Research project

TAME Pain: Trustworthy AssessMEnt of Pain - Listening Between the Lines

Project overview

In this project, we will develop a novel and transformative proof-of-concept autonomous
system that harnesses acoustic biomarkers of pain, which will guide healthcare
professionals to tailor and optimise analgesia for patients. At present, professionals rely
heavily on obtaining patients’ self-reported pain levels, which is subject to misrepresentation,
especially if a patient does not communicate well. The proposed project will adopt
established pain-induction techniques and identify acoustic biomarkers of pain in healthy
subjects. These markers will then be used to develop a tool that doctors can use as an
additional input when making decisions about pain management.

Staff

Lead researchers

Dr Eike Schneiders

Senior Lecturer in Computer Science

Research interests

  • Human-Computer and Robot Interaction
  • Human-AI Interaction focusing on generative AI and its impact on society
  • Multidisciplinary research in collaboration with, artists, medical professionals, and lawyers
Connect with Eike

Dr Jennifer Williams

Lecturer

Research interests

  • Responsible and trustworthy audio processing applied to a variety of domains and use-cases;
  • Audio AI safety in terms of usability, privacy, and security;
  • Ethical issues of trust for audio AI (deepfake detection, voice-related rights, and speaker and content privacy). 
Connect with Jennifer
Other researchers

Dr Ganesh Vigneswaran MBBS, BSc, PhD, FRCR

NIHR Clinical Lecturer
Connect with Ganesh

Dr Tina Seabrooke

Lecturer B

Research interests

  • Episodic memory
  • Associative learning
Connect with Tina

Research outputs

Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra & Arya Farahi, 2024
Type: conference
Eike Schneiders, Jennifer Williams, Arya Farahi, Tina Seabrooke, Ganesh Vigneswaran, John Robert Bautista, Liz Dowthwaite & Anna-Maria Piskopani, 2023
Type: conference