This paper describes strategies for monitoring human behaviour within a smart home and, in a broader perspective, for context–assessment in cognitive systems. The proposed framework, which is inspired by a cognitive theory called Computational Functionalism, is aimed at integrating ontology and logic based approaches to context representation and recognition. Two are the assumptions underlying the model: (i) the availability of an ontology (i.e., a “concept–role” representation of what is relevant in a given domain); (ii) a simple inference scheme (i.e., subsumption between descriptions of elements within the ontology). The context model is formally defined adopting a structural approach that describes contexts and situations as hierarchical structures grounded with respect to the ontology. Examples are presented to discuss the proposed model.
A cognitive model for recognizing human behaviours in smart homes
MASTROGIOVANNI, FULVIO;SGORBISSA, ANTONIO;ZACCARIA, RENATO UGO RAFFAELE
2010-01-01
Abstract
This paper describes strategies for monitoring human behaviour within a smart home and, in a broader perspective, for context–assessment in cognitive systems. The proposed framework, which is inspired by a cognitive theory called Computational Functionalism, is aimed at integrating ontology and logic based approaches to context representation and recognition. Two are the assumptions underlying the model: (i) the availability of an ontology (i.e., a “concept–role” representation of what is relevant in a given domain); (ii) a simple inference scheme (i.e., subsumption between descriptions of elements within the ontology). The context model is formally defined adopting a structural approach that describes contexts and situations as hierarchical structures grounded with respect to the ontology. Examples are presented to discuss the proposed model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.