Resident´s activity at different abstraction levels: Proposition of a general theoretical framework

Author

Pomponio, Laura ; Goc, Marc Le ; Pascual, Eric ; Anfosso, Alain

Author_Institution

Lab. des Sci. de d´´Inf. et de Syst., Domaine Univ. de St. Jerome, Marseille, France

Volume

2

fYear

2011

fDate

15-17 Sept. 2011

Firstpage

540

Lastpage

545

Abstract

One of the major issues of monitoring activities in smart environments is the building of activity models from sensor´s timed data. This paper proposes a general theoretical approach to this aim that provides operational results as it is illustrated with the prototypical home of the GerHome project. This proposal is based on the use of a Knowledge Engineering methodology and a Machine Learning process that are both funded on a general theory of dynamic process modeling, the Timed Observation Theory.

Keywords

computerised monitoring; home computing; learning (artificial intelligence); GerHome project; abstraction levels; activity models; dynamic process modeling; knowledge engineering methodology; machine learning process; monitoring activities; prototypical home; sensor timed data; smart environment; timed observation theory; Databases; Humans; Machine learning; Monitoring; Proposals; Semantics; Sensors; Abstraction Levels; Dynamic Process Modeling; Machine Learning; Smart Environments;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on

Conference_Location

Prague

Print_ISBN

978-1-4577-1426-9

Type

conf

DOI

10.1109/IDAACS.2011.6072825

Filename

6072825