An approach for identifying gait events using wavelet denoising technique and single wireless IMU

Rahul Soangra, Thurmon E. Lockhart, Nathalie Van De Berge

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

4 Scopus citations

Abstract

A new approach is proposed to identify gait events in non-laboratory environments with a single inertial measurement unit (IMU) embedded inside shoe. The aim of our work is to develop a useful clinical tool for monitoring individuals walking disability and detect specific pathological gait patterns. Temporal parameters of gait are determined by classification of accelerations and angular velocities. Wavelets denoising of IMU signals allows for an important amount of information that is exploited in different manners for event identification. It was found that wavelet denoising enhanced specific turning points which could effectively identify gait events. The method is verified by comparing the results of video-based motion capture system and force plates as conventional standards. This portable gait-monitoring system allows for versatile application beyond gait laboratory.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 55th Annual Meeting, HFES 2011
Pages1990-1994
Number of pages5
DOIs
StatePublished - 2011
Event55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011 - Las Vegas, NV, United States
Duration: Sep 19 2011Sep 23 2011

Publication series

NameProceedings of the Human Factors and Ergonomics Society
ISSN (Print)1071-1813

Other

Other55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011
CountryUnited States
CityLas Vegas, NV
Period9/19/119/23/11

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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    Soangra, R., Lockhart, T. E., & Van De Berge, N. (2011). An approach for identifying gait events using wavelet denoising technique and single wireless IMU. In Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting, HFES 2011 (pp. 1990-1994). (Proceedings of the Human Factors and Ergonomics Society). https://doi.org/10.1177/1071181311551415