Title :
Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-Based Distraction
Author :
Georgoulis, S. ; Eleftheriadis, S. ; Tzionas, D. ; Vrenas, K. ; Petrantonakis, P. ; Hadjileontiadis, L.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
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.
Keywords :
augmented reality; face recognition; medical computing; patient care; Epione; augmented reality based distraction; biofeedback; dynamic pain meter; facial expression analysis; innovative pain management system; patients pain relief maximization; Epione; augmented reality-based distraction; biofeedback; facial expression analysis; pain management;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-8828-5
Electronic_ISBN :
978-1-4244-4278-2
DOI :
10.1109/INCOS.2010.72