Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks

Designing reliable, scalable and energy efficient sensor-based activity recognition system remains a challenge. Here, the authors demonstrate low power wearable wireless network system based on magnetic induction which is integrated with deep recurrent neural networks for human activity recognition.

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Detalles Bibliográficos
Autores principales:	Negar Golestani, Mahta Moghaddam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/958eab1ee5d94d459220628520456325
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spelling	oai:doaj.org-article:958eab1ee5d94d4592206285204563252021-12-02T14:41:23ZHuman activity recognition using magnetic induction-based motion signals and deep recurrent neural networks10.1038/s41467-020-15086-22041-1723https://doaj.org/article/958eab1ee5d94d4592206285204563252020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15086-2https://doaj.org/toc/2041-1723Designing reliable, scalable and energy efficient sensor-based activity recognition system remains a challenge. Here, the authors demonstrate low power wearable wireless network system based on magnetic induction which is integrated with deep recurrent neural networks for human activity recognition.Negar GolestaniMahta MoghaddamNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Negar Golestani Mahta Moghaddam Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
description	Designing reliable, scalable and energy efficient sensor-based activity recognition system remains a challenge. Here, the authors demonstrate low power wearable wireless network system based on magnetic induction which is integrated with deep recurrent neural networks for human activity recognition.
format	article
author	Negar Golestani Mahta Moghaddam
author_facet	Negar Golestani Mahta Moghaddam
author_sort	Negar Golestani
title	Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
title_short	Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
title_full	Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
title_fullStr	Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
title_full_unstemmed	Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
title_sort	human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/958eab1ee5d94d459220628520456325
work_keys_str_mv	AT negargolestani humanactivityrecognitionusingmagneticinductionbasedmotionsignalsanddeeprecurrentneuralnetworks AT mahtamoghaddam humanactivityrecognitionusingmagneticinductionbasedmotionsignalsanddeeprecurrentneuralnetworks
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Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks

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