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Updated: Nov 10, 2025

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
Walking speed measurement technology: A review.
Yohanna MejiaCruz1, Jean Franco2, Garret Hainline2
1San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132.
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.
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.
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