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Automated Assessment of Pain (AAP)

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 Green open access

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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
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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