Human gait recognition with cane assistive device using quadratic time-frequency distributions
Author | Amin M.G. |
Author | Ahmad F. |
Author | Zhang Y.D. |
Author | Boashash B. |
Available date | 2022-05-31T19:01:35Z |
Publication Date | 2015 |
Publication Name | IET Radar, Sonar and Navigation |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1049/iet-rsn.2015.0119 |
Abstract | In this study, the authors consider the problem of human gait recognition in the presence of a walking cane using radars. Quadratic time-frequency distributions are used to provide the local signal behaviour over frequency and to detail the changes in the Doppler and micro-Doppler signatures over time. New features that capture the intrinsic differences in the time-frequency signatures of the gait observed with and without the use of a cane are proposed. The results based on real data experiments conducted in a laboratory environment are provided that validate the effectiveness of the proposed features in discriminating gait with cane from normal human gait. |
Language | en |
Publisher | Institution of Engineering and Technology |
Subject | Gait analysis Assistive devices Human gait recognition Intrinsic differences Laboratory environment Local signal Micro-Doppler Quadratic time-frequency Time frequency Pattern recognition |
Type | Article |
Pagination | 1224-1230 |
Issue Number | 9 |
Volume Number | 9 |
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Electrical Engineering [2616 items ]