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Unobtrusive fall detection and prevention: Extending from a prototype test to a pilot trial

dc.contributor.authorRau, Henriette
dc.contributor.authorGrieger, Jacob
dc.contributor.authorMarzahl, Christian
dc.contributor.authorPenndorf, Peter
dc.contributor.authorStaemmler, Martin
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:57:24Z
dc.date.available2018-11-06T10:57:24Z
dc.date.issued2012
dc.description.abstractFall detection based on images is rated obtrusive and costly. This paper presents an unobtrusive fall detection system, which allows a nearly invisible positioning under furniture and cost-efficient integration and scalability in retirement homes via WLAN. The system classifies events using image analysis and notifies the caregiver if an alarming event occurred. It was successfully tested in a nursing and a retirement home and refined based on the experiences made.en
dc.identifier.isbn978-3-88579-602-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17779
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.subjectfall detection
dc.subjectfall prevention
dc.subjectcontext-aware
dc.subjectstandards
dc.subjectAAL
dc.subjectcomplex event processing
dc.subjectpilot trial
dc.subjectevaluation
dc.titleUnobtrusive fall detection and prevention: Extending from a prototype test to a pilot trialen
dc.typeText/Conference Paper
gi.citation.endPage1469
gi.citation.publisherPlaceBonn
gi.citation.startPage1456
gi.conference.date16.-21. September 2012
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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