An ontology-based approach to ADL recognition in smart homes
An ontology-based approach to ADL recognition in smart homes
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DOI：
10.1016/j.future.2013.04.004
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发表时间：
2014-04-01
期刊：
影响因子：
--
通讯作者：
Bae, Ihn-Han
中科院分区：
文献类型：
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作者：
Bae, Ihn-Han
本文提出了一种智能家居中日常生活活动（ADL）的识别方法。识别日常生活活动并跟踪它们可以为健康监测和辅助生活应用提供前所未有的机会，特别是对于老年人和记忆缺陷的人。本文提出了通过发现和监测配备传感器的智能家居中的ADL模式来识别日常生活活动（RADL）。RADL由两个组件组成：智能家居管理监控和ADL模式监控。本文研究了ADL模式监测的主要部分本体库和推理。设计了RADL本体，并利用Protege和Jess工具实现了RADL原型系统。此外，本体的RADL验证OntoCheck在自动模式下，并在手动模式下评估基于度量的方法。(C)2013爱思唯尔有限公司版权所有。
This paper presents a method for recognition of Activities of Daily Living (ADL) in smart homes. Recognition of activities of daily living and tracking them can provide unprecedented opportunities for health monitoring and assisted living applications, especially for elderly people and people with memory deficits. This paper presents Recognizing Activities of Daily Living (RADL) by discovering and monitoring patterns of ADLs in sensor equipped smart homes. The RADL is composed of two components: smart home management monitoring and ADL pattern monitoring. This paper studies the ontology base and the reasoning that are the main parts of ADL pattern monitoring. The ontology for RADL is designed and the prototype system of RADL is implemented using Protege and Jess tools. Also, the ontology for RADL is verified by OntoCheck in automatic mode and evaluated by a metric-based approach in manual mode. (C) 2013 Elsevier B.V. All rights reserved.