A Fall Detection and Activity Monitoring Algorithm for a Tele-Care System Supporting Dementia and Alzheimer Patients

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Schwarzmeier A, Roth N, Weigel R, Fischer G, Kissinger D
Jahr der Veröffentlichung: 2014
Tagungsband: BMT 2014 - 48. Jahrestagung der DGBMT


Abstract


Dementia and Alzheimer patients who show a “wandering” behaviour combined with excessive activity and unsteady gait are exposed to a particular risk of dangerous falls. Fast and efficient help in case of such an emergency could be provided by a tele-care system comprising a mobile back-plaster as an on-body sensor node that is equipped with sen-sors which not only capture activity and movement data from the patient but also enable indoor and outdoor localiza-tion. This node is linked to an internet server infrastructure including a back-end software. In order to enhance the care quality reliable algorithms for activity monitoring and fall detection are needed.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Fischer, Georg Prof. Dr.-Ing.
Professur für Technische Elektronik
Kissinger, Dietmar Prof. Dr.-Ing.
Lehrstuhl für Technische Elektronik
Roth, Nils
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
Schwarzmeier, Andre
Lehrstuhl für Technische Elektronik
Weigel, Robert Prof. Dr.-Ing.
Lehrstuhl für Technische Elektronik


Zitierweisen

APA:
Schwarzmeier, A., Roth, N., Weigel, R., Fischer, G., & Kissinger, D. (2014). A Fall Detection and Activity Monitoring Algorithm for a Tele-Care System Supporting Dementia and Alzheimer Patients. In BMT 2014 - 48. Jahrestagung der DGBMT. Germany.

MLA:
Schwarzmeier, Andre, et al. "A Fall Detection and Activity Monitoring Algorithm for a Tele-Care System Supporting Dementia and Alzheimer Patients." Proceedings of the BMT 2014 - 48. Jahrestagung der DGBMT, Germany 2014.

BibTeX: 

Zuletzt aktualisiert 2018-08-08 um 11:53