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Fall detection system for elderly people : a neural network approach

dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorRodrigues, Pedro João
dc.date.accessioned2014-09-15T09:20:18Z
dc.date.available2014-09-15T09:20:18Z
dc.date.issued2012
dc.description.abstractIn this work a new approach for a fall detection system is proposed. The device integrates a 3-axis accelerometer and a 3-axis gyroscope to measure linear acceleration and angular velocities, respectively. Information from both sensors is used to characterize movements through selected features extracted from raw data. A classification system based on a Feedforward Backpropagation Neural Network is then trained, based on the extracted features. The performed tests present low false positives and low false negatives rates with good specificity and sensitivity values.
dc.identifier.citationIgrejas, Getúlio; Amaral, J.S.; Rodrigues, P.J. (2012). Fall detection system for elderly people : a neural network approach. In Final Program and Book of Abstracts BIOSTEC 2012. Vilamoura, Portugalpor
dc.identifier.urihttp://hdl.handle.net/10198/10426
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleFall detection system for elderly people : a neural network approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamoura, Portugalpor
oaire.citation.endPage154por
oaire.citation.startPage154por
oaire.citation.titleFinal Program and Book of Abstracts BIOSTEC 2012por
person.familyNameIgrejas
person.familyNameAmaral
person.familyNameRodrigues
person.givenNameGetúlio
person.givenNameJoana S.
person.givenNamePedro João
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.ciencia-id1316-21BB-9015
person.identifier.orcid0000-0002-6820-8858
person.identifier.orcid0000-0002-3648-7303
person.identifier.orcid0000-0002-0555-2029
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublication.latestForDiscovery6c5911a6-b62b-4876-9def-60096b52383a

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