• DocumentCode
    3685475
  • Title

    Gait assessment using the Kinect RGB-D sensor

  • Author

    Jingbo Zhao;Frank E. Bunn;Jacob M. Perron;Edward Shen;Robert S. Allison

  • Author_Institution
    Department of Electrical Engineering and Computer Science, York University, Toronto, Canada
  • fYear
    2015
  • Firstpage
    6679
  • Lastpage
    6683
  • Abstract
    Patients with concussions, strokes and neuromuscular disease such as Parkinson´s disease, often have difficulties in keeping balance and suffer from abnormal gaits. Gait assessment conducted by a physician or therapist in clinics is standard clinical practice for assessing such injuries. However, this approach is subjective, leading to potential problems of unrepeatability, poor sensitivity and unreliability. To conduct the assessment in an objective way, a computer-based gait assessment system is designed and presented in this paper. The system performs assessments on dynamic balance and gaits by analyzing the skeleton frames of a subject captured by the Microsoft Kinect RGB-D sensor. Results show that the proposed system effectively scores subjects.
  • Keywords
    "Foot","Legged locomotion","Turning","Feature extraction","Skeleton","Wrist","Reliability"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319925
  • Filename
    7319925