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Related Experiment Video

Updated: Nov 10, 2025

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
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Walking speed measurement technology: A review.

Yohanna MejiaCruz1, Jean Franco2, Garret Hainline2

  • 1San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132.

Current Geriatrics Reports
|April 5, 2021
PubMed
Summary
This summary is machine-generated.

New wearable and environmental technologies can estimate walking speed (WS), a key health indicator. While wearable sensors offer advantages, systems for at-home WS tracking during daily activities are still needed.

Keywords:
floor vibrationsgait analysisimage-basedsensor technologywalking speedwearable sensors

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Area of Science:

  • Biomedical Engineering
  • Kinesiology
  • Rehabilitation Technology

Background:

  • Walking speed (WS) is a crucial gait parameter reflecting an individual's health status.
  • Accurate estimation of WS is essential for clinical assessment and monitoring.
  • Recent advancements have introduced novel technologies for gait analysis.

Purpose of the Study:

  • To provide an overview of technologies for estimating gait parameters, with a specific focus on walking speed (WS).
  • To review and evaluate the technical and clinical aspects of various WS estimation technologies developed in the last five years.

Main Methods:

  • Systematic review of research published in the last five years on WS estimation technologies.
  • Categorization of technologies into wearable and environmental (external) systems.
  • Evaluation of the capabilities, technical feasibility, and clinical relevance of each technology.

Main Results:

  • New wearable and environmental technologies for WS estimation have emerged in the past five years.
  • Wearable technologies utilize body-attached sensors to capture walking kinematics.
  • Environmental technologies employ external instrumentation to monitor walking patterns, facing implementation challenges outside controlled settings.
  • Current systems lack the capability to track WS changes during daily activities and at-home assessments.

Conclusions:

  • Image-based, walkway, wearable, and floor-vibration technologies are prominent for WS estimation.
  • Wearable technologies present advantages in real-world applications but require further exploration.
  • Development of systems for continuous, at-home WS monitoring is a critical unmet need.