• DocumentCode
    3674926
  • Title

    Analysis of corporal movement alterations using a 3D body tracking sensor

  • Author

    Raquel Torres; Monica;Roger Clotet;Ricardo Gonzalez;Jose Pirrone;Giovanny Sagbay;David Rivas;Angel Soto

  • Author_Institution
    Networks and Applied Telematics Group, Simon Bolivar University, Caracas, Venezuela
  • fYear
    2015
  • Firstpage
    202
  • Lastpage
    205
  • Abstract
    This paper proposes a system, which is intended to capture the body movements and human posture in order to use this data to assist physicians in movement alteration diagnosis. The system consists in four phases: Acquisition of the corporal movement with the Kinect Sensor, Extraction of the particular characteristic for scene captured by Kinect Sensor, Skeletal recognition and Processing of the acquired data. The system generates graphics which may be used to detect posture alterations and other movement disorders. The use of the Kinect Sensor (which is a non-invasive sensor) brings the advantage of registering corporal movement or skeletal tracking but avoiding the errors from a direct body-sensor interface.
  • Keywords
    "Pathology","Joints","Tracking","Yttrium","Parkinson´s disease","Graphics"
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering (ISSE), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/SysEng.2015.7302757
  • Filename
    7302757