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EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
15 references·0 citing·39 second hop
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions (2020)EMOPAIN Challenge 2020: Multimodal Pain E…Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2019)Deep Affect Prediction in-the…AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)AVEC 2019 Workshop and Challe…Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Automatic Recognition Methods…Automatic prediction of Depression and Anxiety from behaviour and personality attributes (2019)Automatic prediction of Depre…Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images (2017)Spatio-temporal Pain Recognit…Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation (2017)Fusing Deep Learned and Hand-…Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video (2016)Recurrent Convolutional Neura…Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels (2016)Methods for Person-Centered C…The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset (2015)The Automatic Detection of Ch…Automatic Pain Recognition from Video and Biomedical Signals (2014)Automatic Pain Recognition fr…The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system (2013)The biovid heat pain database…Continuous Pain Intensity Estimation from Facial Expressions (2012)Continuous Pain Intensity Est…Automatic detection of pain intensity (2012)Automatic detection of pain i…Automatic coding of facial expressions displayed during posed and genuine pain (2009)Automatic coding of facial ex…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…Facial Action Coding System (1978)Intraclass correlations: Uses in assessing rater reliability. (1979)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Automatic Pain Assessment with Facial Activity Descriptors (2016)Enhanced deep learning algorithm development to detect pain intensity from facial expression images (2020)A circumplex model of affect. 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(2003)A multimodal fusion model with multi-level attention mechanism for depression detection (2022)CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation (2022)Handbook of pain assessment (1994)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Exploration of physiological sensors, features, and machine learning models for pain intensity estimation (2021)Artificial intelligence to evaluate postoperative pain based on facial expression recognition (2022)Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines (2015)Automatic Detection of Pain from Facial Expressions: A Survey (2020)Reproducibility and responsiveness of health status measures statistics and strategies for evaluation (1991)Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine (1998)Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)
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References

  • 1989A Concordance Correlation Coefficient to Evaluate Reproducibility8,782 cited
  • 2019AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition407 cited
  • 2019Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond381 cited
  • 2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 cited
  • 2012Continuous Pain Intensity Estimation from Facial Expressions249 cited
  • 2019Automatic Recognition Methods Supporting Pain Assessment: A Survey242 cited
  • 2015The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset220 cited
  • 2009Automatic coding of facial expressions displayed during posed and genuine pain216 cited
  • 2012Automatic detection of pain intensity185 cited
  • 2014Automatic Pain Recognition from Video and Biomedical Signals169 cited
  • 2016Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video125 cited
  • 2016Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels93 cited
  • 2017Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation70 cited
  • 2017

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Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images
54 cited
  • 2019Automatic prediction of Depression and Anxiety from behaviour and personality attributes53 cited
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