• DocumentCode
    186142
  • Title

    Experimental comparison of orientation estimation algorithms in motion tracking for rehabilitation

  • Author

    Daponte, P. ; De Vito, L. ; Riccio, M. ; Sementa, C.

  • Author_Institution
    Dept. of Eng., Univ. of Sannio, Benevento, Italy
  • fYear
    2014
  • fDate
    11-12 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the experimental comparison of data fusion algorithms for human motion tracking in rehabilitation, using Inertial Measurement Units. Three algorithms for orientation estimation, taken from the scientific literature in the field, have been selected and their capability of accurately tracking the angle of a selected joint has been evaluated. In particular, two phases of experimental analysis have been carried out. The former, in laboratory, was directed to verify the capability of the algorithms of tracking a fixed angle range. In the latter, carried out in a rehabilitation center, the results obtained by the considered algorithms have been compared with those provided by a vision-based motion tracking system.
  • Keywords
    biomechanics; biomedical measurement; inertial systems; medical signal processing; object tracking; patient rehabilitation; sensor fusion; Inertial Measurement Units; data fusion algorithms; experimental analysis; experimental comparison; fixed angle range; human motion tracking; orientation estimation algorithms; rehabilitation center; vision-based motion tracking system; Algorithm design and analysis; Estimation; Kalman filters; Magnetometers; Quaternions; Sensors; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
  • Conference_Location
    Lisboa
  • Print_ISBN
    978-1-4799-2920-7
  • Type

    conf

  • DOI
    10.1109/MeMeA.2014.6860048
  • Filename
    6860048