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

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.identifier.isbn978-3-88579-669-5
dc.identifier.issn1617-5468
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.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
mci.reference.pages691-695
mci.conference.sessiontitlePartizipatives Entwerfen soziotechnischer Systeme
mci.conference.locationChemnitz
mci.conference.date25.-29. September 2017
dc.identifier.doi10.18420/in2017_65


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