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Related Experiment Video

Updated: May 17, 2026

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Slope estimation during normal walking using a shank-mounted inertial sensor.

Antonio M López¹, Diego Álvarez, Rafael C González

¹Multisensor Systems and Robotics Laboratory, University of Oviedo, Campus de Viesques, ed 2, 33204 Gijón, Asturias, Spain. amlopez@uniovi.es

Sensors (Basel, Switzerland)

|November 1, 2012

Summary

This summary is machine-generated.

This study estimates walking surface slope using shank-mounted sensors. The novel approach accurately detects inclines, improving upon existing methods for gait analysis.

Keywords:

gait inertial sensors shank slope estimation tilt

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Area of Science:

Biomechanics
Gait Analysis
Sensor Technology

Background:

Estimating walking surface slope is crucial for gait analysis.
Previous methods using shank-mounted sensors struggled with shank inclination.
Human walking biomechanics offer insights for improved slope estimation.

Purpose of the Study:

To develop an accurate method for estimating walking surface slope.
To address limitations of prior techniques in accounting for shank inclination.
To utilize body-worn sensors for real-time gait analysis.

Main Methods:

Employing a biaxial accelerometer and uniaxial gyroscope on the shank.
Using the accelerometer as a tilt sensor, assuming gravity measurement at mid-stance.
Validating the approach through experiments with multiple users on a treadmill.

Main Results:

The proposed method successfully estimates walking surface slope.
The technique distinguishes between different walking surface inclinations for all subjects.
A global RMS error of 0.05 was achieved, reducible to 0.03 with calibration.

Conclusions:

The developed approach is feasible for estimating walking surface slope.
This method enhances gait analysis by accurately measuring inclines.
Subject-specific calibration further improves the accuracy of slope estimation.