Repository logo
 
Publication

Fall detection system for elderly people

dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorRodrigues, Pedro João
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 object
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.familyNameSoares Amaral
person.familyNameSoares Rodrigues
person.givenNameGetúlio
person.givenNameJoana Andrêa
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.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

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
6. BIODEVICES 2012.pdf
Size:
771.21 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: