Automatic facial expression analysis: a survey

Neural network-based face detection

Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554 · see citing works

Recognizing action units for facial expression analysis

Tian, Y.-I., Kanade, T., & Cohn, J. F. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908962 · Cited by 1,745 · see citing works

Automatic facial expression interpretation: Where human-computer interaction, artificial intelligence and cognitive science intersect

Lisetti, C. L., & Schiano, D. J. (2000) · Pragmatics & Cognition · doi:10.1075/pc.8.1.09lis · Cited by 189 · see citing works

Multimodal human emotion/expression recognition

Chen, L. S., Huang, T. S., Miyasato, T., & Nakatsu, R. (2002) · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1998.670976 · Cited by 183 · see citing works

Facial expression recognition based on Local Binary Patterns: A comprehensive study

Shan, C., Gong, S., & McOwan, P. W. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2008.08.005 · Cited by 2,300 · see citing works

A review of affective computing: From unimodal analysis to multimodal fusion

Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644 · see citing works

Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines

Kotsia, I., & Pitas, I. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884954 · Cited by 687 · see citing works

Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

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 · see citing works

A survey of video datasets for human action and activity recognition

Chaquet, J. M., Carmona, E. J., & Fernández-Caballero, A. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.01.013 · Cited by 455 · see citing works

Short-term emotion assessment in a recall paradigm

Chanel, G., Kierkels, J. J. M., Soleymani, M., & Pun, T. (2009) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.03.005 · Cited by 367 · see citing works

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

Kim, D. H., Baddar, W. J., Jang, J., & Ro, Y. M. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2695999 · Cited by 257 · see citing works

FERA 2015 - second Facial Expression Recognition and Analysis challenge

Valstar, M. F., Almaev, T., Girard, J. M., McKeown, G., Mehu, M., Yin, L., Pantic, M., & Cohn, J. F. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2015.7284874 · Cited by 252 · see citing works

Automatic Facial Expression Recognition Using Facial Animation Parameters and Multistream HMMs

Aleksic, P. S., & Katsaggelos, A. K. (2006) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2005.863510 · Cited by 235 · see citing works

Usability, user experience and accessibility: towards an integrative model

Sauer, J., Sonderegger, A., & Schmutz, S. (2020) · Ergonomics · doi:10.1080/00140139.2020.1774080 · Cited by 195 · see citing works

Facial Expression Recognition: A Survey

Huang, Y., Chen, F., Lv, S., & Wang, X. (2019) · Symmetry · doi:10.3390/sym11101189 · Cited by 195 · see citing works

Learning Race from Face: A Survey

Fu, S., He, H., & Hou, Z.-G. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2321570 · Cited by 178 · see citing works

Audio-visual emotion fusion (AVEF): A deep efficient weighted approach

Ma, Y., Hao, Y., Chen, M., Chen, J., Lu, P., & Košir, A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.06.003 · Cited by 155 · see citing works

A survey of affect recognition methods: audio, visual and spontaneous expressions

Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2007) · Proceedings of the 9th international conference on Multimodal interfaces · doi:10.1145/1322192.1322216 · Cited by 144 · see citing works

A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods

Pan, B., Hirota, K., Jia, Z., & Dai, Y. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126866 · Cited by 142 · see citing works

Automatic facial expression recognition on a single 3D face by exploring shape deformation

Gong, B., Wang, Y., Liu, J., & Tang, X. (2009) · Proceedings of the 17th ACM international conference on Multimedia · doi:10.1145/1631272.1631358 · Cited by 116 · see citing works

FaceTube: predicting personality from facial expressions of emotion in online conversational video

Biel, J.-I., Teijeiro-Mosquera, L., & Gatica-Perez, D. (2012) · Proceedings of the 14th ACM international conference on Multimodal interaction · doi:10.1145/2388676.2388689 · Cited by 104 · see citing works

Visual learning of texture descriptors for facial expression recognition in thermal imagery

Hernández, B., Olague, G., Hammoud, R., Trujillo, L., & Romero, E. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.012 · Cited by 97 · see citing works

Recognizing expressions from face and body gesture by temporal normalized motion and appearance features

Chen, S., Tian, Y., Liu, Q., & Metaxas, D. N. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.014 · Cited by 72 · see citing works

Comparison between deep learning models and traditional machine learning approaches for facial expression recognition in ageing adults

Caroppo, A., Leone, A., & Siciliano, P. (2020) · Journal of Computer Science and Technology · doi:10.1007/s11390-020-9665-4 · Cited by 60 · see citing works

Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities

Savran, A., Cao, H., Nenkova, A., & Verma, R. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2362101 · Cited by 53 · see citing works

Estimating smile intensity: A better way

Girard, J. M., Cohn, J. F., & De la Torre, F. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.10.004 · Cited by 44 · see citing works

A multimodal fuzzy inference system using a continuous facial expression representation for emotion detection

Soladié, C., Salam, H., Pelachaud, C., Stoiber, N., & Séguier, R. (2012) · Proceedings of the 14th ACM international conference on Multimodal interaction · doi:10.1145/2388676.2388782 · Cited by 33 · see citing works

A unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models

Zhao, X., Dellandréa, E., Zou, J., & Chen, L. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.10.001 · Cited by 27 · see citing works

Perception of emotional expressions in different representations using facial feature points

Afzal, S., Sezgin, T. M., Gao, Y., & Robinson, P. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349549 · Cited by 25 · see citing works

A Deep Structure for Facial Expression Recognition under Partial Occlusion

Cheng, Y., Jiang, B., & Jia, K. (2014) · 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing · doi:10.1109/iih-msp.2014.59 · Cited by 24 · see citing works

Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction

Sharifnejad, M., Shahbahrami, A., Akoushideh, A., & Hassanpour, R. Z. (2021) · IET Image Processing · doi:10.1049/ipr2.12037 · Cited by 19 · see citing works

Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines

Shimada, K., Noguchi, Y., & Kuria, T. (2013) · International Journal of Computer Theory and Engineering · doi:10.7763/ijcte.2013.v5.640 · Cited by 9 · see citing works