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Fall detection system for elderly people

dc.contributor.authorIgrejas, GetĂșlio
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorRodrigues, Pedro JoĂŁo
dc.date.accessioned2014-09-23T14:14:48Z
dc.date.available2014-09-23T14:14:48Z
dc.date.issued2012
dc.description.abstractaccelerometer 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.por
dc.identifier.citationIgrejas, G.; Amaral, J.S.; Rodrigues, P.J. (2012). Fall detection system for elderly people. In Proceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES 2012). Vilamoura. p.355-358por
dc.identifier.urihttp://hdl.handle.net/10198/10552
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectFall detectionpor
dc.subjectNeural networkpor
dc.subjectInertial sensorspor
dc.subjectFeatures selectionpor
dc.subjectEmbedded devicespor
dc.titleFall detection system for elderly peoplepor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamourapor
oaire.citation.endPage358por
oaire.citation.startPage355por
oaire.citation.titleProceedings of the International Conference on Biomedical Electronics and Devices (BIODEVICES 2012)por
person.familyNameIgrejas
person.familyNameAmaral
person.familyNameRodrigues
person.givenNameGetĂșlio
person.givenNameJoana S.
person.givenNamePedro JoĂŁo
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.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a

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