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Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System

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dc.contributor.authorBleser, Gabriele
dc.contributor.authorChristmann, Corinna
dc.contributor.authorTaetz, Bertram
dc.contributor.authorSteffen, Daniel
dc.contributor.authorHoffmann, Alexandra
dc.contributor.authorMieza, Markus
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:48:56Z
dc.date.available2017-08-28T23:48:56Z
dc.date.issued2017
dc.description.abstractThis abstract presents an iterative and multi-perspective context of use analysis approach for identifying medically relevant application scenarios and required features for a motion analysis system based on inertial motion capture technology. Different iterations of one underlying process are described and discussed. The focus is on how all participating research disciplines as well as potential users in terms of healthcare providers can be involved in this process on equal footing.en
dc.identifier.doi10.18420/in2017_65
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectinertial motion capture
dc.subjectlocomotion analysis
dc.subjectcontext of use analysis
dc.subjectobservation
dc.subjectcontextual inquiry
dc.subjectqualitative interview
dc.titleIdentification of Medically Relevant Application Scenarios for a Wearable Motion Analysis Systemen
gi.citation.endPage695
gi.citation.startPage691
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitlePartizipatives Entwerfen soziotechnischer Systeme

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