References

• 2011Painful data: The UNBC-McMaster shoulder pain expression archive database617 cited
• 2016Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis436 cited
• 2017Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification297 cited
• 2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 cited
• 2016Sleep Quality Prediction From Wearable Data Using Deep Learning244 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
• 2017Multi-task neural networks for personalized pain recognition from physiological signals96 cited
• 2019Exploring Deep Physiological Models for Nociceptive Pain Recognition94 cited
• 2017Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions92 cited
• 2018Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities89 cited
• 2016Adaptive confidence learning for the personalization of pain intensity estimation systems82 cited
• 2017The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System77 cited