[1] Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality
- intro: University of Maryland 2021
- point: emotion understanding in University of Maryland
- paper: https://arxiv.org/pdf/2103.06541.pdf
- project: https://gamma.umd.edu/researchdirections/affectivecomputing/affect2mm/
Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
MGSampler: An Explainable Sampling Strategy for Video Action Recognition
Evidential Deep Learning for Open Set Action Recognition
Learning De-biased Representations with Biased Representations
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Emotion drives human behaviours (normal emotional gestures)
[1] Body Cues, Not Facial Expressions, Discriminate Between Intense Positive and Negative Emotions
- intro: Hillel Aviezer, nature 2012
- point: it's the strong support to our work, gestures can be better than facial expressions
- paper: https://www.paulekman.com/wp-content/uploads/2013/07/Are-There-Basic-Emotions1.pdf
[2] Bodily expression of emotion
- intro: Harald G. Wallbotts, European journal of social psychology, 1998
- point: Gestures to some degree are specific for certain emotions.
- paper: https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291099-0992%281998110%2928%3A6%3C879%3A%3AAID-EJSP901%3E3.0.CO%3B2-W
[3]Seeing Human Movement as Inherently Social
- intro: M. D. Kaiser, Areti Chouchourelou
- paper: https://www.semanticscholar.org/paper/Seeing-Human-Movement-as-Inherently-Social-Kaiser-Chouchourelou/6986fd9c2ac7ab11450253e20e256129bbab037b
[4]Do Bodily Expressions Compete with Facial Expressions? Time Course of Integration of Emotional Signals from the Face and the Body
- intro: plos one, 2013
- point: support our work
- paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0066762#s8
[5] Big Five OCEAN personality
- intro: five personalities
- point: support to MG
[6] Bodily expression of emotion
- intro: others indicate that movement behavior (aside from facial expression) may be only indicative of the quantity (intensity) of emotion, but not of its quality
- https://www.researchgate.net/publication/279936881_Bodily_expression_of_emotion
- body expression is more of intensity, not quality
Micro gestures (different from normal emotional gestures)
[1] What Every BODY is Saying: An Ex-FBI Agent's Guide to Speed-Reading People
- intro: Joe Navarro, Marvin Karlins, 2009
- point: It's where our micro-gesture definition comes from
- paper: https://books.google.nl/books?id=IUFQM-6OFEsC
[2] The Gift of Fear: Survival Signals That Protect Us from Violence
- intro: Dell Publishing 1997
- point: The scientific reason behind the micro-gestures
- paper: https://en.wikipedia.org/wiki/The_Gift_of_Fear
[3] Honest Signals: How They Shape Our World
- intro: MIT 2008
- point: Read hidden emotion via body language.
- paper: https://books.google.nl/books/about/Honest_Signals.html?id=Zt88mwEACAAJ&redir_esc=y
[4] Who can catch a liar?
- intro: 2013, Ekman group
- point: Deception via body language.
- paper: https://psycnet.apa.org/record/1992-05387-001
[5] Body Language For Dummies
- intro: 2015, Elizabeth Kuhnke
- point: Reading body language.
- paper: https://www.wiley.com/en-us/Body+Language+For+Dummies%2C+3rd+Edition-p-9781119067399
[6] Put Your Best Foot Forward: Make a Great Impression by Taking Control of How Others See You
- intro: 2002, Jo-Ellan Dimitrius, Mark Mazzarella
- point: implementation of MG.
[7] The Book of Tells : from the Bedroom to the Boardroom : how to Read Other People
- intro: Peter Collett, 2005
- point: implementation of MG.
[1] Survey on Emotional Body Gesture Recognition
- intro: Transactions on Affective Computing, 2018
- point: most detailed one
- paper: https://arxiv.org/pdf/1801.07481.pdf
[2] Artificial (Emotional) Intelligence
- intro: basic overview, Marina Krakovsky, Communications of the ACM
- paper: https://m-cacm.acm.org/magazines/2018/4/226375-artificial-emotional-intelligence/fulltext?mobile=true
[3] Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation
- intro: Transactions on Affective Computing, 2013, Michelle Karg
- highlight: Directions for Future Work
- paper: https://www.researchgate.net/publication/260946141_Body_Movements_for_Affective_Expression_A_Survey_of_Automatic_Recognition_and_Generation
[4] Affective Body Expression Perception and Recognition: A Survey
- intro: Transactions on Affective Computing, 2013, Andrea Kleinsmith
- point: listed all the feature details
- paper: https://ieeexplore.ieee.org/document/6212434
[1] Recognizing emotions expressed by body pose: A biologically inspired neural model
- intro: Neural Networks 2008, KonradSchindle
- point: from a decent group
- paper: http://www.beatricedegelder.com/documents/schindl09.pdf
[2] : Emotion Expression in Body Action and Posture
- intro: Emotion 2011.
- point: University of Geneva (they publish a classical but old dataset) with this method
- paper: https://www.researchgate.net/publication/51780012_Emotion_Expression_in_Body_Action_and_Posture
[3] : Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities
- intro: Emotion 2011.
- point: University of Geneva (they publish a classical but old dataset) with this method
- paper: https://www.researchgate.net/publication/51780012_Emotion_Expression_in_Body_Action_and_Posture
more state-of-the-art methods please see: https://smartblogchen.wordpress.com/2019/01/29/rgb-action-recognition-baseline/
[1] ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild
- intro: IJCV, bigest dataset
- paper: https://arxiv.org/pdf/1808.09568.pdf
- project: http://cydar.ist.psu.edu/conference/BEEU2020/
[2] Analyze Spontaneous Gestures for Emotional Stress State Recognition: A Micro-gesture Dataset and Analysis with Deep Learning
- intro: our own dataset, first micro gesture dataset
- paper: http://jultika.oulu.fi/files/nbnfi-fe202003248953.pdf
[3] Detection of Deception in the Mafia Party Game
- intro: 2015. game setting is similar to our own dataset
- paper: https://dl.acm.org/doi/10.1145/2818346.2820745
[4] Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning
- intro: Psychol., 2017. which is similar to our own dataset
- paper: https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01303/full
[5] Automatic Recognition of Non-Acted Affective Postures
- intro: 2011 transactions on systems, man, and cybernetics.
- point: Non-Acted Affective Postures, a relative old one
- paper(original one is in IEEE): https://www.keer.org/keer2010/Papers/1964.pdf
[6] Bi-modal Emotion Recognition from Expressive Face and Body Gestures
- intro: Hatice Gunes, classical but old dataset
- paper: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1028.3325&rep=rep1&type=pdf
[7] : Emotion Expression in Body Action and Posture
- intro: Emotion 2011.
- point: University of Geneva (they publish a classical but old dataset)
- project: https://www.researchgate.net/publication/51780012_Emotion_Expression_in_Body_Action_and_Posture
[1] Basic dimensions for a general psychological theory : implications for personality, social, environmental, and developmental studies
- intro: taking personalities, social background and others into account
- paper(cannot find original one): http://www.communicationcache.com/uploads/1/0/8/8/10887248/handbook_of_psychology_volume_5_personality_and_social_psychology_2003.pdf
[2] Personality: a psychological and metaphysical problem
- intro: personality
- paper: https://philpapers.org/rec/BARPAP-15
[3] Cross-cultural differences in recognizing affect from body posture.
- intro: Culture difference based
- paper: https://www.sciencedirect.com/science/article/abs/pii/S0953543806000634
[4] Emotion recognition in context
- intro: CVPR 2017 context based
- paper: https://openaccess.thecvf.com/content_cvpr_2017/html/Kosti_Emotion_Recognition_in_CVPR_2017_paper.html
[1] Are There Basic Emotions?
- intro: Paul Ekman Group (the master in emotion field),1992
- paper: https://www.paulekman.com/wp-content/uploads/2013/07/Are-There-Basic-Emotions1.pdf
[2] Paul Ekman Group papers, all about emotions
[3] Good showcases of using MG
- Youtube link: https://www.youtube.com/watch?v=lj7QRP37Wn0&t=3031s
- Youtube link: https://www.youtube.com/watch?v=MNWEuXg22CM
- Youtube link: https://www.youtube.com/watch?v=HVjaePXSopY
- Youtube link: https://www.youtube.com/watch?v=jln82IyG1G8
[4] Deep Neural Network Augmentation: Generating Faces for Affect Analysis
- Enhance the emotion recognition with augmented generated data
Attribution emotion Psychology theopy/yound old version emotional Alter ego/mirror/self regularization Understanding by iteration cognition psychology explore outer ego oxford hand book of ac mirror instand of recognition emotion and well being resilence mindfulness,
Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling Residual Attention: A Simple but Effective Method for Multi-Label Recognition MGSampler: An Explainable Sampling Strategy for Video Action Recognition Evidential Deep Learning for Open Set Action Recognition Learning De-biased Representations with Biased Representations Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations RDI-Net: Relational Dynamic Inference Networks Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack EAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis Emotion Recognition for Multiple Context Awareness S2-VER: Semi-Supervised Visual Emotion Recognition Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
pami Recognizing action units for facial expression analysis Coupled Gaussian processes for pose-invariant facial expression recognition Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions Classification of Complex Information: Inference of Co-Occurring Affective States from Their Expressions in Speech CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms Discriminant Functional Learning of Color Features for the Recognition of Facial Action Units and Their Intensities Brain-Machine Coupled Learning Method for Facial Emotion Recognition Emotional Attention: From Eye Tracking to Computational Modeling A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding Emotion recognition based on physiological changes in music listening Toward machine emotional intelligence: analysis of affective physiological state A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions Context Based Emotion Recognition Using EMOTIC Dataset Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap Nonlinear Regression via Deep Negative Correlation Learning Toward machine emotional intelligence: analysis of affective physiological state Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild Affective Image Content Analysis: Two Decades Review and New Perspectives Classification of Complex Information: Inference of Co-Occurring Affective States from Their Expressions in Speech
| Updated: 2023/09/27 |
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