Title :
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
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;
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
DOI :
10.1109/BROADCOM.2008.36
