Assistance to people suffering from cognitive deficiencies in a smart
home raises complex issues. Plan recognition is one of them. We propose
a formal framework for the recognition process based on lattice theory
and action description logic. The framework minimizes the uncertainty
about the prediction of the observed agent�s behaviour by dynamically
generating new implicit extra-plans. This approach offers an effective
solution to actual plan recognition problem in a smart home, in order
to provide assistance to persons suffering from cognitive deficits.
An implementation of this model was incorporated in our smart home
laboratory, in order to validate the approach. We currently planning
the experimentation phase of the system, which will be based on a
set of real case scenarios.
%0 Journal Article
%1 Bouchard2006
%A Bouchard, Bruno
%A Giroux, Sylvain
%A Bouzouane, Abdenour
%D 2006
%J Journal of Computers
%K imported
%N 5
%P 53-62
%T A Smart Home Agent for Plan Recognition of Cognitively-impaired Patients
%V 1
%X Assistance to people suffering from cognitive deficiencies in a smart
home raises complex issues. Plan recognition is one of them. We propose
a formal framework for the recognition process based on lattice theory
and action description logic. The framework minimizes the uncertainty
about the prediction of the observed agent�s behaviour by dynamically
generating new implicit extra-plans. This approach offers an effective
solution to actual plan recognition problem in a smart home, in order
to provide assistance to persons suffering from cognitive deficits.
An implementation of this model was incorporated in our smart home
laboratory, in order to validate the approach. We currently planning
the experimentation phase of the system, which will be based on a
set of real case scenarios.
@article{Bouchard2006,
abstract = {Assistance to people suffering from cognitive deficiencies in a smart
home raises complex issues. Plan recognition is one of them. We propose
a formal framework for the recognition process based on lattice theory
and action description logic. The framework minimizes the uncertainty
about the prediction of the observed agent�s behaviour by dynamically
generating new implicit extra-plans. This approach offers an effective
solution to actual plan recognition problem in a smart home, in order
to provide assistance to persons suffering from cognitive deficits.
An implementation of this model was incorporated in our smart home
laboratory, in order to validate the approach. We currently planning
the experimentation phase of the system, which will be based on a
set of real case scenarios.},
added-at = {2009-04-08T07:57:12.000+0200},
author = {Bouchard, Bruno and Giroux, Sylvain and Bouzouane, Abdenour},
biburl = {https://www.bibsonomy.org/bibtex/2f4be56e7653c66a804eefaf5c7d6d005/aihec},
interhash = {21bd87c158555bb89fe61825aa9752fd},
intrahash = {f4be56e7653c66a804eefaf5c7d6d005},
journal = {Journal of Computers},
keywords = {imported},
number = 5,
owner = {Clifton Phua},
pages = {53-62},
timestamp = {2009-04-08T07:57:12.000+0200},
title = {A Smart Home Agent for Plan Recognition of Cognitively-impaired Patients},
volume = 1,
year = 2006
}