DocumentCode :
3131252
Title :
A preliminary investigation into the use of machine vision techniques for automating facial paralysis rehabilitation therapy
Author :
Delannoy, Jane Reilly ; Ward, Tomas E.
Author_Institution :
Computer Vision and Imaging Laboratory, Department of Computer Science, National University of Ireland, Maynooth, Ireland
fYear :
2010
fDate :
23-24 June 2010
Firstpage :
228
Lastpage :
232
Abstract :
An impaired facial motor system is a common deficit associated with injury to the nervous system such as occurs during stroke or head trauma. Despite the impact Facial Motor System (FMS) damage has on psychological and social aspects of an individual´s quality of life, facial motor rehabilitation has received little attention until comparatively recently. In this paper preliminary results of our investigation into the use of machine vision methods for the development of an automatic feedback system are presented. We show by way of experimental results that our system provides initial steps towards the development of a system for enhancing the rehabilitation prospects of individuals suffering from FMS damage. The proposed system will act as an intelligent mirror, providing basic feedback by tracking key facial features during the attempted gesture. Such a system could potentially emulate the therapist, automatically assessing the patient according to standard facial disability measures, allowing a comprehensive record of patient engagement, performance, efficacy and outcome to be constructed in a relatively inexpensive manner.
Keywords :
Neurorehabilitation; active appearance models; facial rehabilitation; image processing;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Signals and Systems Conference (ISSC 2010), IET Irish
Conference_Location :
Cork
Type :
conf
DOI :
10.1049/cp.2010.0517
Filename :
5638415
Link To Document :
بازگشت