Next Article in Journal
Angular Molecular–Electronic Sensor with Negative Magnetohydrodynamic Feedback
Next Article in Special Issue
An IMU-Aided Body-Shadowing Error Compensation Method for Indoor Bluetooth Positioning
Previous Article in Journal
Feature Fusion of ICP-AES, UV-Vis and FT-MIR for Origin Traceability of Boletus edulis Mushrooms in Combination with Chemometrics
Previous Article in Special Issue
Closed-Form Algorithm for 3-D Near-Field OFDM Signal Localization under Uniform Circular Array
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 230; https://doi.org/10.3390/s18010230

Walking Distance Estimation Using Walking Canes with Inertial Sensors

Electrical Engineering Department, University of Ulsan, Ulsan 44610, Korea
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 10 January 2018 / Accepted: 12 January 2018 / Published: 15 January 2018
Full-Text   |   PDF [1699 KB, uploaded 18 January 2018]   |  

Abstract

A walking distance estimation algorithm for cane users is proposed using an inertial sensor unit attached to various positions on the cane. A standard inertial navigation algorithm using an indirect Kalman filter was applied to update the velocity and position of the cane during movement. For quadripod canes, a standard zero-velocity measurement-updating method is proposed. For standard canes, a velocity-updating method based on an inverted pendulum model is proposed. The proposed algorithms were verified by three walking experiments with two different types of canes and different positions of the sensor module. View Full-Text
Keywords: mobility aids; walking cane; walking distance estimation; inertial sensor; Kalman filter mobility aids; walking cane; walking distance estimation; inertial sensor; Kalman filter
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Dang, D.C.; Suh, Y.S. Walking Distance Estimation Using Walking Canes with Inertial Sensors. Sensors 2018, 18, 230.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top