Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System
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.
- Vollständige Referenz
- BibTeX
Bleser, G., Christmann, C., Taetz, B., Steffen, D., Hoffmann, A. & Mieza, M.,
(2017).
Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System.
In:
Eibl, M. & Gaedke, M.
(Hrsg.),
INFORMATIK 2017.
Gesellschaft für Informatik, Bonn.
(S. 691-695).
DOI: 10.18420/in2017_65
@inproceedings{mci/Bleser2017,
author = {Bleser, Gabriele AND Christmann, Corinna AND Taetz, Bertram AND Steffen, Daniel AND Hoffmann, Alexandra AND Mieza, Markus},
title = {Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 691-695 } ,
doi = { 10.18420/in2017_65 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Bleser, Gabriele AND Christmann, Corinna AND Taetz, Bertram AND Steffen, Daniel AND Hoffmann, Alexandra AND Mieza, Markus},
title = {Identification of Medically Relevant Application Scenarios for a Wearable Motion Analysis System},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 691-695 } ,
doi = { 10.18420/in2017_65 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
DOI: 10.18420/in2017_65
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
Datum: 2017
Sprache:
(en)
(en)Keywords
Sammlungen
- P275 - INFORMATIK 2017 [266]

