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Personalized and adaptive neural networks for pain detection from multi-modal physiological features
15 references·1 citing·38 second hop
Personalized and adaptive neural networks for pain detection from multi-modal physiological features (2023)Personalized and adaptive neural networks…Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective (2021)Multi-Modal Pain Intensity As…Twofold-Multimodal Pain Recognition with the X-ITE Pain Database (2019)Twofold-Multimodal Pain Recog…Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Automatic Recognition Methods…Acute pain intensity monitoring with the classification of multiple physiological parameters (2018)Acute pain intensity monitori…Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions (2017)Personalized Automatic Estima…Multi-task neural networks for personalized pain recognition from physiological signals (2017)Multi-task neural networks fo…DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain (2017)DeepFaceLIFT: Interpretable P…Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels (2016)Methods for Person-Centered C…Automatic Pain Assessment with Facial Activity Descriptors (2016)Automatic Pain Assessment wit…Adaptive confidence learning for the personalization of pain intensity estimation systems (2016)Adaptive confidence learning …The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset (2015)The Automatic Detection of Ch…Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity (2015)Multimodal Data Fusion for Pe…cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing (2015)cvxEDA: a Convex Optimization…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…Survey on Pain Detection Using Machine Learning Models: Narrative Review (2024)Survey on Pain Detection Usin…A circumplex model of affect. (1980)Emotion recognition based on physiological changes in music listening (2008)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Automatic coding of facial expressions displayed during posed and genuine pain (2009)Automatic detection of pain intensity (2012)Automatic Detection of Pain from Facial Expressions: A Survey (2020)The Measurement of Observer Agreement for Categorical Data (1977)The Hospital Anxiety and Depression Scale (1983)Forming inferences about some intraclass correlation coefficients. (1996)Updating the definition of pain (2016)NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns (2021)Automatic assessment of pain based on deep learning methods: A systematic review (2023)Approximate entropy as a measure of system complexity. (1991)Measuring complexity using FuzzyEn, ApEn, and SampEn (2008)Physiological Signal-Based Method for Measurement of Pain Intensity (2017)A systematic review of neurophysiological sensing for the assessment of acute pain (2023)Facial Expression Analysis (2005)Can Duchenne smiles be feigned? New evidence on felt and false smiles. (2009)Facial Expression Recognition with Identity and Emotion Joint Learning (2018)Facial Action Coding System (1978)Intraclass correlations: Uses in assessing rater reliability. (1979)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Ensemble neural network approach detecting pain intensity from facial expressions (2020)The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space (2020)Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines (2015)Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network (2020)Exploration of physiological sensors, features, and machine learning models for pain intensity estimation (2021)Approaches, Applications, and Challenges in Physiological Emotion Recognition—A Tutorial Overview (2023)Continuous Pain Intensity Estimation from Facial Expressions (2012)Pain Detection using a Smartphone in Real Time (2020)Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor (2021)Automated detection of pain levels using deep feature extraction from shutter blinds-based dynamic-sized horizontal patches with facial images (2022)Handbook of pain assessment (1994)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Artificial intelligence to evaluate postoperative pain based on facial expression recognition (2022)Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study (2019)Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity (2019)Stress Detection with Machine Learning and Deep Learning using Multimodal Physiological Data (2020)
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References

  • 2015cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing605 cited
  • 2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 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
  • 2014Automatic Pain Recognition from Video and Biomedical Signals169 cited
  • 2016Automatic Pain Assessment with Facial Activity Descriptors166 cited
  • 2017Multi-task neural networks for personalized pain recognition from physiological signals96 cited
  • 2016Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels93 cited
  • 2017Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions92 cited
  • 2018Acute pain intensity monitoring with the classification of multiple physiological parameters86 cited
  • 2016Adaptive confidence learning for the personalization of pain intensity estimation systems82 cited
  • 2021Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective69 cited
  • 2015Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity68 cited
  • 2017

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DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
44 cited
  • 2019Twofold-Multimodal Pain Recognition with the X-ITE Pain Database39 cited
  • Cited by

    • 2024Survey on Pain Detection Using Machine Learning Models: Narrative Review31 cited