Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/19012

TitleUser recognition in AAL environments
Author(s)Costa, Ricardo
Novais, Paulo
Costa, Ângelo
Lima, Luís
Neves, José
KeywordsAmbient Assisted Living
e-Health
Face recognition
Issue date2010
PublisherSpringer
JournalAdvances in Intelligent and Soft Computing
Abstract(s)Healthcare projects that intend to decrease the economical and social costs of the real ageing population phenomenon, through the de-localisation of healthcare services delivery and management to the home, have been arising in the scientific community. The VirtualECare project is one of those, so called, Ambient Assisted Living environments, which we have taken a step forward with the introduction of proactive techniques for better adapting to its users, namely elderly or chronic patients, once it is able to learn with their interaction based in contexts. This learning, however, causes the system need to know with whom it is interacting. Basic detection techniques based in possible devices that users carries along with them (e.g. RFID tags, mobile phones, ...) are not good enough, since they can lose/forgot/switch them. To obtain the expected results the technology used has to be more advanced and available in several platforms. One possible and already fairly developed technique is Facial Recognition, and it appears to be the most appropriate one to handle the problem.This document exposes the initial approach of the VirtualECare project to the Facial Recognition area.
TypeConference paper
DescriptionSpringer - Series Advances in Intelligent and Soft Computing, vol. 72
URIhttp://hdl.handle.net/1822/19012
ISBN978-3-642-13267-4
ISSN1867-5662
Publisher versionhttp://dx.doi.org/10.1007/978-3-642-13268-1_21
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Livros e Capítulos de livros

Files in This Item:
File Description SizeFormat 
2010 - Springer ISAmI CNCLN.pdf1,62 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID