Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

被引：1

作者：

Antonio Iglesias, Jose ^{[1
]}

Angelov, Plamen ^{[2
]}

Ledezma, Agapito ^{[1
]}

Sanchis, Araceli ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Madrid, Spain

[2] Univ Lancaster, InfoLab21, Lancaster, England

来源：

ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2010年 / 215卷

关键词：

D O I：

10.3233/978-1-60750-606-5-1047

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These sequences are treated using statistical methods in order to discover activity patterns. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Systems.

引用

页码：1047 / +

页数：2

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