Arm Swing Asymmetry Measurement from 2D Gait Videos

Arm swing during gait has been positively related to gait stability and gait efficiency, particularly in the presence of neurological disorders that affect locomotion. However, most gait studies have focused on lower extremities, while arm swing usually remains ignored. In addition, these studies ar...

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Autores principales: Ramón A. Mollineda, Daniel Chía, Ruben Fernandez-Beltran, Javier Ortells
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f0386c4566aa42ba8d022c53d7bb3a7f
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spelling oai:doaj.org-article:f0386c4566aa42ba8d022c53d7bb3a7f2021-11-11T15:37:41ZArm Swing Asymmetry Measurement from 2D Gait Videos10.3390/electronics102126022079-9292https://doaj.org/article/f0386c4566aa42ba8d022c53d7bb3a7f2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2602https://doaj.org/toc/2079-9292Arm swing during gait has been positively related to gait stability and gait efficiency, particularly in the presence of neurological disorders that affect locomotion. However, most gait studies have focused on lower extremities, while arm swing usually remains ignored. In addition, these studies are mostly based on costly, highly-specialized vision systems or on wearable devices which, despite their popularity among researchers and specialists, are still relatively uncommon for the general population. This work proposes a way of estimating arm swing asymmetry from a single 2D gait video. First, two silhouette-based representations that separately capture motion data from both arms were built. Second, a measure to quantify arm swing energy from such a representation was introduced, producing two side-dependent motion measurements. Third, an arm swing asymmetry index was obtained. The method was validated on two public datasets, one with 68 healthy subjects walking normally and one with 10 healthy subjects simulating different styles of arm swing asymmetry. The validity of the asymmetry index at capturing different arm swing patterns was assessed by two non-parametric tests: the Mann–Whitney U test and the Wilcoxon signed-rank test. The so-called physiological asymmetry was observed on the normal gait sequences of both datasets in a statistically similar way. The asymmetry index was able to fairly characterize the different levels of asymmetry simulated in the second set. Results show that it is possible to estimate the arm swing asymmetry from a single 2D gait video, with enough sensitivity to discriminate anomalous patterns from normality. This opens the door to low-cost easy-to-use mobile applications to assist clinicians in monitoring gait condition in primary care (e.g., in the elderly), when more accurate and specialized technologies are often not available.Ramón A. MollinedaDaniel ChíaRuben Fernandez-BeltranJavier OrtellsMDPI AGarticlegait analysisarm swing asymmetryGait Energy Imagecomputer-aided diagnosisElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2602, p 2602 (2021)
institution DOAJ
collection DOAJ
language EN
topic gait analysis
arm swing asymmetry
Gait Energy Image
computer-aided diagnosis
Electronics
TK7800-8360
spellingShingle gait analysis
arm swing asymmetry
Gait Energy Image
computer-aided diagnosis
Electronics
TK7800-8360
Ramón A. Mollineda
Daniel Chía
Ruben Fernandez-Beltran
Javier Ortells
Arm Swing Asymmetry Measurement from 2D Gait Videos
description Arm swing during gait has been positively related to gait stability and gait efficiency, particularly in the presence of neurological disorders that affect locomotion. However, most gait studies have focused on lower extremities, while arm swing usually remains ignored. In addition, these studies are mostly based on costly, highly-specialized vision systems or on wearable devices which, despite their popularity among researchers and specialists, are still relatively uncommon for the general population. This work proposes a way of estimating arm swing asymmetry from a single 2D gait video. First, two silhouette-based representations that separately capture motion data from both arms were built. Second, a measure to quantify arm swing energy from such a representation was introduced, producing two side-dependent motion measurements. Third, an arm swing asymmetry index was obtained. The method was validated on two public datasets, one with 68 healthy subjects walking normally and one with 10 healthy subjects simulating different styles of arm swing asymmetry. The validity of the asymmetry index at capturing different arm swing patterns was assessed by two non-parametric tests: the Mann–Whitney U test and the Wilcoxon signed-rank test. The so-called physiological asymmetry was observed on the normal gait sequences of both datasets in a statistically similar way. The asymmetry index was able to fairly characterize the different levels of asymmetry simulated in the second set. Results show that it is possible to estimate the arm swing asymmetry from a single 2D gait video, with enough sensitivity to discriminate anomalous patterns from normality. This opens the door to low-cost easy-to-use mobile applications to assist clinicians in monitoring gait condition in primary care (e.g., in the elderly), when more accurate and specialized technologies are often not available.
format article
author Ramón A. Mollineda
Daniel Chía
Ruben Fernandez-Beltran
Javier Ortells
author_facet Ramón A. Mollineda
Daniel Chía
Ruben Fernandez-Beltran
Javier Ortells
author_sort Ramón A. Mollineda
title Arm Swing Asymmetry Measurement from 2D Gait Videos
title_short Arm Swing Asymmetry Measurement from 2D Gait Videos
title_full Arm Swing Asymmetry Measurement from 2D Gait Videos
title_fullStr Arm Swing Asymmetry Measurement from 2D Gait Videos
title_full_unstemmed Arm Swing Asymmetry Measurement from 2D Gait Videos
title_sort arm swing asymmetry measurement from 2d gait videos
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f0386c4566aa42ba8d022c53d7bb3a7f
work_keys_str_mv AT ramonamollineda armswingasymmetrymeasurementfrom2dgaitvideos
AT danielchia armswingasymmetrymeasurementfrom2dgaitvideos
AT rubenfernandezbeltran armswingasymmetrymeasurementfrom2dgaitvideos
AT javierortells armswingasymmetrymeasurementfrom2dgaitvideos
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