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

Schwarzmeier A, Roth N, Weigel R, Fischer G, Kissinger D (2014)

Publication Type: Conference contribution

Publication year: 2014

Conference Proceedings Title: BMT 2014 - 48. Jahrestagung der DGBMT

Event location: Germany

DOI: 10.1515/bmt-2014-4100

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.

Authors with CRIS profile

Andre Schwarzmeier Lehrstuhl für Technische Elektronik Nils Roth Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Robert Weigel Lehrstuhl für Technische Elektronik Georg Fischer Professur für Technische Elektronik Dietmar Kissinger Lehrstuhl für Technische Elektronik

Additional Organisation(s)

Machine Learning and Data Analytics Lab

How to cite

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.

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