Fuzzy ambient intelligence for next generation telecare

被引：13

作者：

Martin, Trevor ^{[1
]}

Majeed, Basim ^{[2
]}

Lee, Beum-Seuk ^{[1
]}

Clarke, Nick ^{[1
]}

机构：

[1] Univ Bristol, Artificial Intelligence Grp, Bristol BS8 1TR, Avon, England

[2] Intelligent Syst Lab, Computat Intelligence Grp, BT Res & Venturing, Ipswich IP5 3RE, Suffolk, England

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年

关键词：

D O I：

10.1109/FUZZY.2006.1681817

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Third generation telecare involves a customised sensor network, able to detect a person's movements and use of furniture and household items, coupled with a sophisticated fuzzy data analysis process able to answer high level queries such as "is the person eating regularly". Soft computing techniques are needed due to the high degree of uncertainty in the inference process. We describe a trial system, which has been installed in two homes. Results indicate that fuzzy analysis enables us to summarise the data in a manner which is useful to the care providers without them needing to be experts in data analysis.

引用

页码：894 / +

页数：2

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