A Tool for Automated Fall Risk Classification

Werner Kurschl, Michael Neuhold

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

For elderly it is more likely to fall and a fall can lead to severe injuries. Furthermore there is an ongoing discussion, if manual methods without any sensing and computing hardware or automated methods with the support of sensors and computing hardware are better in classifying elderly in regard of their risk to fall. Beside of these discussions, new sensing hardware allows the improvement of existing approaches so that automated fall risk classification can i) use very cheap pressure-sensing hardware, ii) can easily be used by nursing staff, and iii) keep the assessment time short. We present in this paper a tool for automated fall risk classification, which applies the leaning test. We also show that our approach with low measuring frequency and the rather coarse resolution of surface under pressure is able to achieve repeatable and reliable classification results.

OriginalspracheEnglisch
TitelITNG2010 - 7th International Conference on Information Technology
UntertitelNew Generations
Herausgeber (Verlag)IEEE Computer Society’s Conference Publishing Services
Seiten791-797
Seitenumfang7
ISBN (Print)9780769539843
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung7th International Conference on Information Technology : New Generations - Las Vegas, USA/Vereinigte Staaten
Dauer: 12 Apr 201014 Apr 2010
http://www.itng.info
http://www.itng.info/

Publikationsreihe

NameITNG2010 - 7th International Conference on Information Technology: New Generations

Konferenz

Konferenz7th International Conference on Information Technology : New Generations
Land/GebietUSA/Vereinigte Staaten
OrtLas Vegas
Zeitraum12.04.201014.04.2010
Internetadresse

Fingerprint

Untersuchen Sie die Forschungsthemen von „A Tool for Automated Fall Risk Classification“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren