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Updated: Jun 18, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

A wireless gait analysis system by digital textile sensors.

Chang-Ming Yang1, Chun-Mei Chou, Jwu-Sheng Hu

  • 1Ming Young Biomedical Corp., No. 27, Guangfu Rd., Jhunan, Miaoli 350, Taiwan.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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Digital textile sensors can accurately measure spatio-temporal gait parameters for healthy individuals during various activities. This technology enables easy analysis and activity recognition from gait data.

Area of Science:

  • Biomedical Engineering
  • Sports Science
  • Wearable Technology

Background:

  • Gait analysis is crucial for understanding human locomotion and diagnosing movement disorders.
  • Traditional gait analysis methods often require specialized equipment and controlled laboratory environments.
  • Digital textile sensors offer a potential for unobtrusive and portable gait monitoring.

Purpose of the Study:

  • To investigate the feasibility of using digital textile sensors for spatio-temporal gait analysis.
  • To evaluate the accuracy of gait parameter estimation using textile sensor data.
  • To explore the application of this technology for activity recognition.

Main Methods:

  • Healthy subjects walked over ground, ran, walked backward, and navigated stairs.

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Related Experiment Videos

Last Updated: Jun 18, 2026

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

  • Spatio-temporal gait parameters were measured using digital textile sensors integrated into pants and socks.
  • Data from sensors were analyzed to derive parameters like stride duration, step length, and walking speed.

    • Main Results:

    • Digital textile sensors accurately estimated key spatio-temporal gait parameters, including stride/step duration, step length, cadence, and walking speed.
    • The system successfully captured parameters related to the center of pressure and center of mass trajectory.
    • Gait data from textile sensors facilitated straightforward activity recognition.

    Conclusions:

    • Digital textile sensors provide a feasible and accurate method for spatio-temporal gait analysis in healthy individuals.
    • This technology allows for easy visualization and analysis of gait parameters across various activities.
    • The digital data derived from textile sensors are suitable for advanced activity recognition applications.