Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Logo des Repositoriums
 
Textdokument

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

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Zusatzinformation

Datum

2017

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik, Bonn

Zusammenfassung

This 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.

Beschreibung

Bleser, Gabriele; Christmann, Corinna; Taetz, Bertram; Steffen, Daniel; Hoffmann, Alexandra; Mieza, Markus (2017): Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System. INFORMATIK 2017. DOI: 10.18420/in2017_65. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 691-695. Partizipatives Entwerfen soziotechnischer Systeme. Chemnitz. 25.-29. September 2017

Zitierform

Tags