Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring

Felisberto, Filipe; Costa, Nuno; Fdez-Riverola, Florentino; Pereira, António

Publication

Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring

2012-09-13Journal article

datacite.subject.sdg	08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg	09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg	10:Reduzir as Desigualdades
dc.contributor.author	Felisberto, Filipe
dc.contributor.author	Costa, Nuno
dc.contributor.author	Fdez-Riverola, Florentino
dc.contributor.author	Pereira, António
dc.date.accessioned	2025-10-28T09:59:34Z
dc.date.available	2025-10-28T09:59:34Z
dc.date.issued	2012-09-13
dc.description.abstract	The technological advances in medical sensors, low-power microelectronics and miniaturization, wireless communications and networks have enabled the appearance of a new generation of wireless sensor networks: the so-called wireless body area networks (WBAN). These networks can be used for continuous monitoring of vital parameters, movement, and the surrounding environment. The data gathered by these networks contributes to improve users’ quality of life and allows the creation of a knowledge database by using learning techniques, useful to infer abnormal behaviour. In this paper we present a wireless body area network architecture to recognize human movement, identify human postures and detect harmful activities in order to prevent risk situations. The WBAN was created using tiny, cheap and low-power nodes with inertial and physiological sensors, strategically placed on the human body. Doing so, in an as ubiquitous as possible way, ensures that its impact on the users’ daily actions is minimum. The information collected by these sensors is transmitted to a central server capable of analysing and processing their data. The proposed system creates movement profiles based on the data sent by the WBAN’s nodes, and is able to detect in real time any abnormal movement and allows for a monitored rehabilitation of the user.	eng
dc.description.sponsorship	This work has been partially supported by the The Innovation Network of the Central Region, Portugal (RICE) Project, co-funded by Portuguese Program MaisCentro (SAICT); and Body Area Networks for Elder’s Support (BodyNet), project funded by Polytechnic Institute of Leiria; and the Computer-Assisted Recovery (CAR), project funded by INOV INESC INOVAÇÃO—Institute for New Technologies.
dc.identifier.citation	Felisberto, F., Costa, N., Fdez-Riverola, F., & Pereira, A. (2012). Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring. Sensors, 12(9), 12473-12488. https://doi.org/10.3390/s120912473
dc.identifier.doi	10.3390/s120912473
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10400.8/14390
dc.language.iso	eng
dc.peerreviewed	yes
dc.publisher	MDPI AG
dc.relation.ispartof	Sensors
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Wireless Body Area Networks
dc.subject	Motion recognition
dc.subject	Rehabilitation
dc.subject	Profiling
dc.subject	Inertial and physiological sensors
dc.title	Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring	eng
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.issue	9
oaire.citation.title	Sensors
oaire.citation.volume	12
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyName	Costa
person.familyName	Pereira
person.givenName	Nuno
person.givenName	António
person.identifier.ciencia-id	CB19-E7DA-5A7F
person.identifier.ciencia-id	E215-4F0F-33EC
person.identifier.orcid	0000-0002-2353-369X
person.identifier.orcid	0000-0001-5062-1241
person.identifier.rid	M-6163-2013
person.identifier.scopus-author-id	56890641000
person.identifier.scopus-author-id	7402230199
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relation.isAuthorOfPublication.latestForDiscovery	00e2f470-c7a0-4c7e-9edd-6256f9a05c4a