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Related Experiment Video

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Postural Organization of Gait Initiation for Biomechanical Analysis Using Force Platform Recordings
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Automatic force plate contact detection protocol for computerized gait analysis.

Clemens Ambrozy1, Stefano Palma1, Timothy Hasenoehrl1

  • 1Medical University of Vienna, Department of Physical Medicine, Rehabilitation and Occupational Medicine, Währinger Gürtel 18-22, 1090 Vienna, Austria.

Gait & Posture
|October 14, 2019
PubMed
Summary

New software automates force plate detection for computerized gait analysis. This ensures accurate kinetic data collection, improving the usability and evaluability of gait assessments.

Keywords:
Automatic ProtocolFoot ContactForce PlatesGait AnalysisSoftware

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Gait Analysis Technology

Background:

  • Accurate kinetic data collection in computerized gait analysis relies on precise force plate foot contact detection.
  • Ensuring correct force plate engagement is crucial for the usability and evaluability of gait assessments.

Purpose of the Study:

  • To describe a technical development that streamlines the workflow for computerized gait analysis.
  • To introduce software designed for automatic recognition, counting, and documentation of valid force plate foot contacts.

Main Methods:

  • Development of a software program using Microsoft® C# and the Vicon® DataStream SDK.
  • The software queries foot marker positions and force plate electrical signals.
  • The program operates in parallel with Vicon® data acquisition software.

Main Results:

  • A graphical user interface (GUI) provides real-time display of correct force plate foot contacts.
  • An automatically generated tabular protocol of evaluable walks is available post-measurement.
  • Facilitates a more efficient and reliable process for gait analysis data acquisition.

Conclusions:

  • The developed software significantly enhances the process flow of computerized gait analysis.
  • Automated detection of force plate contacts improves data accuracy and reduces manual processing.
  • This technical advancement aids in obtaining more reliable kinetic data for gait research.