• DocumentCode
    130964
  • Title

    A Kinect-based rehabilitation exercise monitoring and guidance system

  • Author

    Wenbing Zhao ; Hai Feng ; Lun, Roanna ; Espy, Deborah D. ; Reinthal, M. Ann

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    762
  • Lastpage
    765
  • Abstract
    In this paper, we describe the design and implementation of a Kinect-based system for rehabilitation exercises monitoring and guidance. We choose to use the Unity framework to implement our system because it enables us to use virtual reality techniques to demonstrate detailed movements to the patient, and to facilitate examination of the quality and quantity of the patient sessions by the clinician. The avatar-based rendering of motion also preserves the privacy of the patients, which is essential for healthcare systems. The key contribution of our research is a rule-based approach to realtime exercise quality assessment and feedback. We developed a set of basic rule elements that can be used to express the correctness rules for common rehabilitation exercises.
  • Keywords
    avatars; computerised monitoring; data privacy; health care; knowledge based systems; medical computing; patient rehabilitation; rendering (computer graphics); Kinect-based rehabilitation exercise guidance system; Kinect-based rehabilitation exercise monitoring system; Unity framework; avatar-based motion rendering; feedback; healthcare systems; patient privacy preservation; realtime exercise quality assessment; rule-based system; virtual reality techniques; Avatars; Games; Hip; Joints; Monitoring; Three-dimensional displays; Visualization; Depth Sensing; Kinect; Motion Analysis; Realtime Feedback; Virtual Reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933678
  • Filename
    6933678