在智能家居和城市中实现对老年人依赖的情境感知和自动评估

Tayeb Lemlouma, Sébastien Laborie, P. Roose
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引用次数: 26

摘要

在这项工作中,我们提出了一个自动依赖评估框架,可以通知老年人依赖的变化,从而及时为人们提供所需的服务。为了验证我们的方法,我们以依赖法国的人口为目标。特别是,我们的建议集中在法国医学领域使用的AGGIR依赖模型上。我们的目标是提供一个灵活的架构和一个可扩展的模型,链接到开放数据,可以引用各种各样的服务(硬件传感器和软件;简单或组合服务)。
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Toward a context-aware and automatic evaluation of elderly dependency in smart homes and cities
In this work, we propose a framework for automatic dependency evaluation that can notify the changes of the elderly dependency, hence providing persons with required services in time. In order to validate our approach, we target the French dependent population. Especially, we focus our proposal on the AGGIR dependency model used in the French medical field. Our objective is to provide a flexible architecture and an extensible model linked to opened data that can refer to a wide variety of services (hardware sensors and software; simple or composed services).
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