22.3.6.2.2 Emotion Recognition, Survey, General, Review, Datasets, Database

Chapter Contents (Back)
Emotion Recognition. Survey, Emotion Recognition.

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.

Evoked Expressions in Video (EEV) Dataset,
2021
WWW Link. Novel dataset collected using reaction videos, to study facial expressions variations as viewers watch the video

OMG-Emotion (One-Minute Gradual-Emotional Behavior),
2018
WWW Link. Dataset, Emotion Recognition. Developed for a challenge. 500+ 1 minute emotion videos.

Coan, J.A., Allen, J.B., eds.,
The Handbook of Emotion Elicitation and Assessment,
Oxford University Press2006. Indexed as: BibRef 0600 EmotionElicitation06 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

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

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

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

Provost, E.M.[Emily Mower], Yuan, S.G.[Shang-Guan], Busso, C.[Carlos],
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

Wei, Q.L.[Qing-Lan], Sun, B.[Bo], He, J.[Jun], Yu, L.J.[Le-Jun],
BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels,
SP:IC(59), No. 1, 2017, pp. 168-181.
Elsevier DOI 1711
Multimodal BibRef

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

Zhalehpour, S., Onder, O., Akhtar, Z., Erdem, C.E.,
BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States,
AffCom(8), No. 3, July 2017, pp. 300-313.
IEEE DOI 1709
Affective computing, Cameras, Databases, Emotion recognition, Face, Face recognition, Facial expression recognition, affective computing, audio-visual affective database, dynamic facial expression database, emotion recognition from speech, emotional corpora, mental state recognition, spontaneous, expressions BibRef

Yan, J.J.[Jing-Jie], Wang, B.[Bei], Liang, R.Y.[Rui-Yu],
A Novel Bimodal Emotion Database from Physiological Signals and Facial Expression,
IEICE(E101-D), No. 7, July 2018, pp. 1976-1979.
WWW Link. 1807
Dataset, Emotions. BibRef

Lee, J.Y.[Ji-Young], Kim, S.R.[Seung-Ryong], Kim, S.[Sunok], Park, J.[Jungin], Sohn, K.H.[Kwang-Hoon],
Context-Aware Emotion Recognition Networks,
ICCV19(10142-10151)
IEEE DOI 2004
Dataset, Emotion Recognition.
WWW Link. emotion recognition, face recognition, feature extraction, image fusion, neural nets, visual scene, boosting manner, Adaptive systems BibRef

Kollias, D.[Dimitrios], Tzirakis, P.[Panagiotis], Nicolaou, M.A.[Mihalis A.], Papaioannou, A.[Athanasios], Zhao, G.Y.[Guo-Ying], Schuller, B.[Björn], Kotsia, I.[Irene], Zafeiriou, S.P.[Stefanos P.],
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond,
IJCV(127), No. 6-7, June 2019, pp. 907-929.
Springer DOI 1906
BibRef
Earlier: A1, A3, A7, A5, A8, Only:
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.], Kollias, D.[Dimitrios], 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

Kosti, R.[Ronak], Alvarez, J.M.[Jose M.], Recasens, A.[Adria], Lapedriza, A.[Agata],
Context Based Emotion Recognition Using EMOTIC Dataset,
PAMI(42), No. 11, November 2020, pp. 2755-2766.
IEEE DOI 2010
Emotion recognition, Databases, Face, Face recognition, Observers, affective computing, pattern recognition BibRef
Earlier:
Emotion Recognition in Context,
CVPR17(1960-1968)
IEEE DOI 1711
BibRef
Earlier:
EMOTIC: Emotions in Context Dataset,
DeepAffective17(2309-2317)
IEEE DOI 1709
Databases, Distance measurement, Emotion recognition, Face, Face recognition, Image, recognition BibRef

Basile, V.[Valerio], Novielli, N.[Nicole], Croce, D.[Danilo], Barbieri, F.[Francesco], Nissim, M.[Malvina], Patti, V.[Viviana],
Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges,
AffCom(12), No. 2, April 2021, pp. 466-478.
IEEE DOI 2106
Task analysis, Standards, Sentiment analysis, Gold, Social network services, Training, Sentiment analysis, evaluation BibRef

Rouast, P.V.[Philipp V.], Adam, M.T.P.[Marc T. P.], Chiong, R.[Raymond],
Deep Learning for Human Affect Recognition: Insights and New Developments,
AffCom(12), No. 2, April 2021, pp. 524-543.
IEEE DOI 2106
Deep learning, Computer architecture, Biological neural networks, Emotion recognition, Training, Human computer interaction, human-computer interaction BibRef

Ong, D.C.[Desmond C.], Soh, H.[Harold], Zaki, J.[Jamil], Goodman, N.D.[Noah D.],
Applying Probabilistic Programming to Affective Computing,
AffCom(12), No. 2, April 2021, pp. 306-317.
IEEE DOI 2106
Computational modeling, Probabilistic logic, Programming, Object oriented modeling, Cognition, Psychology, modeling human emotion BibRef

Cañamero, L.[Lola],
Embodied Robot Models for Interdisciplinary Emotion Research,
AffCom(12), No. 2, April 2021, pp. 340-351.
IEEE DOI 2106
Robots, Computational modeling, Biological system modeling, Cognition, Brain modeling, Analytical models, Neuroscience, interdisciplinary research BibRef

Ong, D.C.[Desmond C.], Wu, Z.X.[Zheng-Xuan], Tan, Z.X.[Zhi-Xuan], Reddan, M.[Marianne], Kahhale, I.[Isabella], Mattek, A.[Alison], Zaki, J.[Jamil],
Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset,
AffCom(12), No. 3, July 2021, pp. 579-594.
IEEE DOI 2109
Dataset, Emotion. Computational modeling, Hidden Markov models, Affective computing, Biological system modeling, Videos, emotional corpora BibRef

McDuff, D.[Daniel], Jun, E.[Eunice], Rowan, K.[Kael], Czerwinski, M.[Mary],
Longitudinal Observational Evidence of the Impact of Emotion Regulation Strategies on Affective Expression,
AffCom(12), No. 3, July 2021, pp. 636-647.
IEEE DOI 2109
Regulation, Tools, Software, Atmospheric measurements, Particle measurements, Mood, Emotion regulation, longitudinal, gender BibRef

Puviani, L.[Luca], Rama, S.[Sidita], Vitetta, G.M.[Giorgio Matteo],
A Mathematical Description of Emotional Processes and Its Potential Applications to Affective Computing,
AffCom(12), No. 3, July 2021, pp. 692-706.
IEEE DOI 2109
Mathematical model, Neuroscience, Heuristic algorithms, Affective computing, Emotion recognition, Machine learning, Bayesian inference BibRef

Sun, X.[Xiao], Pei, Z.M.[Zheng-Meng], Zhang, C.[Chen], Li, G.Q.[Guo-Qiang], Tao, J.H.[Jian-Hua],
Design and Analysis of a Human-Machine Interaction System for Researching Human's Dynamic Emotion,
SMCS(51), No. 10, October 2021, pp. 6111-6121.
IEEE DOI 2109
Heuristic algorithms, Hidden Markov models, Robots, Sun, Vehicle dynamics, Task analysis, Deep learning, Emotional guidance, Markov chain Monte Carlo BibRef

Aranha, R.V.[Renan Vinicius], Corrêa, C.G.[Cléber Gimenez], Nunes, F.L.S.[Fátima L. S.],
Adapting Software with Affective Computing: A Systematic Review,
AffCom(12), No. 4, October 2021, pp. 883-899.
IEEE DOI 2112
Emotion recognition, Computer applications, Protocols, Systematics, Affective computing, Affective computing, affective adaptation BibRef

Okamoto, S.[Shogo], Ehara, Y.[Yuki], Okada, T.[Takumu], Yamada, Y.[Yoji],
Affective Dynamics: Principal Motion Analysis of Temporal Dominance of Sensations and Emotions Data,
AffCom(13), No. 2, April 2022, pp. 871-880.
IEEE DOI 2206
Food products, Semantics, Task analysis, Principal component analysis, Graphical user interfaces, semantic differential method BibRef

Zhao, S.C.[Si-Cheng], Yao, X.X.[Xing-Xu], Yang, J.F.[Ju-Feng], Jia, G.[Guoli], Ding, G.[Guiguang], Chua, T.S.[Tat-Seng], Schuller, B.W.[Björn W.], Keutzer, K.[Kurt],
Affective Image Content Analysis: Two Decades Review and New Perspectives,
PAMI(44), No. 10, October 2022, pp. 6729-6751.
IEEE DOI 2209
Feature extraction, Semantics, Emotion recognition, Affective computing, Physiology, Noise measurement, Visualization, emotional intelligence BibRef

Cao, W.[Wei], Zhang, K.[Kun], Ruan, S.[Shulan], Tao, H.Q.[Han-Qing], Zhao, S.[Sirui], Wang, H.[Hao], Liu, Q.[Qi], Chen, E.[Enhong],
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction,
AffCom(13), No. 4, October 2022, pp. 1743-1758.
IEEE DOI 2212
Task analysis, Semantics, Correlation, Deep learning, Linguistics, Data mining, Cognition, Emotion cause extraction, causal narrative, semantics understanding BibRef

Devi, B.[Bhagyashri], Preetha, M.M.S.J.[M. Mary Synthuja Jain],
A Descriptive Survey on Face Emotion Recognition Techniques,
IJIG(23), No. 1 2023, pp. 2350008.
DOI Link 2302
Survey, Emotions. BibRef

Veltmeijer, E.A.[Emmeke A.], Gerritsen, C.[Charlotte], Hindriks, K.V.[Koen V.],
Automatic Emotion Recognition for Groups: A Review,
AffCom(14), No. 1, January 2023, pp. 89-107.
IEEE DOI 2303
Emotion recognition, Visualization, Systematics, Sentiment analysis, Mood, Media, Group emotion review, sentiment analysis BibRef

Hoorn, J.F.[Johan F.], Baier, T.[Thomas], van Maanen, J.[Jeroen], Wester, J.[Jeroen],
Silicon Coppélia and the Formalization of the Affective Process,
AffCom(14), No. 1, January 2023, pp. 255-278.
IEEE DOI 2303
Robots, Silicon, Appraisal, Affordances, Legged locomotion, Games, Ethics, Affect, modeling, goal-driven robots, fuzzy algorithms BibRef

Ma, H.W.[Hai-Wei], Yarosh, S.[Svetlana],
A Review of Affective Computing Research Based on Function-Component-Representation Framework,
AffCom(14), No. 2, April 2023, pp. 1655-1674.
IEEE DOI 2306
Emotion recognition, Affective computing, Encoding, Systematics, Physiology, Databases, Computational modeling, Affective computing, framework BibRef

Zhang, Y.L.[Yu-Lin], Zhao, G.Z.[Guo-Zhen], Shu, Y.[Yezhi], Ge, Y.[Yan], Zhang, D.[Dan], Liu, Y.J.[Yong-Jin], Sun, X.H.[Xiang-Hong],
CPED: A Chinese Positive Emotion Database for Emotion Elicitation and Analysis,
AffCom(14), No. 2, April 2023, pp. 1417-1430.
IEEE DOI 2306
Emotion recognition, Databases, Feature extraction, Electroencephalography, Physiology, Motion pictures, GSR BibRef

Zhang, K.[Kejun], Wu, X.[Xinda], Xie, X.H.[Xin-Hang], Zhang, X.R.[Xiao-Ran], Zhang, H.[Hui], Chen, X.Y.[Xiao-Yu], Sun, L.Y.[Ling-Yun],
Werewolf-XL: A Database for Identifying Spontaneous Affect in Large Competitive Group Interactions,
AffCom(14), No. 2, April 2023, pp. 1201-1214.
IEEE DOI 2306
Databases, Emotion recognition, Annotations, Games, Sun, Physiology, Observers, Emotional corpora, affective computing, human-computer interaction BibRef

Seuss, D.[Dominik], Hassan, T.[Teena], Dieckmann, A.[Anja], Unfried, M.[Matthias], Scherer, K.R.[Klaus R.], Mortillaro, M.[Marcello], Garbas, J.[Jens],
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals,
AffCom(14), No. 2, April 2023, pp. 1188-1200.
IEEE DOI 2306
Gold, Faces, Feature extraction, Appraisal, Encoding, Training, Emotion recognition, Action unit detection, emotion inference, Gaussian state estimation BibRef

Can, Y.S.[Yekta Said], Mahesh, B.[Bhargavi], André, E.[Elisabeth],
Approaches, Applications, and Challenges in Physiological Emotion Recognition: A Tutorial Overview,
PIEEE(111), No. 10, October 2023, pp. 1287-1313.
IEEE DOI 2310
BibRef

Wu, J.Y.[Jing-Yao], Dang, T.[Ting], Sethu, V.[Vidhyasaharan], Ambikairajah, E.[Eliathamby],
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information,
AffCom(14), No. 3, July 2023, pp. 2089-2101.
IEEE DOI 2310
BibRef

Wu, W.[Wen], Zhang, C.[Chao], Wu, X.X.[Xi-Xin], Woodland, P.C.[Philip C.],
Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors,
AffCom(14), No. 4, October 2023, pp. 2810-2822.
IEEE DOI 2312
BibRef

van Haeringen, E.S.[Erik Stefan], Veltmeijer, E.A.[Emmeke Anna], Gerritsen, C.[Charlotte],
Empirical Validation of an Agent-Based Model of Emotion Contagion,
AffCom(15), No. 1, January 2024, pp. 273-284.
IEEE DOI 2403
Emotion recognition, Annotations, Reliability, Particle measurements, Media, Ethics, Data models, Emotion contagion, validation BibRef


Shukla, J.[Jainendra], Gupta, P.[Puneet], Bera, A.[Aniket], Sarkar, A.[Arka], Goel, P.[Prakhar], Butta, S.[Shubhangi], Gupta, A.K.[Anup Kumar], Sanyal, S.[Snehil], Neog, D.R.[Debanga Rai], Bhuyan, M.K., Marathe, K.[Kalyani], Shapiro, L.G.[Linda G.], Colbrn, A.[Alex], Lalwani, V.[Varchita],
Contextual Emotion Learning Challenge,
FG21(1-7)
IEEE DOI 2303
Emotion recognition, Face recognition, Gesture recognition, Switches, Task analysis BibRef

Lin, W.Q.[Wen-Qian], Zhang, Y.J.[Yun-Jian],
Review of Researches on the Emotion Recognition and Affective Computing Based on HCI,
ICIVC22(573-578)
IEEE DOI 2301
Computer science, Emotion recognition, Affective computing, Image recognition, Education, Entertainment industry, review BibRef

Gebele, J.[Jens], Brune, P.[Philipp], Faußer, S.[Stefan],
Face Value: On the Impact of Annotation (In-)Consistencies and Label Ambiguity in Facial Data on Emotion Recognition,
ICPR22(2597-2604)
IEEE DOI 2212
Emotion recognition, Image resolution, Image recognition, Annotations, Image databases, Face recognition, Data integrity, Data Quality BibRef

Vu, M.T.[Manh Tu], Beurton-Aimar, M.[Marie], Marchand, S.[Serge],
Multitask Multi-database Emotion Recognition,
ABAW21(3630-3637)
IEEE DOI 2112
Training, Deep learning, Knowledge engineering, Emotion recognition, Correlation, Databases, Estimation BibRef

Qing, L.[Linbo], Li, L.[Lindong], Xu, S.[Shengyu], Huang, Y.[Yibo], Liu, M.[Mei], Jin, R.[Rulong], Liu, B.[Bo], Niu, T.[Tong], Wen, H.Q.[Hong-Qian], Wang, Y.C.[Yu-Chen], Jiang, X.[Xue], Peng, Y.H.[Yong-Hong],
Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research,
ABAW21(3611-3620)
IEEE DOI 2112
Human computer interaction, Emotion recognition, Correlation, Computational modeling, Buildings BibRef

Kollias, D.[Dimitrios], Zafeiriou, S.P.[Stefanos P.],
Analysing Affective Behavior in the second ABAW2 Competition,
ABAW21(3645-3653)
IEEE DOI 2112
Measurement, Databases, Face recognition, Estimation, Gesture recognition BibRef

Yan, W.J.[Wen-Jing], Li, S.[Shan], Que, C.T.[Cheng-Tao], Pei, J.Q.[Ji-Quan], Deng, W.H.[Wei-Hong],
RAF-AU Database: In-the-wild Facial Expressions with Subjective Emotion Judgement and Objective Au Annotations,
ACCV20(VI:68-82).
Springer DOI 2103
BibRef

Vicol, P.[Paul], Tapaswi, M.[Makarand], Castrejón, L.[Lluís], Fidler, S.[Sanja],
MovieGraphs: Towards Understanding Human-Centric Situations from Videos,
CVPR18(8581-8590)
IEEE DOI 1812

WWW Link. Dataset, Gestures. Videos of social situations to teach robots to understand people. Videos, Motion pictures, Semantics, Natural languages, Face, Automobiles, Legged locomotion BibRef

Panda, R.[Rameswar], Zhang, J.M.[Jian-Ming], Li, H.X.[Hao-Xiang], Lee, J.Y.[Joon-Young], Lu, X.[Xin], Roy-Chowdhury, A.K.[Amit K.],
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias,
ECCV18(II: 594-612).
Springer DOI 1810
BibRef

Balouchian, P., Foroosh, H.[Hassan],
Context-Sensitive Single-Modality Image Emotion Analysis: A Unified Architecture from Dataset Construction to CNN Classification,
ICIP18(1932-1936)
IEEE DOI 1809
Emotion recognition, Training, Visualization, Context modeling, Single-Modality Classification BibRef

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

Wang, W.N.[Wei-Ning], He, Q.H.[Qian-Hua],
A survey on emotional semantic image retrieval,
ICIP08(117-120).
IEEE DOI 0810
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, Body Gestures, Body Language .


Last update:Mar 25, 2024 at 16:07:51