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dc.contributor.authorCasilari-Pérez, Eduardo 
dc.contributor.authorSantoyo-Ramón, José Antonio
dc.contributor.authorCano-García, José María
dc.date.accessioned2017-05-11T12:04:08Z
dc.date.available2017-05-11T12:04:08Z
dc.date.created2017
dc.date.issued2017-05-11
dc.identifier.urihttp://hdl.handle.net/10630/13626
dc.description.abstractThe progress in the field of inertial sensor technology and the widespread popularity of personal electronics such as smartwatches or smartphones have prompted the research on wearable Fall Detection Systems (FDSs). In spite of the extensive literature on FDSs, an open issue is the definition of a common framework that allows a methodical and agreed evaluation of fall detection policies. In this regard, a key aspect is the lack of a public repository of movement datasets that can be employed by the researchers as a common reference to compare and assess their proposals. This work describes UMAFall, a new dataset of movement traces acquired through the systematic emulation of a set of predefined ADLs (Activities of Daily Life) and falls. In opposition to other existing databases for FDSs, which only include the signals captured by one or two sensing points, the testbed deployed for the generation of UMAFall dataset incorporated five wearable sensing points, which were located on five different points of the body of the participants that developed the movements. As a consequence, the obtained data offer an interesting tool to investigate the importance of the sensor placement for the effectiveness of the detection decision in FDSs.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectSistemas de comunicaciones móvileses_ES
dc.subject.otherFall detection systemes_ES
dc.subject.otherAccelerometeres_ES
dc.subject.otherGyroscopees_ES
dc.subject.otherSmartphonees_ES
dc.subject.otherDatasetes_ES
dc.subject.otherWearablees_ES
dc.subject.otherSensorses_ES
dc.titleUMAFall: A Multisensor Dataset for the Research on Automatic Fall Detectiones_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitleThe 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017)es_ES
dc.relation.eventplaceLovaina (bélgica)es_ES
dc.relation.eventdateJulio 2017es_ES
dc.identifier.orcidhttp://orcid.org/0000-0003-2573-1048es_ES
dc.cclicenseby-nc-ndes_ES


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