Author(s):
Costa, Ricardo 
; Novais, Paulo ; Costa, Ângelo ; Lima, Luís ; Neves, José
Date: 2010
Persistent ID: http://hdl.handle.net/1822/19012
Origin: RepositóriUM - Universidade do Minho
Subject(s): Ambient Assisted Living; e-Health; Face recognition
Description
Springer - Series Advances in Intelligent and Soft Computing, vol. 72 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.
