Viusal fall alert service in low computational power device to assist persons' with dementia

Doulamis, N

dc.contributor.author	Doulamis, N	en
dc.date.accessioned	2014-03-01T02:47:10Z
dc.date.available	2014-03-01T02:47:10Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33018
dc.subject	Computational efficiency	en
dc.subject	Fall detection	en
dc.subject	Visual analysis	en
dc.subject.other	Alert service	en
dc.subject.other	Clinical conditions	en
dc.subject.other	Computational power	en
dc.subject.other	Computationally efficient	en
dc.subject.other	Environmental change	en
dc.subject.other	Fall detection	en
dc.subject.other	Processing capability	en
dc.subject.other	Proposed architectures	en
dc.subject.other	Visual analysis	en
dc.subject.other	Visual observations	en
dc.subject.other	Visual surveillance	en
dc.subject.other	Algorithms	en
dc.subject.other	Diseases	en
dc.subject.other	Computational efficiency	en
dc.title	Viusal fall alert service in low computational power device to assist persons' with dementia	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISABEL.2010.5702871	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISABEL.2010.5702871	en
heal.identifier.secondary	5702871	en
heal.publicationDate	2010	en
heal.abstract	In this paper, we propose a computationally efficient fall detection algorithm which exploits visual observations. The proposed architecture is designed to be suitable for devices of low processing capabilities allowing a large scale implementation of the proposed IT technology in the area of aiding elderly or persons' with dementia. In contrast to other approaches, visual surveillance is more natural way for detecting persons' falls, especially for people of dementia where falls are often repeatedly. The algorithm has been evaluated in the lab and real-life clinical conditions, indicating a robust fall detection even in cases of high environmental changes. ©2010 IEEE.	en
heal.journalName	2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010	en
dc.identifier.doi	10.1109/ISABEL.2010.5702871	en