An Approach for Identifying Gait Events Using Wavelet Denoising Technique and Single Wireless IMU

Authors

Rahul Soangra, Chapman UniversityFollow
Thurmon Lockhart, Virginia Tech
Nathalie Van de Berge, Gent University

Document Type

Conference Proceeding

Publication Date

2011

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.

Comments

This article was originally published in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, volume 55, in 2011. DOI:10.1177/1071181311551415

Recommended Citation

Soangra R, Lockhart TE, Van de Berge N. An approach for identifying gait events using wavelet denoising technique and single wireless IMU. Proc Hum Factors Ergon Soc Annu Meet. 2011;55:1990-1994. doi: 10.1177/1071181311551415

Copyright

Not subject to U.S. copyright restrictions.