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AuthorAziz, Omardc.contributor.author
AuthorKlenk, Jochendc.contributor.author
AuthorSchwickert, Larsdc.contributor.author
AuthorChiari, Lorenzodc.contributor.author
AuthorBecker, Clemensdc.contributor.author
AuthorPark, Edward J.dc.contributor.author
AuthorMori, Gregdc.contributor.author
AuthorRobinovitch, Stephen N.dc.contributor.author
Date of accession2018-12-19T14:21:21Zdc.date.accessioned
Available in OPARU since2018-12-19T14:21:21Zdc.date.available
Date of first publication2017dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordemergency response systemsdc.subject
Keywordcontinuous unscripted activitiesdc.subject
Keywordolder personsdc.subject
Keywordaccelerometersdc.subject
Keywordalgorithmsdc.subject
Keywordinabilitydc.subject
Keywordpeopledc.subject
Keywordcohortdc.subject
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
TitleValidation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasetsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyMedizinische Fakultätuulm.affiliationGeneral
InstitutionInstitut für Epidemiologie und Medizinische Biometrieuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1371/journal.pone.0180318dc.identifier.doiExternal
Source - Title of sourcePLoS ONEsource.title
Source - Place of publicationPublic Library of Sciencesource.publisher
Source - Volume12source.volume
Source - Issue7source.issue
Source - Year2017source.year
Source - Article numbere0180318source.articleNumber
Source - ISSN1932-6203source.identifier.issn
Open Accessgolduulm.OA
CommunityMedizinische Fakultätuulm.community
WoS000405272200051uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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