Average Walking Speed Estimation with an Inertial Sensor in 10-m Walk Test: A Validation Test with Healthy Subjects

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Information obtained from an inertial sensor attached on the foot would be useful in gait rehabilitation, healthcare and so on, because it provide various evaluation parameters such as stride length, inclination angle and gait event timings. The purpose of this study was to develop an estimation method of average walking speed with the inertial sensor attached on the foot. In this paper, average walking speed was estimated by estimated stride length and time of movement state of each stride during walking. The proposed estimation method of average waking speed was evaluated in comparing to measured walking speed with a stopwatch in 10 m walking test with healthy subjects. Mean difference of walking speeds between measured and estimated walking speeds was −0.60 ± 4.04% (−0.007 ± 0.048 m/s), and mean absolute value of the difference was 3.05 ± 2.71% (0.035 ± 0.033 m/s). Correlation coefficient between them was 0.986. Most of average walking speed were estimated with good accuracy, which were almost between ±10% and between ±0.1 m/s. These results suggested that the average walking speed estimation with an inertial sensor would be useful. In order to improve estimation accuracy for a specific subject and fast speed walking, in which stationary state between strides is very short time, is expected.

Original languageEnglish
Title of host publication8th European Medical and Biological Engineering Conference - Proceedings of the EMBEC 2020
EditorsTomaz Jarm, Aleksandra Cvetkoska, Samo Mahnič-Kalamiza, Damijan Miklavcic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages169-177
Number of pages9
ISBN (Print)9783030646097
DOIs
Publication statusPublished - 2021
Event8th European Medical and Biological Engineering Conference, EMBEC 2020 - Portorož, Slovenia
Duration: 2020 Nov 292020 Dec 3

Publication series

NameIFMBE Proceedings
Volume80
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference8th European Medical and Biological Engineering Conference, EMBEC 2020
Country/TerritorySlovenia
CityPortorož
Period20/11/2920/12/3

Keywords

  • Foot
  • Gait
  • Inertial sensor
  • Walking speed

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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