Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, d...

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Autores principales:	Idongesit Ekerete, Matias Garcia-Constantino, Yohanca Diaz-Skeete, Chris Nugent, James McLaughlin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	unobtrusive sensing data fusion data mining radar sensing thermal sensing sprained ankle Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/16efccc3dc514e288de1be0f05d0b8d9
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id	oai:doaj.org-article:16efccc3dc514e288de1be0f05d0b8d9
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spelling	oai:doaj.org-article:16efccc3dc514e288de1be0f05d0b8d92021-11-25T18:57:27ZFusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments10.3390/s212275601424-8220https://doaj.org/article/16efccc3dc514e288de1be0f05d0b8d92021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7560https://doaj.org/toc/1424-8220The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life and users’ inability to remember to charge and wear the devices are often the challenges for their usage. In addition, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. Therefore, this paper proposes the use and fusion of privacy-friendly and Unobtrusive Sensing Solutions (USSs) for data collection and processing during SPAREs in home environments. The present work aims to monitor SPAREs such as dorsiflexion, plantarflexion, inversion, and eversion using radar and thermal sensors. The main contributions of this paper include (i) privacy-friendly monitoring of SPAREs in a home environment, (ii) fusion of SPAREs data from homogeneous and heterogeneous USSs, and (iii) analysis and comparison of results from single, homogeneous, and heterogeneous USSs. Experimental results indicated the advantages of using heterogeneous USSs and data fusion. Cluster-based analysis of data gleaned from the sensors indicated an average classification accuracy of 96.9% with Neural Network, AdaBoost, and Support Vector Machine, amongst others.Idongesit EkereteMatias Garcia-ConstantinoYohanca Diaz-SkeeteChris NugentJames McLaughlinMDPI AGarticleunobtrusive sensingdata fusiondata miningradar sensingthermal sensingsprained ankleChemical technologyTP1-1185ENSensors, Vol 21, Iss 7560, p 7560 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	unobtrusive sensing data fusion data mining radar sensing thermal sensing sprained ankle Chemical technology TP1-1185
spellingShingle	unobtrusive sensing data fusion data mining radar sensing thermal sensing sprained ankle Chemical technology TP1-1185 Idongesit Ekerete Matias Garcia-Constantino Yohanca Diaz-Skeete Chris Nugent James McLaughlin Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
description	The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life and users’ inability to remember to charge and wear the devices are often the challenges for their usage. In addition, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. Therefore, this paper proposes the use and fusion of privacy-friendly and Unobtrusive Sensing Solutions (USSs) for data collection and processing during SPAREs in home environments. The present work aims to monitor SPAREs such as dorsiflexion, plantarflexion, inversion, and eversion using radar and thermal sensors. The main contributions of this paper include (i) privacy-friendly monitoring of SPAREs in a home environment, (ii) fusion of SPAREs data from homogeneous and heterogeneous USSs, and (iii) analysis and comparison of results from single, homogeneous, and heterogeneous USSs. Experimental results indicated the advantages of using heterogeneous USSs and data fusion. Cluster-based analysis of data gleaned from the sensors indicated an average classification accuracy of 96.9% with Neural Network, AdaBoost, and Support Vector Machine, amongst others.
format	article
author	Idongesit Ekerete Matias Garcia-Constantino Yohanca Diaz-Skeete Chris Nugent James McLaughlin
author_facet	Idongesit Ekerete Matias Garcia-Constantino Yohanca Diaz-Skeete Chris Nugent James McLaughlin
author_sort	Idongesit Ekerete
title	Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
title_short	Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
title_full	Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
title_fullStr	Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
title_full_unstemmed	Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
title_sort	fusion of unobtrusive sensing solutions for sprained ankle rehabilitation exercises monitoring in home environments
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/16efccc3dc514e288de1be0f05d0b8d9
work_keys_str_mv	AT idongesitekerete fusionofunobtrusivesensingsolutionsforsprainedanklerehabilitationexercisesmonitoringinhomeenvironments AT matiasgarciaconstantino fusionofunobtrusivesensingsolutionsforsprainedanklerehabilitationexercisesmonitoringinhomeenvironments AT yohancadiazskeete fusionofunobtrusivesensingsolutionsforsprainedanklerehabilitationexercisesmonitoringinhomeenvironments AT chrisnugent fusionofunobtrusivesensingsolutionsforsprainedanklerehabilitationexercisesmonitoringinhomeenvironments AT jamesmclaughlin fusionofunobtrusivesensingsolutionsforsprainedanklerehabilitationexercisesmonitoringinhomeenvironments
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Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

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