Wearable magnetic induction-based approach toward 3D motion tracking

Abstract Activity recognition using wearable sensors has gained popularity due to its wide range of applications, including healthcare, rehabilitation, sports, and senior monitoring. Tracking the body movement in 3D space facilitates behavior recognition in different scenarios. Wearable systems have...

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Autores principales:	Negar Golestani, Mahta Moghaddam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8fcd127bcb0649fea14b085135abdd1e
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id	oai:doaj.org-article:8fcd127bcb0649fea14b085135abdd1e
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spelling	oai:doaj.org-article:8fcd127bcb0649fea14b085135abdd1e2021-12-02T18:48:24ZWearable magnetic induction-based approach toward 3D motion tracking10.1038/s41598-021-98346-52045-2322https://doaj.org/article/8fcd127bcb0649fea14b085135abdd1e2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98346-5https://doaj.org/toc/2045-2322Abstract Activity recognition using wearable sensors has gained popularity due to its wide range of applications, including healthcare, rehabilitation, sports, and senior monitoring. Tracking the body movement in 3D space facilitates behavior recognition in different scenarios. Wearable systems have limited battery capacity, and many critical challenges have to be addressed to gain a trade-off among power consumption, computational complexity, minimizing the effects of environmental interference, and achieving higher tracking accuracy. This work presents a motion tracking system based on magnetic induction (MI) to tackle the challenges and limitations inherent in designing a wireless monitoring system. We integrated a realistic prototype of an MI sensor with machine learning techniques and investigated one-sensor and two-sensor configuration setups for motion reconstruction. This approach is successfully evaluated using measured and synthesized datasets generated by the analytical model of the MI system. The system has an average distance root-mean-squared error (RMSE) error of 3 cm compared to the ground-truth real-world measured data with Kinect.Negar GolestaniMahta MoghaddamNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Negar Golestani Mahta Moghaddam Wearable magnetic induction-based approach toward 3D motion tracking
description	Abstract Activity recognition using wearable sensors has gained popularity due to its wide range of applications, including healthcare, rehabilitation, sports, and senior monitoring. Tracking the body movement in 3D space facilitates behavior recognition in different scenarios. Wearable systems have limited battery capacity, and many critical challenges have to be addressed to gain a trade-off among power consumption, computational complexity, minimizing the effects of environmental interference, and achieving higher tracking accuracy. This work presents a motion tracking system based on magnetic induction (MI) to tackle the challenges and limitations inherent in designing a wireless monitoring system. We integrated a realistic prototype of an MI sensor with machine learning techniques and investigated one-sensor and two-sensor configuration setups for motion reconstruction. This approach is successfully evaluated using measured and synthesized datasets generated by the analytical model of the MI system. The system has an average distance root-mean-squared error (RMSE) error of 3 cm compared to the ground-truth real-world measured data with Kinect.
format	article
author	Negar Golestani Mahta Moghaddam
author_facet	Negar Golestani Mahta Moghaddam
author_sort	Negar Golestani
title	Wearable magnetic induction-based approach toward 3D motion tracking
title_short	Wearable magnetic induction-based approach toward 3D motion tracking
title_full	Wearable magnetic induction-based approach toward 3D motion tracking
title_fullStr	Wearable magnetic induction-based approach toward 3D motion tracking
title_full_unstemmed	Wearable magnetic induction-based approach toward 3D motion tracking
title_sort	wearable magnetic induction-based approach toward 3d motion tracking
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8fcd127bcb0649fea14b085135abdd1e
work_keys_str_mv	AT negargolestani wearablemagneticinductionbasedapproachtoward3dmotiontracking AT mahtamoghaddam wearablemagneticinductionbasedapproachtoward3dmotiontracking
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Wearable magnetic induction-based approach toward 3D motion tracking

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