An Engineering Toolbox to Build Situation Aware Ambient Assisted Living Systems

Author

Kurschl, Werner ; Mitsch, Stefan ; Schoenboeck, Johannes

Author_Institution

Dept. of Software Eng., Upper Austria Univ. of Appl. Sci., Hagenberg

fYear

2008

Firstpage

110

Lastpage

116

Abstract

Due to increasing anticipated average life and health expenditure ambient assisted living (AAL) systems attract the attention of researchers. To successfully build and deploy AAL systems knowledge from different fields of computer science is needed: pervasive computing to gain the raw data, machine learning and pattern recognition to interpret these data and HCI knowledge to allow implicit interaction with the system.In this paper we propose a reference architecture for building AAL systems. Based on this reference architecture we introduce a toolbox that simplifies the development of AAL systems. The toolbox consists of a meta-model for pipeline systems, a low-level context model, high-level context ontologies, customizable components and tool support.

Keywords

learning (artificial intelligence); medical computing; ubiquitous computing; user interfaces; customizable components; engineering toolbox; high-level context ontologies; low-level context model; machine learning; pattern recognition; pervasive computing; pipeline systems; situation aware ambient assisted living systems; Buildings; Computer architecture; Computer science; Context modeling; Human computer interaction; Machine learning; Ontologies; Pattern recognition; Pervasive computing; Pipelines; ambient assisted living; model-driven software development; situation aware; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on

Conference_Location

Gauteng

Print_ISBN

978-1-4244-3281-3

Electronic_ISBN

978-0-7695-3453-4

Type

conf

DOI

10.1109/BROADCOM.2008.36

Filename

4696094