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Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units

Previous studies have presented algorithms for detection of turns during gait using wearable sensors, but those algorithms were not built for real-time use. This paper therefore investigates the optimal approach for real-time detection of planned turns during gait using wearable inertial measurement...

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Detalles Bibliográficos
Autores principales: Novak, Domen, Goršič, Maja, Podobnik, Janez, Munih, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239865/
https://www.ncbi.nlm.nih.gov/pubmed/25310470
http://dx.doi.org/10.3390/s141018800
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author Novak, Domen
Goršič, Maja
Podobnik, Janez
Munih, Marko
author_facet Novak, Domen
Goršič, Maja
Podobnik, Janez
Munih, Marko
author_sort Novak, Domen
collection PubMed
description Previous studies have presented algorithms for detection of turns during gait using wearable sensors, but those algorithms were not built for real-time use. This paper therefore investigates the optimal approach for real-time detection of planned turns during gait using wearable inertial measurement units. Several different sensor positions (head, back and legs) and three different detection criteria (orientation, angular velocity and both) are compared with regard to their ability to correctly detect turn onset. Furthermore, the different sensor positions are compared with regard to their ability to predict the turn direction and amplitude. The evaluation was performed on ten healthy subjects who performed left/right turns at three amplitudes (22, 45 and 90 degrees). Results showed that turn onset can be most accurately detected with sensors on the back and using a combination of orientation and angular velocity. The same setup also gives the best prediction of turn direction and amplitude. Preliminary measurements with a single amputee were also performed and highlighted important differences such as slower turning that need to be taken into account.
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spelling pubmed-42398652014-11-21 Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units Novak, Domen Goršič, Maja Podobnik, Janez Munih, Marko Sensors (Basel) Article Previous studies have presented algorithms for detection of turns during gait using wearable sensors, but those algorithms were not built for real-time use. This paper therefore investigates the optimal approach for real-time detection of planned turns during gait using wearable inertial measurement units. Several different sensor positions (head, back and legs) and three different detection criteria (orientation, angular velocity and both) are compared with regard to their ability to correctly detect turn onset. Furthermore, the different sensor positions are compared with regard to their ability to predict the turn direction and amplitude. The evaluation was performed on ten healthy subjects who performed left/right turns at three amplitudes (22, 45 and 90 degrees). Results showed that turn onset can be most accurately detected with sensors on the back and using a combination of orientation and angular velocity. The same setup also gives the best prediction of turn direction and amplitude. Preliminary measurements with a single amputee were also performed and highlighted important differences such as slower turning that need to be taken into account. MDPI 2014-10-10 /pmc/articles/PMC4239865/ /pubmed/25310470 http://dx.doi.org/10.3390/s141018800 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Novak, Domen
Goršič, Maja
Podobnik, Janez
Munih, Marko
Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title_full Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title_fullStr Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title_full_unstemmed Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title_short Toward Real-Time Automated Detection of Turns during Gait Using Wearable Inertial Measurement Units
title_sort toward real-time automated detection of turns during gait using wearable inertial measurement units
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239865/
https://www.ncbi.nlm.nih.gov/pubmed/25310470
http://dx.doi.org/10.3390/s141018800
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