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An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors

Arif Reza Anwary Orcid Logo, Hongnian Yu, Michael Vassallo

Sensors, Volume: 18, Issue: 3, Start page: 676

Swansea University Author: Arif Reza Anwary Orcid Logo

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DOI (Published version): 10.3390/s18020676

Published in: Sensors
ISSN: 1424-8220
Published: MDPI AG 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa54137
first_indexed 2020-06-11T13:08:40Z
last_indexed 2020-06-18T13:10:19Z
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spelling 2020-06-18T12:44:14.0240855 v2 54137 2018-02-20 An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors 4bee3e60aea0526bc85a56ddc8d94023 0000-0002-3802-0045 Arif Reza Anwary Arif Reza Anwary true false 2018-02-20 MEDS Journal Article Sensors 18 3 676 MDPI AG 1424-8220 inertial measurement unit; accelerometer; gyroscope; asymmetry; feature extraction; wearable sensors; gait analysis 24 2 2018 2018-02-24 10.3390/s18020676 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2020-06-18T12:44:14.0240855 2018-02-20T00:00:00.0000000 Arif Reza Anwary 0000-0002-3802-0045 1 Hongnian Yu 2 Michael Vassallo 3 54137__17473__ba853c2d63aa43d1b9596a3dfd320987.pdf 54137VOR.pdf 2020-06-11T12:03:29.9713765 Output 6987439 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0/
title An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
spellingShingle An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
Arif Reza Anwary
title_short An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
title_full An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
title_fullStr An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
title_full_unstemmed An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
title_sort An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
author_id_str_mv 4bee3e60aea0526bc85a56ddc8d94023
author_id_fullname_str_mv 4bee3e60aea0526bc85a56ddc8d94023_***_Arif Reza Anwary
author Arif Reza Anwary
author2 Arif Reza Anwary
Hongnian Yu
Michael Vassallo
format Journal article
container_title Sensors
container_volume 18
container_issue 3
container_start_page 676
publishDate 2018
institution Swansea University
issn 1424-8220
doi_str_mv 10.3390/s18020676
publisher MDPI AG
document_store_str 1
active_str 0
published_date 2018-02-24T04:47:50Z
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score 11.089386

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