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A Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based on Sensor Fusion

datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFelisberto, Filipe
dc.contributor.authorFdez.-Riverola, Florentino
dc.contributor.authorPereira, António
dc.date.accessioned2026-06-15T11:15:09Z
dc.date.available2026-06-15T11:15:09Z
dc.date.issued2014-05-21
dc.description.abstractThe low average birth rate in developed countries and the increase in life expectancy have lead society to face for the first time an ageing situation. This situation associated with the World’s economic crisis (which started in 2008) forces the need of equating better and more efficient ways of providing more quality of life for the elderly. In this context, the solution presented in this work proposes to tackle the problem of monitoring the elderly in a way that is not restrictive for the life of the monitored, avoiding the need for premature nursing home admissions. To this end, the system uses the fusion of sensory data provided by a network of wireless sensors placed on the periphery of the user. Our approach was also designed with a low-cost deployment in mind, so that the target group may be as wide as possible. Regarding the detection of long-term problems, the tests conducted showed that the precision of the system in identifying and discerning body postures and body movements allows for a valid monitorization and rehabilitation of the user. Moreover, concerning the detection of accidents, while the proposed solution presented a near 100% precision at detecting normal falls, the detection of more complex falls (i.e., hampered falls) will require further study.eng
dc.description.sponsorshipFilipe Felisberto thanks the Fundação para a Ciência e Tecnologia (FCT), Portugal for the Research Grant SFRH/BD/89370/2012. This work was partially funded by (i) Computer-Assisted Recovery (CAR) project funded by INOV INESC INOVAÇÃO-Institute for New Technologies, (ii) the Agrupamento INBIOMED (2012/273) from DXPCTSUG-FEDER unha maneira de facer Europa and (iii) the European Union Seventh Framework Programme (FP7/REGPOT-2012-2013.1) under grant agreement no. 316265 BIOCAPS.
dc.identifier.citationFelisberto, F., Fdez.-Riverola, F., & Pereira, A. (2014). A Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based on Sensor Fusion. Sensors, 14(5), 8961-8983. https://doi.org/10.3390/s140508961
dc.identifier.doi10.3390/s140508961
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.8/16417
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI AG
dc.relationDEVELOPMENT OF EVOLVING MOVEMENT PROFILES USING A BODY AREA NETWORK AND INTELLIGENT AGENTS
dc.relation.hasversionhttps://www.mdpi.com/1424-8220/14/5/8961
dc.relation.ispartofSensors
dc.rights.uriN/A
dc.subjectInertial sensors fusion
dc.subjectWireless Sensor Networks
dc.subjectWireless Body Area Networks
dc.subjectMotion recognition
dc.subjectRehabilitation
dc.subjectProfiling
dc.titleA Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based on Sensor Fusioneng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/89370/2012
oaire.awardTitleDEVELOPMENT OF EVOLVING MOVEMENT PROFILES USING A BODY AREA NETWORK AND INTELLIGENT AGENTS
oaire.awardURIhttp://hdl.handle.net/10400.8/15495
oaire.citation.endPage8983
oaire.citation.issue5
oaire.citation.startPage8961
oaire.citation.titleJournal of Sensors
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameEng. Informática
person.familyNamePereira
person.givenNameAntónio
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id7402230199
relation.isAuthorOfPublication6320b167-2323-4699-bf04-9288d3f603c0
relation.isAuthorOfPublication.latestForDiscovery6320b167-2323-4699-bf04-9288d3f603c0
relation.isProjectOfPublication10e21803-fd63-470b-88d1-10317f6d8ccd
relation.isProjectOfPublication.latestForDiscovery10e21803-fd63-470b-88d1-10317f6d8ccd

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