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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
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Measuring gait using a ground laser range sensor.

Tomàs Pallejà1, Mercè Teixidó, Marcel Tresanchez

  • 1Department of Computer Science and Industrial Engineering, University of Lleida, Jaume II, 69, 25001 Lleida, Spain; E-Mails: tpalleja@diei.udl.cat (T.P.); mteixido@diei.udl.cat (M.T.); mtresanchez@diei.udl.cat (M.T.).

Sensors (Basel, Switzerland)
|February 1, 2012
PubMed
Summary

This study introduces a novel measurement system for precise gait parameter extraction using a 2D laser range sensor. The system accurately tracks leg displacement, reducing uncertainty in gait phase determination.

Keywords:
LIDARgait measurementlaser range sensor

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Area of Science:

  • Biomechanics
  • Robotics
  • Sensor Technology

Background:

  • Gait analysis is crucial for understanding human locomotion and diagnosing movement disorders.
  • Accurate measurement of leg displacement is essential for reliable gait parameter extraction.
  • Existing methods may have limitations in precision or complexity.

Purpose of the Study:

  • To develop and validate a novel measurement system for gait analysis.
  • To extract key gait parameters by precisely measuring leg displacement.
  • To reduce uncertainty in identifying gait phases like standing and swinging.

Main Methods:

  • Utilized a two-dimensional laser range sensor with a ground-parallel scanning plane.
  • Estimated leg positions by fitting circles to laser-defined contours.
  • Applied a step-line model to displacement data for gait phase analysis.

Main Results:

  • Achieved systematic error below 10 mm for static leg location within an 8m range.
  • Reported standard deviation below 8 mm for static leg location.
  • Observed a deviation increase to 11 mm for moving legs, demonstrating system robustness.

Conclusions:

  • The proposed laser-based measurement system offers accurate leg displacement registration.
  • The methodology effectively extracts gait parameters with reduced phase determination uncertainty.
  • Preliminary experiments with volunteers confirm the system's applicability in real-world gait analysis.