Walking Monitoring for Users of Standard and Front-Wheel Walkers

In this paper, a walker movement monitoring system is proposed for a standard walker and a front-wheeled walker. The walking parameters (step length, step time, step speed, and total walking distance) are accurately estimated from the movement of walker to provide a statistical analysis of rehabilit...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2017-12, Vol.66 (12), p.3289-3298
Main Authors: Pham, Duy Duong, Duong, Huu Toan, Suh, Young Soo
Format: Article
Language:English
Subjects:
Accelerometers
Algorithm design and analysis
Algorithms
Classification
Coders
Continuous rolling
Health care
health evaluation
Inertial platforms
inertial sensor
Legged locomotion
Monitoring
Parameter estimation
Patient rehabilitation
Rehabilitation
Statistical analysis
walker
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a walker movement monitoring system is proposed for a standard walker and a front-wheeled walker. The walking parameters (step length, step time, step speed, and total walking distance) are accurately estimated from the movement of walker to provide a statistical analysis of rehabilitation assessment. First, a movement classification algorithm is proposed to identify walking styles (continuous rolling, step-by-step rolling, two back tips lifting, and complete lifting). Based on this classification, the movement of a walker can be estimated using either two encoders (only for front-wheeled walker) or an inertial measurement unit. The accuracy of walking parameter estimation is verified through five subjects' experiments. In 20-m straight walking, the walking distance root mean square error is 0.1-0.3 m depending on walking styles.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2017.2745058