Authors:
Patrice C. Roy
1
;
Bruno Bouchard
2
;
Abdenour Bouzouane
2
and
Sylvain Giroux
1
Affiliations:
1
Domus laboratory, Université de Sherbrooke, Canada
;
2
LIAPA laboratory, Université du Québec à Chicoutimi, Canada
Keyword(s):
Ambient intelligence, Activity recognition, Possibilistic description logic, Smart homes, Cognitive assistance.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Ambient Intelligence
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
;
Uncertainty in AI
Abstract:
The development towards ambient computing will stimulate research in many fields of artificial intelligence, such as activity recognition. To address this challenging issue, we present a formal activity recognition framework based on possibility theory, which is largely different from the majority of all recognition approaches proposed that are usually based on probability theory. To validate this novel alternative, we are developing an ambient agent for the cognitive assistance of an Alzheimer’s patient within a smart home, in order to identify the various ways of supporting him in carrying out his activities of daily living.