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Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences

https://doi.org/10.1109/tsmcb.2005.859075
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Robust Statistics
inferredcites →https://doi.org/10.1007/3-540-47969-4_43openalex-snapshot
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
inferredcites →https://doi.org/10.1007/3-540-47969-4_44openalex-snapshot
Color-Based Probabilistic Tracking
inferredcites →https://doi.org/10.1007/bf00995644openalex-snapshot
Watching people talk about their emotions: Inferences in response to full-face vs. profile expressions
inferredcites →https://doi.org/10.1007/bfb0055711openalex-snapshot
Icondensation: Unifying low-level and high-level tracking in a stochastic framework
inferredcites →https://doi.org/10.1016/0031-3203(81)90008-xopenalex-snapshot
Machine identification of human faces
inferredcites →https://doi.org/10.1016/b978-012464995-8/50022-4openalex-snapshot
Facial Expressions of Emotion and Personality
inferredcites →https://doi.org/10.1016/s0010-0277(97)00003-6openalex-snapshot
Facial expression megamix: Tests of dimensional and category accounts of emotion recognition
inferredcites →https://doi.org/10.1016/s0042-6989(03)00079-8openalex-snapshot
Matching expression variant faces
inferredcites →https://doi.org/10.1016/s0262-8856(00)00034-2openalex-snapshot
Expert system for automatic analysis of facial expressions
inferredcites →https://doi.org/10.1016/s0952-1976(97)89066-5openalex-snapshot
Fuzzy expert system tools
inferredcites →https://doi.org/10.1016/s1077-3142(03)00081-xopenalex-snapshot
Facial expression recognition from video sequences: temporal and static modeling
inferredcites →https://doi.org/10.1017/cbo9780511569937.012openalex-snapshot
Looking at People in Action – An Overview
inferredcites →https://doi.org/10.1017/cbo9780511659911openalex-snapshot
The Psychology of Facial Expression
inferredcites →https://doi.org/10.1017/s0048577299971184openalex-snapshot
Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding
inferredcites →https://doi.org/10.1017/s0048577299971664openalex-snapshot
Measuring facial expressions by computer image analysis
inferredcites →https://doi.org/10.1023/a:1007977618277openalex-snapshot
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
inferredcites →https://doi.org/10.1023/a:1008078328650openalex-snapshot
CONDENSATION—Conditional Density Propagation for Visual Tracking
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A Probabilistic Exclusion Principle for Tracking Multiple Objects
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What's basic about basic emotions?
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The expression of the emotions in man and animals.
inferredcites →https://doi.org/10.1037/t27734-000openalex-snapshot
Facial Action Coding System
inferredcites →https://doi.org/10.1080/01621459.1999.10474153openalex-snapshot
Filtering via Simulation: Auxiliary Particle Filters
inferredcites →https://doi.org/10.1093/oso/9780195126013.003.0022openalex-snapshot
Facial Expression Of Emotion
inferredcites →https://doi.org/10.1109/34.598232openalex-snapshot
Coding, analysis, interpretation, and recognition of facial expressions
inferredcites →https://doi.org/10.1109/34.799905openalex-snapshot
Classifying facial actions
inferredcites →https://doi.org/10.1109/34.817413openalex-snapshot
Automatic classification of single facial images
inferredcites →https://doi.org/10.1109/34.895976openalex-snapshot
Automatic analysis of facial expressions: the state of the art
inferredcites →https://doi.org/10.1109/34.908962openalex-snapshot
Recognizing action units for facial expression analysis
inferredcites →https://doi.org/10.1109/78.978374openalex-snapshot
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
inferredcites →https://doi.org/10.1109/afgr.2000.840611openalex-snapshot
Comprehensive database for facial expression analysis
inferredcites →https://doi.org/10.1109/afgr.2002.1004168openalex-snapshot
Model-based face tracking for view-independent facial expression recognition
inferredcites →https://doi.org/10.1109/cvpr.1998.698685openalex-snapshot
Connected vibrations: a modal analysis approach for non-rigid motion tracking
inferredcites →https://doi.org/10.1109/cvpr.2004.1315259openalex-snapshot
Local facial asymmetry for expression classification
inferredcites →https://doi.org/10.1109/iccv.2001.937587openalex-snapshot
Occlusion robust adaptive template tracking
inferredcites →https://doi.org/10.1109/iccv.2001.937590openalex-snapshot
A co-inference approach to robust visual tracking
inferredcites →https://doi.org/10.1109/icip.1997.638829openalex-snapshot
Recognizing multiple persons' facial expressions using HMM based on automatic extraction of significant frames from image sequences
inferredcites →https://doi.org/10.1109/icme.2001.1237778openalex-snapshot
Dynamics of facial expression: normative characteristics and individual differences
inferredcites →https://doi.org/10.1109/icme.2002.1035712openalex-snapshot
Facial action recognition in face profile image sequences
inferredcites →https://doi.org/10.1109/icme.2004.1394122openalex-snapshot
Temporal modeling of facial actions from face profile image sequences
inferredcites →https://doi.org/10.1109/icme.2005.1521424openalex-snapshot
Web-Based Database for Facial Expression Analysis
inferredcites →https://doi.org/10.1109/icsmc.2004.1398364openalex-snapshot
Machine learning methods for fully automatic recognition of facial expressions and facial actions
inferredcites →https://doi.org/10.1109/icsmc.2004.1398371openalex-snapshot
Motion history for facial action detection in video
inferredcites →https://doi.org/10.1109/icsmc.2005.1571392openalex-snapshot
Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boosted Classifiers
inferredcites →https://doi.org/10.1109/jproc.2003.817122openalex-snapshot
Toward an affect-sensitive multimodal human-computer interaction
inferredcites →https://doi.org/10.1109/jproc.2003.823140openalex-snapshot
Special Issue on Sequential State Estimation
inferredcites →https://doi.org/10.1109/tpami.2002.1008382openalex-snapshot
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
inferredcites →https://doi.org/10.1109/tsmcb.2004.825931openalex-snapshot
Facial Action Recognition for Facial Expression Analysis From Static Face Images
inferredcites →https://doi.org/10.1145/1101149.1101299openalex-snapshot
Affective multimodal human-computer interaction
inferredcites →https://doi.org/10.4018/978-1-59140-561-0.ch044openalex-snapshot
Face for Interface
inferredcites →https://doi.org/10.4135/9781483381411.n178openalex-snapshot
Facial Action Coding System
inferredcites →https://doi.org/10.4324/9781315080918-15openalex-snapshot
Communication Without Words
inferredcites →https://doi.org/10.7208/chicago/9780226220802.001.0001openalex-snapshot
The Expression of the Emotions in Man and Animals

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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CNN based Facial Expression Recognition System
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Visual Emotion Recognition: Status and Key Issues
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Bodily Expression for Automatic Affect Recognition
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Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition
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Emotion Recognition from Facial Expressions Using Type‐2 Fuzzy Sets
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Emotion Recognition from Non‐Frontal Facial Images
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Behaviour in Context
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From Monomodal to Multimodal: Affect Recognition Using Visual Modalities
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Identity-Enhanced Network for Facial Expression Recognition
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Effective Facial Expression Recognition Through Multimodal Imaging for Traumatic Brain Injured Patient’s Rehabilitation
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View-Constrained Latent Variable Model for Multi-view Facial Expression Classification
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Facial Expression Recognition Based on Hybrid Approach
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Emotion Effects on Online Learning
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Landmark-Based Histograms of Oriented Gradients for Facial Emotion Recognition
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Emotion Recognition from Facial Expressions of 4D Videos Using Curves and Surface Normals
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A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition
inferred← citeshttps://doi.org/10.1016/j.csbr.2025.100058openalex-snapshot
EmoPulse: Unveiling Real-Time Mental Health through Facial Expression and Psychometrics
inferred← citeshttps://doi.org/10.1016/j.cviu.2010.12.001openalex-snapshot
Local binary patterns for multi-view facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.displa.2022.102330openalex-snapshot
The decadal perspective of facial emotion processing and Recognition: A survey
inferred← citeshttps://doi.org/10.1016/j.dr.2024.101118openalex-snapshot
Dynamical systems organization of the behavioral process in child development: Outlining ascending visual information from the retina to the frontal cortex in the context of face perceptions
inferred← citeshttps://doi.org/10.1016/j.engappai.2012.09.002openalex-snapshot
Facial expression recognition using tracked facial actions: Classifier performance analysis
inferred← citeshttps://doi.org/10.1016/j.engappai.2013.11.005openalex-snapshot
Ant Colony Estimator: An intelligent particle filter based on
inferred← citeshttps://doi.org/10.1016/j.engappai.2014.11.002openalex-snapshot
Using multiple steerable filters and Bayesian regularization for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.engappai.2015.03.016openalex-snapshot
Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.07.074openalex-snapshot
Fusion of feature sets and classifiers for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2014.08.042openalex-snapshot
Adaptive 3D facial action intensity estimation and emotion recognition
inferred← citeshttps://doi.org/10.1016/j.fiae.2015.11.005openalex-snapshot
A Type-2 Approach in Emotion Recognition and an Extended Type-2 Approach for Emotion Detection
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2007.10.011openalex-snapshot
Real-time classification of evoked emotions using facial feature tracking and physiological responses
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2018.01.010openalex-snapshot
Bodily sensation maps: Exploring a new direction for detecting emotions from user self-reported data
inferred← citeshttps://doi.org/10.1016/j.imavis.2008.08.005openalex-snapshot
Facial expression recognition based on Local Binary Patterns: A comprehensive study
inferred← citeshttps://doi.org/10.1016/j.imavis.2008.11.007openalex-snapshot
Social signal processing: Survey of an emerging domain
inferred← citeshttps://doi.org/10.1016/j.imavis.2009.05.007openalex-snapshot
The painful face – Pain expression recognition using active appearance models
inferred← citeshttps://doi.org/10.1016/j.imavis.2009.10.003openalex-snapshot
Modelling human perception of static facial expressions
inferred← citeshttps://doi.org/10.1016/j.imavis.2011.03.003openalex-snapshot
A survey on image-based continuum-body motion estimation
inferred← citeshttps://doi.org/10.1016/j.imavis.2012.01.006openalex-snapshot
Recognition of 3D facial expression dynamics
inferred← citeshttps://doi.org/10.1016/j.imavis.2012.06.014openalex-snapshot
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features
inferred← citeshttps://doi.org/10.1016/j.imavis.2012.07.003openalex-snapshot
Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools
inferred← citeshttps://doi.org/10.1016/j.imavis.2012.10.001openalex-snapshot
A unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models
inferred← citeshttps://doi.org/10.1016/j.imavis.2016.03.008openalex-snapshot
Cascade of Tasks for facial expression analysis
inferred← citeshttps://doi.org/10.1016/j.ins.2014.07.002openalex-snapshot
Log-Normal and Log-Gabor descriptors for expressive events detection and facial features segmentation
inferred← citeshttps://doi.org/10.1016/j.intcom.2011.05.006openalex-snapshot
Affective responses to system messages in human–computer-interaction: Effects of modality and message type
inferred← citeshttps://doi.org/10.1016/j.jocs.2017.02.012openalex-snapshot
Measuring dynamic micro-expressions via feature extraction methods
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.04.013openalex-snapshot
Hierarchical uncorrelated multiview discriminant locality preserving projection for multiview facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.09.011openalex-snapshot
A discriminative dynamic framework for facial expression recognition in video sequences
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102659openalex-snapshot
Fusing dynamic deep learned features and handcrafted features for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.05.005openalex-snapshot
Facial expression recognition from image sequences using twofold random forest classifier
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.09.049openalex-snapshot
Video-based facial expression recognition using learned spatiotemporal pyramid sparse coding features
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.08.043openalex-snapshot
Facial expression recognition via learning deep sparse autoencoders
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.08.029openalex-snapshot
Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks
inferred← citeshttps://doi.org/10.1016/j.neuropsychologia.2024.108986openalex-snapshot
EEG correlates of static and dynamic face perception: The role of naturalistic motion
inferred← citeshttps://doi.org/10.1016/j.patcog.2008.09.035openalex-snapshot
Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation
inferred← citeshttps://doi.org/10.1016/j.patcog.2009.07.007openalex-snapshot
Salient feature and reliable classifier selection for facial expression classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2009.12.009openalex-snapshot
Real-time 2D+3D facial action and expression recognition
inferred← citeshttps://doi.org/10.1016/j.patcog.2011.07.022openalex-snapshot
Comparative evaluation of 3D vs. 2D modality for automatic detection of facial action units
inferred← citeshttps://doi.org/10.1016/j.patcog.2013.09.023openalex-snapshot
Facial expression recognition in dynamic sequences: An integrated approach
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.04.022openalex-snapshot
Measuring the intensity of spontaneous facial action units with dynamic Bayesian network
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.04.025openalex-snapshot
A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.08.026openalex-snapshot
Task-dependent multi-task multiple kernel learning for facial action unit detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.12.002openalex-snapshot
A dynamic framework based on local Zernike moment and motion history image for facial expression recognition
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.03.022openalex-snapshot
Framework for reliable, real-time facial expression recognition for low resolution images
inferred← citeshttps://doi.org/10.1016/j.patrec.2017.10.022openalex-snapshot
Deep spatial-temporal feature fusion for facial expression recognition in static images
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.01.004openalex-snapshot
Semi-supervised clustering of unknown expressions
inferred← citeshttps://doi.org/10.1016/j.procir.2017.01.014openalex-snapshot
Applying FaceReader to Recognize Consumer Emotions in Graphic Styles
inferred← citeshttps://doi.org/10.1016/j.proeng.2016.05.154openalex-snapshot
Performance Analysis of Similarity Coefficient Feature Vector on Facial Expression Recognition
inferred← citeshttps://doi.org/10.1016/j.sigpro.2015.04.007openalex-snapshot
Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection
inferred← citeshttps://doi.org/10.1017/9781316676202openalex-snapshot
Social Signal Processing
inferred← citeshttps://doi.org/10.1017/9781316676202.011openalex-snapshot
Facial Actions as Social Signals
inferred← citeshttps://doi.org/10.1017/9781316676202.018openalex-snapshot
Machine Learning Methods for Social Signal Processing
inferred← citeshttps://doi.org/10.1017/9781316676202.023openalex-snapshot
Social Signal Processing in Social Robotics
inferred← citeshttps://doi.org/10.1017/cbo9781139541022.002openalex-snapshot
General
inferred← citeshttps://doi.org/10.1017/cbo9781139541022.004openalex-snapshot
Ethogram of the mouse
inferred← citeshttps://doi.org/10.1017/s0263574714001787openalex-snapshot
An expressional simplified mechanism in anthropomorphic face robot design
inferred← citeshttps://doi.org/10.1037/emo0000835openalex-snapshot
The role of movement kinematics in facial emotion expression production and recognition.
inferred← citeshttps://doi.org/10.1038/s41598-024-70563-8openalex-snapshot
Sensing emotional valence and arousal dynamics through automated facial action unit analysis
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5683openalex-snapshot
Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition
inferred← citeshttps://doi.org/10.1063/5.0133594openalex-snapshot
Categorization of emotions based on facial expressions
inferred← citeshttps://doi.org/10.1063/5.0266626openalex-snapshot
Emotion analysis on face recognition with swin transformer in deep learning
inferred← citeshttps://doi.org/10.1063/5.0287020openalex-snapshot
Automatic facial expression recognition for improved human-machine interaction and beyond
inferred← citeshttps://doi.org/10.1080/00461520.2017.1281747openalex-snapshot
Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning
inferred← citeshttps://doi.org/10.1080/01691864.2012.686349openalex-snapshot
Emotionally Assisted Human–Robot Interaction Using a Wearable Device for Reading Facial Expressions
inferred← citeshttps://doi.org/10.1080/02564602.2015.1117403openalex-snapshot
A Review on Facial Expression Recognition: Feature Extraction and Classification
inferred← citeshttps://doi.org/10.1080/07370024.2012.755421openalex-snapshot
Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection
inferred← citeshttps://doi.org/10.1080/1206212x.2017.1395134openalex-snapshot
Template matching and machine learning-based robust facial expression recognition system using multi-level Haar wavelet
inferred← citeshttps://doi.org/10.1080/17517575.2014.948935openalex-snapshot
Textual emotion recognition for enhancing enterprise computing
inferred← citeshttps://doi.org/10.1080/21642583.2019.1647577openalex-snapshot
A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairment in the elderly
inferred← citeshttps://doi.org/10.1080/23080477.2014.11665627openalex-snapshot
Automatic Emotional State Detection using Facial Expression Dynamic in Videos
inferred← citeshttps://doi.org/10.1088/1757-899x/1084/1/012004openalex-snapshot
Feature Fusion In Multimodal Emotion Recognition System For Enhancement Of Human-Machine Interaction
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195387643.003.0007openalex-snapshot
Automatic Facial Expression Recognition
inferred← citeshttps://doi.org/10.1093/iwc/iwt057openalex-snapshot
Dynamic Facial Emotion Recognition Oriented to HCI Applications
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.001.0001openalex-snapshot
Taking Aim at Attack Advertising
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.002.0003openalex-snapshot
Copyright Page
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.002.0005openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0001openalex-snapshot
Untangling the Impact of Negative Campaigning on Citizens
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0002openalex-snapshot
Data, Measurements, and Methodology
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0003openalex-snapshot
Citizens’ Tolerance of Negative Campaign Messages
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0004openalex-snapshot
An Examination of the Amount, Substance, and Tone of Negative Commercials in Senate Elections
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0005openalex-snapshot
Reactions to the Civility and Relevance of Negative Advertisements
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0006openalex-snapshot
Examining Citizens’ Impressions of Negativity During U.S. Senate Campaigns
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0007openalex-snapshot
How Negative Campaigning Influences Citizens’ Evaluations of Candidates and Likelihood of Voting
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.003.0008openalex-snapshot
The Consequences of Negative Campaigning
inferred← citeshttps://doi.org/10.1093/oso/9780190947569.005.0001openalex-snapshot
Pretest/Posttest Questionnaire for 2014 CCES and ASU Module
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