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A privacy-aware fall detection system for hospitals and nursing facilities

Paper presented at CPDP 2016, 9th International Conference Computers, Privacy and Data Protection; Brussels, 27-29 January 2016
 
: Krempel, Erik; Birnstill, Pascal; Beyerer, Jürgen

:
Volltext urn:nbn:de:0011-n-4260222 (324 KByte PDF)
MD5 Fingerprint: 989174ddcb91e8fe87eb98b591ff5e76
Erstellt am: 13.12.2016


2016, 14 S.
International Conference "Computers, Privacy and Data Protection" (CPDP) <9, 2016, Brussels>
Englisch
Vortrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Hospitals and nursing facilities are confronted with a critical shortage of qualified nursing staff. At the same time, patient safety must not fall by the wayside. Therefore we are facing a growing demand for assistance technologies that free up time for medical responsibilities. We introduce a fall detection system based on cameras and computer vision algorithms, which satisfies the high privacy demands of hospitals and nursing facilities. Our system explains its operations to patients and staff in order to establish transparency. Whenever we show video data to a nurse, it is either anonymized using image processing techniques or protected against misuse through usage control enforcement. We thus provide a system with a high level of functionality without sacrifying privacy.

: http://publica.fraunhofer.de/dokumente/N-426022.html