• DocumentCode
    141127
  • Title

    A non-ZUPT gait reconstruction method for ankle sensors

  • Author

    Xiaoxu Wu ; Yan Wang ; Pottie, Greg

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    5884
  • Lastpage
    5887
  • Abstract
    Monitoring lower body motion, especially gait pattern, using low cost Inertial Measurement Units on a daily basis is becoming critically important for the diagnosis and rehabilitation of neurological diseases. The current state of the art algorithm is to double integrate motion acceleration and compensate cumulative errors by resetting velocity signals to zero at the stance-phase of each stride. However, this method is only applicable for foot-mounted sensors. For the medically more preferable ankle-mounted position, the assumption of this zero-velocity-update (ZUPT) method does not hold. In this paper, a new non-ZUPT method is proposed. We estimated the true velocity during stance-phase, and reset velocity to the estimated value instead of zero. 10 subjects were recruited for 40-meter-level flat floor walking. The stride length estimation error was reduced to 3.58% from 13.22% on average comparing to the conventional ZUPT method on an ankle-mounted sensor. Validity of this method is further supported by stairs walking of 4 more subjects.
  • Keywords
    biomedical telemetry; body sensor networks; diseases; error compensation; feature extraction; gait analysis; medical signal detection; medical signal processing; neurophysiology; parameter estimation; patient diagnosis; patient monitoring; patient rehabilitation; signal reconstruction; ankle-mounted sensor; cumulative error compensation; daily motion monitoring; distance 40 m; double motion acceleration integration; flat floor walking; foot-mounted sensors; gait pattern monitoring; low cost inertial measurement units; lower body motion monitoring; medically preferable ankle-mounted position; neurological disease diagnosis; neurological disease rehabilitation; non-ZUPT gait reconstruction; stair walking; stance-phase true velocity estimation; stride length estimation error reduction; stride stance-phase; velocity signal resetting; zero-velocity-update method; Acceleration; Equations; Estimation; Legged locomotion; Mathematical model; Sensors; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944967
  • Filename
    6944967