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Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
10 references·4 citing·36 second hop
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation (2017)Fusing Deep Learned and Hand-Crafted Feat…Facial Action Coding System (2017)Facial Action Coding SystemAutomatic Pain Recognition from Video and Biomedical Signals (2014)Automatic Pain Recognition fr…Automatic Decoding of Facial Movements Reveals Deceptive Pain Expressions (2014)Automatic Decoding of Facial …Towards Pain Monitoring: Facial Expression, Head Pose, a new Database, an Automatic System and Remaining Challenges (2013)Towards Pain Monitoring: Faci…Continuous Pain Intensity Estimation from Facial Expressions (2012)Continuous Pain Intensity Est…Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Painful data: The UNBC-McMast…Automatically Detecting Pain in Video Through Facial Action Units (2010)Automatically Detecting Pain …Automatic coding of facial expressions displayed during posed and genuine pain (2009)Automatic coding of facial ex…From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (2005)From Physiological Signals to…Facial Action Coding System (1978)Facial Action Coding SystemEMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions (2020)EMOPAIN Challenge 2020: Multi…Deep-Learning-Based Models for Pain Recognition: A Systematic Review (2020)Deep-Learning-Based Models fo…A Joint Deep Neural Network Model for Pain Recognition from Face (2019)A Joint Deep Neural Network M…DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain (2017)DeepFaceLIFT: Interpretable P…Automatic detection of pain intensity (2012)The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system (2013)Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines (2015)Automatic Pain Assessment with Facial Activity Descriptors (2016)Automatic Detection of Pain from Facial Expressions: A Survey (2020)Telling Lies: Clues to Deceit in the Marketplace, Politics, and Marriage (1985)Comprehensive database for facial expression analysis (2002)Accuracy of Deception Judgments (2006)BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States (2016)Py-Feat: Python Facial Expression Analysis Toolbox (2023)The expression of the emotions in man and animals. (1872)Qualitative Content Analysis (2015)The Affective Computing Approach to Affect Measurement (2017)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation (2015)Regularizing face verification nets for pain intensity regression (2017)Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study (2021)Facial expression of pain: An evolutionary account (2002)FERA 2015 - second Facial Expression Recognition and Analysis challenge (2015)AFEW-VA database for valence and arousal estimation in-the-wild (2017)Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Psychological Testing (1982)EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)An argument for basic emotions (1992)Emotion recognition in human-computer interaction (2001)Toward machine emotional intelligence: analysis of affective physiological state (2001)Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space (2011)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Automatic Recognition of Facial Actions in Spontaneous Expressions (2006)Enhanced deep learning algorithm development to detect pain intensity from facial expression images (2020)The Prosocial Classroom: Teacher Social and Emotional Competence in Relation to Student and Classroom Outcomes (2008)Detecting depression from facial actions and vocal prosody (2009)AVEC 2016 (2016)Automatic Analysis of Facial Actions: A Survey (2017)
this work references cited by second hop

References

  • 1978Facial Action Coding System6,011 cited
  • 2011Painful data: The UNBC-McMaster shoulder pain expression archive database617 cited
  • 2017Facial Action Coding System559 cited
  • 2005From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification520 cited
  • 2010Automatically Detecting Pain in Video Through Facial Action Units268 cited
  • 2012Continuous Pain Intensity Estimation from Facial Expressions249 cited
  • 2009Automatic coding of facial expressions displayed during posed and genuine pain216 cited
  • 2014Automatic Decoding of Facial Movements Reveals Deceptive Pain Expressions216 cited
  • 2014Automatic Pain Recognition from Video and Biomedical Signals169 cited
  • 2013Towards Pain Monitoring: Facial Expression, Head Pose, a new Database, an Automatic System and Remaining Challenges95 cited

Cited by

  • 2019A Joint Deep Neural Network Model for Pain Recognition from Face50 cited
  • 2020EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions49 cited
  • 2017DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain44 cited
  • 2020Deep-Learning-Based Models for Pain Recognition: A Systematic Review43 cited

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