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

Zakia Hammal; Steffen Walter; Nadia Berthouze; Raul Fernandez-Rojas; Ben Seymour; Roland Goecke

doi:10.1109/ACIIW63320.2024.00005

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

Zakia Hammal
, Steffen Walter
, Nadia Berthouze
, Raul Fernandez-Rojas
, Ben Seymour
, Roland Goecke

AI & Robotics

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024
Editors	Marwa Mahmoud, Oye Celiktutan, Lola Canamero
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-3
Number of pages	3
ISBN (Electronic)	9798331516451
DOIs	https://doi.org/10.1109/ACIIW63320.2024.00005
Publication status	Published - 2024
Event	12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024 - Glasgow, United Kingdom Duration: 15 Sept 2024 → 18 Sept 2024

Publication series

Name	Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024

Conference

Conference	12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024
Country/Territory	United Kingdom
City	Glasgow
Period	15/09/24 → 18/09/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/ACIIW63320.2024.00005

Cite this

Hammal, Z., Walter, S., Berthouze, N., Fernandez-Rojas, R., Seymour, B., & Goecke, R. (2024). Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). In M. Mahmoud, O. Celiktutan, & L. Canamero (Eds.), Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024 (pp. 1-3). (Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ACIIW63320.2024.00005

Hammal, Zakia ; Walter, Steffen ; Berthouze, Nadia et al. / Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024. editor / Marwa Mahmoud ; Oye Celiktutan ; Lola Canamero. IEEE, Institute of Electrical and Electronics Engineers, 2024. pp. 1-3 (Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024).

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

abstract = "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.",

keywords = "Automated Assessment, Clinical Datasets, Health Informatics, Human Centered Computing, Pain",

author = "Zakia Hammal and Steffen Walter and Nadia Berthouze and Raul Fernandez-Rojas and Ben Seymour and Roland Goecke",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024 ; Conference date: 15-09-2024 Through 18-09-2024",

year = "2024",

doi = "10.1109/ACIIW63320.2024.00005",

language = "English",

series = "Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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editor = "Marwa Mahmoud and Oye Celiktutan and Lola Canamero",

booktitle = "Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024",

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}

Hammal, Z, Walter, S, Berthouze, N, Fernandez-Rojas, R, Seymour, B & Goecke, R 2024, Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). in M Mahmoud, O Celiktutan & L Canamero (eds), Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024. Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024, IEEE, Institute of Electrical and Electronics Engineers, pp. 1-3, 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024, Glasgow, United Kingdom, 15/09/24. https://doi.org/10.1109/ACIIW63320.2024.00005

Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). / Hammal, Zakia; Walter, Steffen; Berthouze, Nadia et al.
Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024. ed. / Marwa Mahmoud; Oye Celiktutan; Lola Canamero. IEEE, Institute of Electrical and Electronics Engineers, 2024. p. 1-3 (Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain)

AU - Hammal, Zakia

AU - Walter, Steffen

AU - Berthouze, Nadia

AU - Fernandez-Rojas, Raul

AU - Seymour, Ben

AU - Goecke, Roland

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Automated Assessment

KW - Clinical Datasets

KW - Health Informatics

KW - Human Centered Computing

KW - Pain

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UR - https://ieeexplore.ieee.org/xpl/conhome/10970253/proceeding

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DO - 10.1109/ACIIW63320.2024.00005

M3 - Conference contribution

AN - SCOPUS:105004796056

T3 - Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024

SP - 1

EP - 3

BT - Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024

A2 - Mahmoud, Marwa

A2 - Celiktutan, Oye

A2 - Canamero, Lola

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024

Y2 - 15 September 2024 through 18 September 2024

ER -

Hammal Z, Walter S, Berthouze N, Fernandez-Rojas R, Seymour B, Goecke R. Automated Assessment of Pain (AAP) and Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4Pain). In Mahmoud M, Celiktutan O, Canamero L, editors, Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024. IEEE, Institute of Electrical and Electronics Engineers. 2024. p. 1-3. (Proceedings - 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2024). doi: 10.1109/ACIIW63320.2024.00005

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

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UN SDGs

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