Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain)

Pain communication varies, with some individuals being highly expressive regarding their pain and others exhibiting stoic forbearance and minimal verbal account of discomfort. Considerable progress has been made in defining behavioral indices of pain [1]-[3]. An abundant literature shows that a limi...

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Published in2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) Vol. 2024; pp. 1 - 3
Main Authors Hammal, Zakia, Walter, Steffen, Berthouze, Nadia, Fernandez-Rojas, Raul, Seymour, Ben, Goecke, Roland
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.09.2024
Subjects
Affective computing
Automated Assessment
Bioinformatics
Clinical Datasets
Collaboration
Conferences
Health Informatics
Human Centered Computing
Monitoring
Multimodal sensors
Pain
Reliability
Health Informatics
Pain
Human Centered Computing
Automated Assessment
Clinical Datasets
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Summary:Pain communication varies, with some individuals being highly expressive regarding their pain and others exhibiting stoic forbearance and minimal verbal account of discomfort. Considerable progress has been made in defining behavioral indices of pain [1]-[3]. An abundant literature shows that a limited subset of facial movements, in several non-human species, encode pain intensity across the lifespan [2]. To advance reliable pain monitoring, automated assessment of pain is emerging as a powerful mean to realize that goal. Though progress has been made, this field remains in its infancy. The workshop aims to promote current research and support growth of interdisciplinary collaborations to advance this groundbreaking research.
DOI:10.1109/ACIIW63320.2024.00005