Hammal, Z;
Walter, S;
Berthouze, N;
(2023)
Automated Assessment of Pain (AAP).
In:
ICMI '23: Proceedings of the 25th International Conference on Multimodal Interaction.
(pp. pp. 820-821).
ACM
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Abstract
Pain communication varies, with some patients 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.
Type: | Proceedings paper |
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Title: | Automated Assessment of Pain (AAP) |
Event: | ICMI '23: 25th International Conference on Multimodal Interaction |
ISBN-13: | 9798400700552 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3577190.3617147 |
Publisher version: | https://doi.org/10.1145/3577190.3617147 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Pain, Health Informatics, Human Centered Computing, Clinical Datasets, Automated Assessment |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10183489 |
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