• DocumentCode
    2354335
  • 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
  • fYear
    2012
  • fDate
    12-14 Nov. 2012
  • Firstpage
    420
  • Lastpage
    427
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/BWCCA.2012.75
  • Filename
    6363091