An Event-Driven Approach to Activity Recognition in Ambient Assisted Living

被引：0

作者：

Storf, Holger ^{[1
]}

Klemberger, Thomas ^{[1
]}

Becker, Martin ^{[1
]}

Schmitt, Mario ^{[1
]}

Bomarius, Frank ^{[1
]}

Prueckner, Stephan ^{[2
]}

机构：

[1] Fraunhofer Inst Expt Software Engn, Fraunhofer Pl 1, D-67663 Kaiserslautern, Germany

[2] West Klinicum GMBH, Dept Anaesthesia & Emergency Med, D-67665 Kaiserslautern, Germany

来源：

AMBIENT INTELLIGENCE, PROCEEDINGS | 2009年 / 5859卷

关键词：

Information Processing; Activity Recognition; Ambient Assisted Living; Multi-Agent Systems; Complex Event Processing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One central challenge of Ambient Assisted Living systems is reliable recognition of the assisted person's current behavior, so that adequate assistance set vices can be offered in a specific situation In the context of emergency support. such a situation might be an acute emergency situation or a deviation from the usual behavior To optimize prevention of emergencies, reliable recognition of characteristic Activities of Daily Living (ADLs) is promising In this paper, we present out approach to processing information for the detection of ADLs in the EMERGE project The approach is based on our multi-agent activity recognition framework EARS with its special definition language EARL An evaluation with controlled experiments has woven its suitability

引用

页码：123 / +

页数：2

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