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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Measuring oscillating walking paths with a LIDAR.

Mercè Teixidó1, Tomàs Pallejà, Marcel Tresanchez

  • 1Department of Computer Science and Industrial Engineering, University of Lleida, Jaume II, 69, 25001 Lleida, Spain. mteixido@diei.udl.cat

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary

This study introduces a novel method using Light Detection And Ranging (LIDAR) to analyze walking trajectories and gait parameters without markers. The system offers accurate, low-infrastructure gait analysis for ambulatory applications.

Keywords:
LIDARalcohol intakegait measurementgait trajectorylaser range sensoroscillatory path

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Area of Science:

  • Robotics and Biomechanics
  • Sensor Technology
  • Human Motion Analysis

Background:

  • Gait analysis is crucial for understanding human locomotion.
  • Existing methods often require markers or floor modifications.
  • Unsupervised walking analysis presents unique challenges.

Purpose of the Study:

  • To develop and test a non-invasive system for measuring gait and trajectory parameters during unsupervised walking.
  • To evaluate the effectiveness of a terrestrial Light Detection And Ranging (LIDAR) sensor for this purpose.

Main Methods:

  • Utilized a terrestrial LIDAR sensor positioned 100 mm above the ground.
  • The scanning plane was parallel to the floor to capture leg trajectories.
  • Conducted three large-scale walking experiments with straight and oscillating paths.

Main Results:

  • Successfully measured oscillating trajectories and estimated gait parameters.
  • Demonstrated the system's ability to analyze multiple steps and provide average gait metrics.
  • Validated the non-invasive and low-infrastructure nature of the measurement approach.

Conclusions:

  • The proposed LIDAR-based system provides an effective, non-invasive method for gait and trajectory analysis.
  • This technology enables the development of new ambulatory applications focused on walking analysis.
  • The system's minimal infrastructure requirements enhance its practical applicability.