The population of the elderly people has kept increasing rapidly over the world in the past decades. Solutions that are able to effectively support the elderly people to live independently at their home are thus urgently needed. Ambient assisted living (AAL) aims to provide products and services with ambient intelligence to build a safe environment around people in need. With the high prevalence of multiple chronic diseases, the elderly people often need different levels of care management to prolong independent living at home. An effective AAL system should provide the required clinical support as an extension to the services provided in hospitals. Following the rapid growth of available data, together with the wide application of machine learning technologies, we are now able to build intelligent ambient assisted systems to fulfil such a request. This paper discusses different levels of intelligence in AAL. We also introduce our solution for building an intelligent AAL system with the discussed technologies. Taking semantic web technology as its backbone, such an AAL system is able to aggregate information from different sources, solve the semantic gap between different data sources, and perform adaptive and personalized carepath management based on the ambient environment.

中文翻译：

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智能环境辅助生活系统的观点和解决方案

在过去的几十年中，老年人口在世界范围内一直在迅速增长。因此，迫切需要能够有效支持老年人独立生活的解决方案。环境辅助生活（AAL）旨在提供具有环境智能的产品和服务，以在有需要的人周围建立安全的环境。由于多种慢性病的患病率很高，老年人经常需要不同程度的护理管理以延长独立生活的时间。有效的AAL系统应提供所需的临床支持，以扩展医院提供的服务。随着可用数据的快速增长以及机器学习技术的广泛应用，我们现在能够构建智能的环境辅助系统来满足这一要求。本文讨论了AAL中不同级别的情报。我们还将介绍使用上述技术构建智能AAL系统的解决方案。这种AAL系统以语义Web技术为骨干，能够聚合来自不同来源的信息，解决不同数据源之间的语义鸿沟，并根据周围环境执行自适应和个性化的护理路径管理。