and Developing Societies · doi:10.1177/097133369700900105 · Cited by 577
The computer expression recognition toolbox (CERT)
Littlewort, G. C., Whitehill, J., Wu, T., Fasel, I., Frank, M. G., Movellan, J. R., & Bartlett, M. S. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771414 · Cited by 571
Age Synthesis and Estimation via Faces: A Survey
Fu, Y., Guo, G., & Huang, T. S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.36 · Cited by 569
Human facial expressions as adaptations: Evolutionary questions in facial expression research
Schmidt, K. L., & Cohn, J. F. (2001) · American Journal of Physical Anthropology · doi:10.1002/ajpa.20001 · Cited by 560
Social and emotional messages of smiling: An ethological approach.
Kraut, R. E., & Johnston, R. E. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.9.1539 · Cited by 557
Behavioral markers and recognizability of the smile of enjoyment.
Frank, M. G., Ekman, P., & Friesen, W. V. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.1.83 · Cited by 555
Self-citationThe consistency of facial expressions of pain: a comparison across modalities
Prkachin, K. M. (1992) · Pain · doi:10.1016/0304-3959(92)90213-u · Cited by 553
A theory of marital dissolution and stability.
Gottman, J. M. (1993) · Journal of Family Psychology · doi:10.1037/0893-3200.7.1.57 · Cited by 548
Valstar, M., Gratch, J. S., Schuller, B. W., Ringeval, F., Lalanne, D., Torres, M. T., Scherer, S. J., Stratou, G., Cowie, R., & Pantić, M. (2016) · International Workshop on Audio/Visual Emotion Challenge (AVEC) · doi:10.1145/2988257.2988258 · Cited by 540
The relations of regulation and emotionality to problem behavior in elementary school children
Eisenberg, N., Fabes, R. A., Guthrie, I. K., Murphy, B. C., Maszk, P., Holmgren, R., & Suh, K. (1996) · Development and Psychopathology · doi:10.1017/s095457940000701x · Cited by 539
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
Poria, S., Cambria, E., Howard, N., Huang, G.-B., & Hussain, A. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.01.095 · Cited by 534
Tao, J., & Tan, T. (2005) · Lecture notes in computer science · doi:10.1007/11573548_125 · Cited by 531
Infants' perception of expressive behaviors: Differentiation of multimodal information.
Walker‐Andrews, A. S. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.121.3.437 · Cited by 530
Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527
The Development of Emotion Expression during the First Two Years of Life
Malatesta, C. Z., Culver, C., Tesman, J. R., Shepard, B., Fogel, A., Reimers, M., & Zivin, G. (1989) · Monographs of the Society for Research in Child Development · doi:10.2307/1166153 · Cited by 527
Kring, A. M., Smith, D. A., & Neale, J. M. (1994) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.66.5.934 · Cited by 525
A high-performance neuroprosthesis for speech decoding and avatar control
Metzger, S. L., Littlejohn, K. T., Silva, A. B., Moses, D. A., Seaton, M. P., Wang, R., Dougherty, M. E., Liu, J. R., Wu, P., Berger, M. A., et al. (2023) · Nature · doi:10.1038/s41586-023-06443-4 · Cited by 522
Moving faces, looking places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES).
van der Schalk, J., Hawk, S. T., Fischer, A. H., & Doosje, B. (2011) · Emotion · doi:10.1037/a0023853 · Cited by 521
Biehl, M. C., Matsumoto, D., Ekman, P., Hearn, V., Heider, K. G., Kudoh, T., & Ton, V. (1997) · Journal of Nonverbal Behavior · doi:10.1023/a:1024902500935 · Cited by 521
Self-citationAffective Learning — A Manifesto
Picard, R. W., Papert, S. A., Bender, W. R., Blumberg, B. M., Breazeal, C., Cavallo, D. P., Machover, T., Resnick, M., Roy, D. K., & Strohecker, C. (2004) · BT Technology Journal · doi:10.1023/b:bttj.0000047603.37042.33 · Cited by 518
Stokoe, W. C. (1980) · Annual Review of Anthropology · doi:10.1146/annurev.an.09.100180.002053 · Cited by 514
Basic emotions, rationality, and folk theory
Johnson-Laird, P. N., & Oatley, K. (1992) · Cognition & Emotion · doi:10.1080/02699939208411069 · Cited by 511
Metadata
- Authors
- Ekman, P., & Friesen, W. V.
- Venue
- PsycTESTS Dataset
- Published
- 1978
- OpenAlex
- W1588539311
- Cited by
- 6,019
- References
- 0
- Citations by year
- 2026: 288 · 2025: 447 · 2024: 367 · 2023: 379 · 2022: 314 · 2021: 204 · 2020: 218 · 2019: 195 · 2018: 227 · 2017: 199 · 2016: 244 · 2015: 233 · 2014: 214 · 2013: 208 · 2012: 174
- Type
- dataset
- Language
- en
- Open access
- closed
- Locations
- PsycTESTS Dataset (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- facial expressions, facial action units, emotion recognition, facial motion
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