Title :
Motion Tracking and Learning in Telerehabilitation Applications
Author :
Sevcenco, A. ; Kin Fun Li
Author_Institution :
Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
Abstract :
In recent years, advances in motion detection, tracking, and classification have made applications in telerehabiliation possible. Monitoring of the elder lies and physically impaired, sports medicine, and physical therapy, are some of the active research areas in telerehabiliation. Furthermore, the gaming industry has provided some low-cost devices to track motion with reasonable accuracy, thus, making telerehabiliation a reality for most people. This work introduces, presents, and discusses the progress in motion tracking and their application in telerehabiliation.
Keywords :
image classification; image motion analysis; patient monitoring; patient rehabilitation; telemedicine; gaming industry; low-cost devices; motion classification; motion detection; motion tracking; physical therapy; physically-impaired elder monitoring; sports medicine; telerehabilitation application; Broadband communication; Wireless communication; elderlies in-home monitoring; motion learning; motion sensing techniques; motion tracking rehabilitation; physically impaired; telemedicine; telerehabilitation;
Conference_Titel :
Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4673-2972-9
DOI :
10.1109/BWCCA.2012.75
