The independent LifeStyle Assistant: Lessons learned

被引：44

作者：

Haigh, Karen Zita

Kiff, Liana M.

Ho, Geoffrey

机构：

[1] BBN Technol, Cambridge, MA 02138 USA

[2] Honeywell Labs, Minneapolis, MN USA

来源：

ASSISTIVE TECHNOLOGY | 2006年 / 18卷 / 01期

关键词：

elder care; passive monitoring; intent recognition; machine learning; ontology;

D O I：

10.1080/10400435.2006.10131909

中图分类号：

R49 [康复医学];

学科分类号：

100215 ;

摘要：

The Independent LifeStyle Assistant (I.L.S.A.) is an agent-based monitoring and support system to help elderly people live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments. response planning, real-time responses, and machine learning. This paper describes the six-month study of the system we fielded in elders' homes and the major lessons we learned during development.

引用

页码：87 / 106

页数：20

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