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Updated: Jun 6, 2026

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

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

Published on: March 4, 2018

A single gyroscope method for spatial gait analysis.

Emer P Doheny¹, Timothy G Foran, Barry R Greene

¹TRIL centre and Intel's Digital Health Group, Leixlip, Co. Kildare, Ireland. emer.doheny@intel.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 25, 2010

Summary

This summary is machine-generated.

A new gyroscope-based algorithm (SGA) enables accurate spatial gait analysis using minimal, portable sensors. This low-cost system shows comparable results to electronic walkways, offering accessible gait measurement anywhere.

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Last Updated: Jun 6, 2026

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

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Published on: March 4, 2018

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

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Published on: November 7, 2014

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3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

Area of Science:

Biomechanics
Sensor technology
Human movement analysis

Background:

Inertial sensors offer portable, cost-effective gait analysis solutions.
Accurate spatial gait analysis with minimal sensors remains a significant challenge.

Purpose of the Study:

To present a novel gyroscope-based algorithm (SGA) for spatial gait analysis.
To evaluate the performance of the SGA compared to a gold-standard electronic walkway (GAITRite®).

Main Methods:

The SGA algorithm utilizes data from a single gyroscope attached to each shank.
Performance comparison involved calculating mean errors in stride length and velocity against GAITRite®.

Main Results:

The SGA demonstrated favorable comparison with GAITRite®, showing a mean error of 0.09 ± 0.07 m for stride length.
Mean error for stride velocity was 0.11 ± 0.10 m/s, comparable to previous inertial sensor algorithms.
Investigated relationships between stride length, stride velocity, and subject height.

Conclusions:

The SGA provides an inexpensive and portable system for spatial and spatio-temporal gait analysis.
This method has broad potential for gait analysis applications in diverse settings.
The findings support the use of minimal inertial sensors for accurate gait assessment.