Epione: An innovative pain management system using facial expression analysis, biofeedback and augmented reality-based distraction

S. Georgoulis, S. Eleftheriadis, D. Tzionas, K. Vrenas, P. Petrantonakis, L. J. Hadjileontiadis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

An innovative pain management system, namely Epione, is presented here. Epione deals with three main types of pain, i.e., acute pain, chronic pain, and phantom limb pain. In particular, by using facial expression analysis, Epione forms a dynamic pain meter, which then triggers biofeedback and augmented reality-based destruction scenarios, in an effort to maximize patient's pain relief. This unique combination sets Epione not only a novel pain management approach, but also a means that provides an understanding and integration of the needs of the whole community involved i.e., patients and physicians, in a joint attempt to facilitate easing of their suffering, provide efficient monitoring and contribute to a better quality of life.

Original languageBritish English
Title of host publicationProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010
Pages259-266
Number of pages8
DOIs
StatePublished - 2010
Event2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010 - Thessaloniki, Greece
Duration: 24 Nov 201026 Nov 2010

Publication series

NameProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

Conference

Conference2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010
Country/TerritoryGreece
CityThessaloniki
Period24/11/1026/11/10

Keywords

  • Augmented reality-based distraction
  • Biofeedback
  • Epione
  • Facial expression analysis
  • Pain management

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