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Related Experiment Video

Updated: Oct 22, 2025

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Generation of Gait Events with a FSR Based Cane Handle.

Andrés Trujillo-León1,2, Arturo de Guzmán-Manzano1, Ramiro Velázquez3

  • 1Departamento de Electrónica, Universidad de Málaga, 29071 Málaga, Spain.

Sensors (Basel, Switzerland)
|August 28, 2021
PubMed
Summary
This summary is machine-generated.

Instrumenting canes with Force Sensing Resistors (FSRs) offers a novel way to analyze gait and improve control for assistive devices. Sensor data from the cane handle provides rich gait information, but requires tailored control systems due to user variability.

Keywords:
FSR sensorsassistive technologyexoskeletonsgaitgait eventsgait monitoringinstrumented caneprosthesis

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Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Human-Computer Interaction

Background:

  • Gait analysis is crucial for controlling assistive technologies like prostheses and exoskeletons.
  • Canes are frequently used alongside these devices, offering potential for synergistic upper and lower limb analysis.
  • Instrumenting canes can simplify assistive system use and improve user acceptance by consolidating sensors.

Purpose of the Study:

  • To investigate the feasibility of using Force Sensing Resistors (FSRs) integrated into a cane handle for gait analysis.
  • To explore the potential of cane-based sensor data for real-time control of assistive systems.
  • To assess the richness of gait information obtainable from FSR readings in a cane.

Main Methods:

  • Incorporated Force Sensing Resistors (FSRs) into the handle of a cane.
  • Collected sensor data during gait analysis.
  • Analyzed derived variables from FSR readings to detect gait events.
  • Evaluated the data for its utility in real-time control applications.

Main Results:

  • Numerous gait events were successfully detected using variables derived from the cane's FSR readings.
  • The FSR data provided rich information pertinent to gait analysis.
  • Significant inter-subject variability was observed in the gait data.

Conclusions:

  • A cane equipped with FSRs can effectively capture valuable gait information.
  • The detected gait events hold promise for enhancing real-time control of assistive devices.
  • The observed inter-subject variability highlights the necessity for personalized control strategies in assistive technology.