Skip to main navigation Skip to search Skip to main content

Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units

  • Özkan Bebek
  • , Michael A. Suster
  • , Srihari Rajgopal
  • , Michael J. Fu
  • , Xuemei Huang
  • , M. Cenk Çavu¸so˘glu,
  • , Darrin J. Young
  • , Mehran Mehregany
  • , Antonie J. van den Bogert
  • , Carlos H. Mastrangelo
    • Case Western Reserve University
    • Cleveland Clinic
    • University of Utah

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In this paper, a personal micronavigation system that uses high-resolution gait-corrected inertial measurement units is presented. The goal of this paper is to develop a navigation system that uses secondary inertial variables, such as velocity, to enable long-term precise navigation in the absence of Global Positioning System (GPS) and beacon signals. In this scheme, measured zerovelocity duration from the ground reaction sensors is used to reset the accumulated integration errors from accelerometers and gyroscopes in position calculation. With the described system, an average position error of 4 m is achieved at the end of half-hour walks.

    Original languageAmerican English
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume59
    DOIs
    StatePublished - Nov 1 2010

    Keywords

    • Dead reckoning
    • inertial measurement
    • Kalman filter (KF)
    • pedestrian navigation system
    • pressure sensor array

    Disciplines

    • Biomechanical Engineering
    • Biomechanics and Biotransport

    Cite this