Related Experiment Video
Updated: Jan 1, 2026
09:37
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
Published on: May 12, 2016
9.1K
Walking-speed estimation using a single inertial measurement unit for the older adults
Seonjeong Byun1,2, Hyang Jun Lee3, Ji Won Han3
1Department of Psychiatry, Seoul National University, College of Medicine, Seoul, Korea.
Plos One
|December 27, 2019
Summary
A new algorithm using an inertial measurement unit (IMU) accurately estimates walking speed in older adults. This method is effective even for slow walkers, offering a valuable tool for geriatric care.
Area of Science:
- Gerontology
- Biomedical Engineering
- Gait Analysis
Background:
- Walking speed is a critical clinical outcome and the sixth vital sign in the elderly.
- Existing inertial measurement unit (IMU)-based walking speed algorithms are limited, especially for older adults with slow gait.
Purpose of the Study:
- To develop and validate a novel walking speed estimation algorithm for older adults utilizing IMU data.
Main Methods:
- A cohort of 659 elderly individuals provided gait data using an IMU on the lower back.
- Linear regression models were developed using demographic, anthropometric, and IMU-derived gait features (e.g., vertical displacement, cadence).
- Algorithm accuracy was validated against GAITRite measurements and tested for performance in slow walkers.
Main Results:
- The algorithm, incorporating age, sex, foot length, vertical displacement, cadence, and step-time variability, demonstrated high accuracy (MAE = 4.70%, RMSE = 6.81 cm/s) and concurrent validity (ICC = 0.937).
- A specialized model improved accuracy for slow walking speeds.
- Performance surpassed existing human gait models.
Conclusions:
- The developed IMU-based algorithm provides accurate walking speed estimation in older adults.
- This technology offers a reliable method for assessing gait in the elderly, including those with slower speeds.
