TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients-Reference-Cited by-同舟云学术

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients

Published:2023-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First International Symposium on Trustworthy Autonomous Systems
language:
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Author:

Schneiders Eike¹^ORCID,Williams Jennifer²^ORCID,Farahi Arya³^ORCID,Seabrooke Tina²^ORCID,Vigneswaran Ganesh²^ORCID,Bautista John Robert³^ORCID,Dowthwaite Liz¹^ORCID,Piskopani Anna-Maria¹^ORCID

Affiliation:

1. University of Nottingham, United Kingdom

2. University of Southampton, United Kingdom

3. University of Texas, Austin, USA

Funder

UK Engineering and Physical Sciences Research Council (EPSRC)

University of Texas at Austin

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597512.3597513

Reference18 articles.

1. Visual data of facial expressions for automatic pain detection

2. A Joint Deep Neural Network Model for Pain Recognition from Face

3. Sandie Cabon , Fabienne Porée , Antoine Simon , Olivier Rosec , Patrick Pladys , and Guy Carrault . 2019. Video and audio processing in paediatrics: A review. Physiological measurement 40, 2 ( 2019 ), 02TR02. Sandie Cabon, Fabienne Porée, Antoine Simon, Olivier Rosec, Patrick Pladys, and Guy Carrault. 2019. Video and audio processing in paediatrics: A review. Physiological measurement 40, 2 (2019), 02TR02.

4. Raul Fernandez Rojas , Xu Huang , and Keng-Liang Ou. 2019. A machine learning approach for the identification of a biomarker of human pain using fNIRS. Scientific reports 9, 1 ( 2019 ), 1–12. Raul Fernandez Rojas, Xu Huang, and Keng-Liang Ou. 2019. A machine learning approach for the identification of a biomarker of human pain using fNIRS. Scientific reports 9, 1 (2019), 1–12.

5. Ways of Reasoning Used by Nurses in Postoperative Pain Assessment